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Doctor of Technology

Purdue University's online Doctor of Technology program empowers professionals to excel in technology-related fields. This program focuses on contemporary applied research techniques, with two concentrations to choose from: Interdisciplinary and Construction Management Technology. Develop skills in applied research, technology assessment, and effective communication, enhancing your tech leadership career. Join us for Purdue's innovative online Doctor of Technology program.

Ready to Become a Boilermaker?

Tackle complex technology challenges and advance your career in technology leadership..

Acquire advanced skills in technology-related fields with Purdue University’s Doctor of Technology program. Designed for professionals who have a master’s degree or equivalent, this 100% online program empowers you to solve complex technology-related problems in business, government, NGOs and entrepreneurship. Our curriculum emphasizes contemporary applied research techniques, enabling you to accelerate your career and contribute to enterprise performance, efficiency and sustainability. You’ll complete a dissertation focusing on applied/use-inspired research directly relevant to professional practice.

Customize your Doctor of Technology by choosing from two concentrations: Interdisciplinary or Construction Management Technology. The Interdisciplinary concentration offers a diverse range of elective courses to align with your career goals, while the Construction Management Technology concentration provides comprehensive knowledge in construction industry management, technology, and safety. Learning objectives include conducting applied research, analyzing technology-related programs, and functioning at a high level in technology disciplines. Elevate your expertise with Purdue’s innovative online D. Tech. program.

The cost of attending Purdue varies depending on where you choose to live, enrollment in a specific program or college, food and travel expenses, and other variables. The  Office of the Bursar  website shows estimated costs for the current aid year for students by semester and academic year. These amounts are used in determining a student’s estimated eligibility for financial aid. You can also use our  tuition calculator  to estimate tuition costs.

Program Specifics

Learn more about the doctor of technology program.

Purdue University’s online Doctor of Technology program is tailored for master’s degree holders, offering advanced tech skills. Accelerate your career with a focus on applied research, addressing real-world challenges in business, government, NGOs, and entrepreneurship, culminating in a relevant dissertation.

Core Courses

Concentrations: Interdisciplinary and Construction Management Technology

Customize your Doctor of Technology by choosing from two concentrations: Interdisciplinary and Construction Management Technology

Interdisciplinary:  Purdue’s interdisciplinary concentration allows students to take diverse elective courses (24 hours required) in areas like Technology Leadership, Computer & Information Technology, and specialized doctorate electives to align with their career goals.

Construction Management : The Construction Management Technology concentration enhances construction professionals’ expertise with 12 specialized credit hours, covering financial analysis, strategic planning, leadership, and legal aspects for success in the industry.

• Digital Leadership
• Technology Research & Use of Data Analytics
• Global Supply Chain Management
• Leadership of CyberSecurity & CyberForensics
• Global Perspectives on Emerging Technologies
• Demographic Leadership
• Analysis of Research.

Career Outcomes

Top Job Titles

• Analog Design Engineers
• Engineering Technologists
• Engineering Technicians
• Electronics Technicians

Top Industries

• Semiconductor and Related Device Manufacturing
• Aircraft Manufacturing
• Colleges, Universities, and Professional Schools.

Source: LightcastTM (2023). Unique job postings for July 2022-2023. Projected growth for years 2023-2033.

News & Events

Featured story.

Purdue’s 6th Doctor of Technology Graduate Aims to Use His Degree to Improve the Lives of Prosthesis-Users

Sept 15th 2023 | 1:59pm

Most Recent Stories

Pursuing Purdue’s D.Tech. online doctorate of technology pays off for data science leader

December 03, 2021 | 1:49pm

For Purdue’s first online Doctor of Technology grad, flexibility to learn wherever and whenever was key

Sept 11th 2023 | 2:09pm

Are you ready to join the Purdue  innovators  and  changemakers  always striving to make giant leaps forward in our industries and fields? Start your application today!

You are not alone in taking your next giant leap. Get your questions answered, receive application help, or plan your degree journey by speaking with an enrollment counselor. Request more information today. 

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Learning sciences and technologies, doctor of philosophy (ph.d.), you are here, a doctoral program emphasizing research and innovation in education through technology, data, and curriculum design..

The Ph.D. program in Learning Sciences and Technologies is designed to build and study the learning technologies of tomorrow, to analyze large-scale educational data, to develop expertise in learning analytics, and to develop cutting-edge curricula and learning materials.

What Sets Us Apart

About the program.

The program is designed to draw together course work, research apprenticeship, and other professional academic activities to build a comprehensive learning experience that is tailored to students’ interests and needs.

Fall: 3; Spring: 3

Culminating experience Dissertation

Coursework and research experiences in the Learning Sciences and Technologies program address a range of practice-based and theoretical problems in schools, in online learning, and in community settings. Coursework and research experiences consider learning in its full richness and context, using sociocultural, cognitive, and psychological perspectives. Taking an interdisciplinary stance, faculty and students explore how to enhance learning, motivation, and engagement, for the world's diversity of learners, in a range of formal, informal, and online educational settings. Our graduate students study learning in traditional contexts using new technological approaches, and they study new and emerging pedagogies for learning such as constructionist environments, simulations, massive online open courses, serious games, and intelligent tutoring systems. Because of the significance we attach to the building of knowledge from experiences as educators and educational designers, we expect most students to have, on admission to the program, either teaching/instructional experiences (in or outside of school settings), educational design/development experience, or experience as a learning analytics practitioner. Students will build a program of study that includes courses in teaching and learning, social foundations, and research methods. Students in the program participate in field-based research and collaborative projects with practitioners in schools or other educational settings, and/or work with large-scale educational data sets. Students learn not only from a rigorous program of study, but also from active participation in a community of learners including practicing and prospective teachers, and educational designers and researchers.

The Ph.D. in Learning Sciences and Technologies focuses on the preparation of researchers and researcher/developers in education. The program includes formal courses, mentored research, and informal seminars. Ph.D. students are required to hold a master’s degree prior to beginning the Ph.D. program, and are expected to have experience in educational practice. You will build a program of study that includes courses in teaching and learning, social foundations, and research methods. The program is designed to draw together coursework, research apprenticeship, and other professional academic activities to build a complete professional program that is tailored to your interests and needs. For more information about courses and requirements, visit the Learning Sciences and Technologies Ph.D. program in the University Catalog .

• Learning Sciences: Past, Present, and Future • Foundations of Teaching and Learning • Education, Culture, and Society

Methods courses (3 required)

• Core Methods in Educational Data Mining • Mixed Methods • Social Network Analysis • Qualitative Modes of Inquiry • Quantitative Modes of Inquiry

Design (2 required)

• Design of Learning Environments • Maker Studio • Integrated Design Studio • Design Thinking and Product Development

Applications (2 required)

• Games for Learning • Entrepreneurship in Education • Technologies for Language Learning and Teaching • Digital Literacies • Big Data, Education, and Society

Professional Practice

• Research Apprenticeship Course

Our Faculty

Our award-winning faculty design and research formal and informal learning environments. Innovations developed by our faculty range from online learning communities and teacher professional development workshops to more effective curricular and pedagogical approaches. They work in school clubs, museums, classrooms, and virtual worlds across multiple educational settings. With grant-funded projects, as well as ties to Philadelphia schools and institutions, the faculty offer students direct access to nationally significant research on education. Their work connects closely to Penn GSE’s broader focus on equitable access to education across social strata.

Affiliated Faculty

Betty Chandy Director for Online Learning, Catalyst @ Penn GSE Ed.D., University of Pennsylvania

Matthew Duvall Lecturer Ph.D., Drexel University

L. Michael Golden Vice Dean of Innovative Programs and Partnerships, Catalyst @ Penn GSE Ed.D., University of Pennsylvania

Sarah Schneider Kavanagh Associate Professor Ph.D., University of Washington

Sharon M. Ravitch Professor of Practice Ph.D., University of Pennsylvania

Abby Reisman Associate Professor Ph.D., Stanford University

Janine Remillard Professor Ph.D., Michigan State University

Our Graduates

The Ph.D. program in Learning Sciences and Technologies prepares graduates to work in learning sciences research and development in universities, industry, and non-profits. Graduates of this new program are anticipated to work in teaching and research positions in institutions of higher education, or in research and development positions in industry and non-profits. Graduates will learn to build and study the learning technologies of tomorrow, to analyze large-scale educational data, and to develop cutting-edge curricula and learning materials.

Admissions & Financial Aid

Please visit our Admissions and Financial Aid pages for specific information on the application requirements , as well as information on tuition, fees, financial aid, scholarships, and fellowships.

Contact us if you have any questions about the program.

Graduate School of Education University of Pennsylvania 3700 Walnut Street Philadelphia, PA 19104 (215) 898-6415 [email protected] [email protected]

Noemí Fernández Program Manager [email protected]

Please view information from our Admissions and Financial Aid Office for specific information on the cost of this program.

All Ph.D. students are guaranteed a full scholarship for their first four years of study, as well as a stipend and student health insurance. Penn GSE is committed to making your graduate education affordable, and we offer generous scholarships, fellowships, and assistantships.

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Collaboratory for Teacher Education

The Collaboratory for Teacher Education at Penn GSE is a laboratory for the design, implementation, and study of experimental approaches to teacher education.

You May Be Interested In

Related programs.

• Teaching, Learning, and Teacher Education Ed.D.
• Reading/Writing/Literacy Ph.D.
• Reading/Writing/Literacy Ed.D.
• Learning Sciences and Technologies M.S.Ed.
• Teaching, Learning, and Leadership M.S.Ed.
• Education, Culture, and Society Ph.D.

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Get to know the curriculum for your program of choice, exploring courses and requirements.

Visit: Tips for Starting a Degree

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Learn about when and how to register for your first course.

Explore:   Prospective Student Guide

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Explore the various opportunities to dive deep into IT — and design a flexible path through courses, certificates, and degrees.

With master’s degrees from Harvard Extension School, my students win new and interesting jobs, launch their own companies, and pursue PhDs. They make me proud.

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College of Education and Human Development

Department of Curriculum and Instruction

Learning technologies MA / PhD

The MA/PhD track in learning technologies prepares students to conduct research and engage in technology-related practices in higher education, K-12, and business settings. Core focus areas include learning analytics, K-12 technology integration, online distance learning, and multimedia design and development.

Quote from Rukmini Avadhanam

I’m really fortunate to work with faculty who are extremely knowledgeable, very approachable, and who have had a lot of impact on the way I started looking at my research and career. Rukmini Avadhanam PhD candidate, 2023

Coursework in learning technologies includes hands-on learning and use of current technologies, development of technological solutions, consideration of theory and research, and conducting educational research. 

The MA in learning technologies is designed for students interested in a stronger research orientation compared to those who pursue the MEd degree in learning technologies. Students complete a thesis (plan A) or a final paper (plan B). View the required courses in the graduate catalog under subplan "learning technologies." 

The PhD experience is based upon your research interests with your faculty adviser. To view the curriculum requirements in detail visit the course catalog go to Requirements, go to program sub-plan, and scroll down to Learning Technologies. 

Research opportunities

Students can engage in research that ties into their area of interest. Faculty work closely with each cohort to achieve research and educational goals. Learn more about the student research experience in the Department of Curriculum and Instruction. 

Areas of research include: 

• Learning analytics 
• Technology integration in K-12 classrooms 
• Computer science education 
• Educational technology 
• Instructional Design 
• Remote and distance online learning 

Sample plan of study

• Core courses: CI 8131 + CI 8132 (6 cr) 
• Research courses: CI 8134 + CI 8135, OLPD 5056, OLPD 5528, ESPY 8251, ESPY 8252 (18 cr) 
• Major courses: CI 5331, CI 5330, CI 5365, CI 8391, CI 8395 (15 cr) 
• Supporting courses: CI 5472, ESPY 5151, CI 5651, CI 5641 (12 cr) 
• Elective course: CI 8461 (3 cr) 
• Thesis credits: 8888 (24 cr) 

Career outlook

MA graduates engage in advanced media and software design and development, lead K-12 technology integration initiatives, and work as researchers. MA students often apply to PhD programs.

PhD graduates earn academic positions in higher education institutions and become leaders within community organizations, K12 schools, and businesses.

Current students and recent graduates have found employment in the following positions:

Academic Developer in the Teaching and Learning Innovation Center at Goldsmiths College, University of London

Academic Technologist, University of Minnesota 

Assistant Professor of Digital Marketing Technologies, University of Wisconsin-Stout 

Associate Professor + Canada Research Chair in Innovative Learning and Technology, Royal Roads University 

Instructor of Instructional Technology, University of South Florida 

Bruna Damiana Heinsfeld Bruna Damiana Heinsfeld

• Assistant Professor of Learning Technologies
• she/her/hers
• [email protected]

My research is centered on the critical examination of the intersections between technology, society, and education.

Angelica Pazurek Angelica Pazurek

• Teaching Associate Professor
• she, her, hers
• 612-625-0320
• [email protected]

I have a very personal appreciation for the empowering potential of education and am interested in leveraging learning technologies, especially online learning affordances and mobile technologies, to improve access to education and learning…

Cassie Scharber Cassie Scharber

• Associate Professor of Learning Technologies, Director of the L+T Collaborative, Bonnie Westby Huebner Chair in Education and Technology
• 612-625-6607
• [email protected]

I am troubled by the narrow conceptions and practices of literacy and learning that proliferate in schools and current educational inequalities that are rooted in the gendered, racist, and classist histories of U.S. schooling.

George Veletsianos George Veletsianos

• Professor of Learning Technologies, Bonnie Westby Huebner Chair in Education and Technology
• [email protected]

I pursue a socially responsible and critical research agenda focused on responding to complex education problems in online and blended contexts, such as inequitable access, participation divides, and online harassment.

How to apply

Application deadline and instructions.

Priority deadline : December 1 for admission to the fall of the following year Admissions decisions : January

Applications submitted after this date are considered on a case-by-case basis and may not be reviewed until the following year. Faculty review applications in mid-late December, and the Graduate School will notify applicants about admission decisions shortly thereafter. Final admission decisions are based on complete applications. All application materials must be included for the application to be released for review.

Before applying online , go through the application checklist to ensure you have all the required materials. We are here to help! If you have questions, please contact the Graduate Studies Coordinator . If you are a returning Graduate School student, follow the Readmission guidelines . If you are a current Graduate School student and need to change your program, follow the Change of Status guidelines.

Tuition and funding

We have several funding options to support students full-time through program completion. Support is available in the form of:

• Teaching Assistantships. The majority work as student teaching supervisors for MEd initial licensure students. Daytime availability, a teaching license, and teaching experience are required
• Research Assistantships
• Fellowships. Based on a departmental nomination process. You will be notified by the Director of Graduate Studies if you are being considered for a fellowship. Decisions are made by April 15.
• Graduate students are also eligible to apply for fellowships and graduate assistantships through other University departments. Visit the University's employment page or fellowships through the Graduate School's Graduate Fellowship Office .
• Find more detailed federal financial aid and graduate tuition information.
• Financial support through Teaching Assistantships in MELP , the Writing Center , or the undergraduate TESL program.
• Fellowships such as FLAS

Application requirements

What we look for.

Admission to our master's of arts and doctoral programs are competitive and we look for candidates whose goals and interests align with the program’s research and scholarship. Program faculty make admissions decisions based on the candidate’s experience and research competencies, along with compatibility of research goals.

Please look at our current faculty members’ research interests.

Our masters and doctoral candidates display

• Evidence of strong interest in research and in the development of research competencies
• Evidence of substantial experience in the discipline
• Strong writing skills
• Bachelor's degree from an accredited U.S. institution or foreign equivalent

Required application documents

• Unofficial transcripts .Upload your transcripts into the application system. Please include all transcripts from any institution you have attended, even if you did not earn a degree or certificate. Please do not mail your transcripts. Official transcripts are required only after you are admitted. Tips for uploading your transcript(s) .
• CI Application Form . Upload in the graduate program additional materials section.
• Three letters of recommendation . Ask professors, employers, or supervisors to speak to your potential for successfully completing your degree; they will upload their letters directly into the online application.

The GRE is being waived for those applicants applying for Fall 2025.

Required written statements

• Why you want to study in our department
• What strengths, expertise, and research experience would contribute to your success in our program
• Your professional goals for pursuing a research-focused degree
• Diversity statement .Upload to the Applicant Statements section of the online application. Identify the distinctive qualities, characteristics, and life experiences you would contribute to our community. You may wish to include examples that address your contribution to the diversity of the student body and illustrate your motivation to succeed by setting high standards for accomplishing intellectual and other goals, overcoming obstacles to achievement, and/or helping others to gain access to the resources necessary for success. (please do not exceed one page in length)
• Short writing sample .(Optional except for Literacy Education applicants). For example, an excerpt from a term paper or research paper for publication. No longer than five pages in English.
• Common Ground Consortium Fellowship. (Optional) The primary purpose of the CGC is to assist graduate programs in the College of Education and Human Development to recruit exceptional students with the distinct experience provided by HBCUs or similarly distinguishing contexts, provide these students with financial assistance support during their graduate studies, and assistance with career development and job placement afterwards. It offers a pipeline to excellence and an opportunity to diversify perspectives in the academy. If you wish to apply, submit a statement that describes how your participation as a CGC scholar would a) enhance your graduate student experience, b) prepare you for your chosen career, and c) benefit the public. Upload to graduate program additional materials section.

Additional admissions information

Application checklist.

Before applying online , go through the application checklist to ensure you have all the required materials. We are here to help! If you have questions, please contact the Graduate Program Coordinator .

If you are a returning Graduate School student, follow the Readmission guidelines. If you are a current Graduate School student and need to change your program, follow the Change of Status guidelines .

Transfer credits

MA students must complete at least 60 percent of their coursework (not including thesis credits) within our program. PhD students may transfer no more than 15 credits from an outside institution.

A maximum of 12 graduate course credits taken as non-degree seeking or non-admitted status at the University of Minnesota can be transferred; this is counted separately from the maximum 60 percent or 15 non-UMN credits. For example, a PhD student could transfer a maximum of 27 credits (15 non-UMN and 12 non-degree from UMN).

If you earned a MA at the UMN, please contact the Graduate Studies Coordinator to discuss transfer procedures. Thesis credits cannot be transferred.

After you are admitted, you will work with your adviser to determine which credits may transfer.

International applicants

International applicants may also need:

• An English translation of your transcripts, if the transcript is not in English. Please note: the Graduate School Admissions Office will not accept an evaluation of your international coursework by an outside agency such as ECE or WES; they only accept the original transcripts.
• TOEFL/IELTS or MELAB. You may qualify for an exception if you have completed 16 semester or 24 quarter credits within the past 24 months in residence as a full-time student at an accredited institution of higher learning in the United States or other country where English is the official language (i.e. U.K, Canada). Score requirements and submission guidelines

Request information

We’re here to help. Simply complete one of these forms and a member of our department will be in touch

Ph.D. courses and requirements

A combination of required core and elective courses are offered, to balance the needs for requisite knowledge and program flexibility. In total, eight theory/research courses, four methods courses, two additional electives (theory or methods), and two qualifying-related courses constitute the curriculum for all Technology Management Ph.D. students. A sample schedule follows the list of courses.

Ph.D. Requirements

The Ph.D. degree requires students to successfully complete the following courses and examinations:

• Completion of 8 theory courses, two of which may be electives.
• Completion of 4 research methods courses;
• Completion of two additional elective courses (theory or research methods) that offer an opportunity for an integrated course of study proposed by the student, with the advice and consent of the advisor, and approved by the Graduate Advisor;
• Satisfactory completion of a qualifying examination and qualifying paper;
• Satisfactory completion of a Ph.D. Dissertation that demonstrates the candidate’s ability to contribute significantly and independently to the field of technology management.

Students will typically complete all core and elective courses in years 1 and 2 of the program, culminating in a qualifying examination and qualifying paper. After coursework and examinations are complete, students will begin working on their Dissertation Proposal (typically in year 3) and start executing the dissertation research. Students will typically defend their final Dissertation in year 4 or 5 of the program.

• Core & Elective Theory Courses (32 units)
• Method Courses (16 units)
• Additional Elective Courses (8 units)
• Sample Program

TMP 271 Organizational Behavior (4 units)

This course is designed to provide foundational knowledge in Organizational Behavior, including classic and contemporary theories, ongoing controversies, and ground-breaking empirical studies. In a single quarter it is impossible to complete an exhaustive tour of the field, so we will explore select research domains that will give you a sufficient lay of the land. Topics related to individual, team, and organizational processes will be covered, including perception and personality, motivation, stress, power and influence, conflict, negotiation, decision-making, organization culture, organization structure and design, and organizational change. Students will leave this course with a broad familiarity with theory and research concerned with micro-organizational processes, the analytical skills necessary to critically evaluate and integrate work in this area, and the insights that contribute to the current dialogue in the field.

TMP 272 Organizational Theory (4 units)

This course is designed to give students exposure to various theories of organizing. The course begins by exploring the foundations of organization theory, including Taylorism, Industrial Relations, the Chicago School, and the Carnegie School. Next, the course explores important elaborations of organizational theory including Transaction Cost Economics, Resource Dependence (and structural contingency theory), Institutional Theory, and Population Ecology. Finally, the course explores recent directions in organization theory including Network Forms of Organizing, Process-Based Theories of Organizing, and Work-Based Theories of Organizing. Students will leave this course understanding the antecedents and consequences of organizational form.

TMP 273 Technology Strategy (4 units)

This course is designed to expose students to a broad foundation in technology management strategy research. The course will offer an introduction to the range of research on strategic management, from the theoretical to the empirical, and from the classic to the current. At the heart of the course will be our ability to understand and explain technology strategies, and how and why these differ across organizations and across industries. The course begins with an introduction to the core concepts of strategy and the various factors that may influence firm performance. Then we will cover a number of topics that are central to research in technology management strategy. Each session is meant to introduce you to some classic and current theory on the topic, to link theory to the process of innovation and to point out some additional research that would be valuable to students with a greater interest in the topic. Finally, we will end each session with a discussion of the opportunities for further research in current and evolving domains. These topics include: strategy and the locus of performance, the industrial-organizational economics origins of strategy, transaction cost economics, the resource-based view (RBV), the knowledge-based view, competence and capabilities based theory and how these theories help us understand innovation, technology evolution, industry evolution and technical change.

TMP 274 Networks and Innovation (4 units)

This course explores how organizing processes enable and constrain the development and use of technological innovations. The course focuses on the role of networks in developing ideas for new technologies and the use of networks to diffuse technologies within organizations. The course covers such theoretical perspectives as structuration theory, practice theory, network emergence theory, and diffusion theory. Students will leave this course understanding how networks within organizations affect the paths of technology development and use.

TMP 275 Technology and Organizational Change (4 units)

This course is designed to introduce students to fundamental questions and approaches to the study of technology and organizations.  Specifically, we will explore how organizational structures enable and constrain the development of new technologies, and how new technologies enable changes in the process of organizing. The purpose of the course is to provide students with a thorough grounding in various theoretical perspectives on technology development and use.  Students will leave this course understanding how social and political dynamics underlie all technological development and shape the innovation process.

TMP 276 Team Processes and Performance (4 units)

This course focuses on contemporary theories and empirical research on groups and teams in organizational contexts. The course examines a representative set of theoretical and empirical papers on group “inputs” (composition, diversity, structure), processes (coordination, decision-making, influence, intragroup conflict), emergent properties (e.g., shared mental models, transactive memory systems, cross-understanding), outcomes (performance, learning, creativity), and the contextual factors that hamper or encourage group adaptation and effectiveness. Students will explore and critique frameworks, theories, methodologies, and conclusions from prior research, and develop their own perspectives on the topics. Students will leave this course with an understanding of the advantages and disadvantages of team-based organizing and management.

TMP 292 Managerial and Organizational Cognition (4 units) – SAMPLE ELECTIVE

This course is designed to introduce students to the processes by which organizations make decisions. The course focuses on how different micro-level processes (e.g., human biases, motivations) affect macro-level outcomes that are relevant to the strategy and organizations literatures (e.g., performance, innovation, adaptability). The course builds on the seminal ideas of the Carnegie tradition, with an emphasis on bounded rationality, exploration/exploitation, organization design, organizational learning, absorptive capacity, and routines. Recent developments in behavioral economics and mathematical approaches to studying organizational decision-making will also be examined. Students will leave this course with foundational knowledge about the factors that influence the quality of decisions and decision-making in organizations.

TMP 293 Discourse and Institutions (4 units) – SAMPLE ELECTIVE

This course is designed to give students an understanding of how systems of meaning such as — cultural frames, discourse systems, categorical logics, rhetorical forms, conventions of understanding, subjective field mappings, collective ontologies or institutional logics operate so as to define the nature of markets, technologies, organizations, and organizational environments.  The course will review the history of how these kinds of meaning structures have been theorized and studied by organizational scientists over the last century.  The course will review contemporary research traditions in the field and also examine how new programs grounded in modern text mining technologies are emerging in research areas such as information science, computational hermeneutics and the digital humanities. 

*** Additional theory elective courses may be offered as needed.

Basic Statistics (4 Units)

Taken in another department

TMP 283 Organizational Ethnography (4 Units) – SAMPLE ELECTIVE

This course is designed as an intense practicum in participant observation in an ethnographic tradition.  Although reading methods texts and research reports written by fieldworkers is crucial for learning to do ethnography, it is not sufficient.  Just as one cannot understand the intricacies of survey, archival, or experimental research without doing a study, so one cannot fully understand ethnography unless one actually works in the field.  Accordingly, the course has six substantive objectives: (1) To provide experience in doing participant observation and ethnographic interviewing, (2) To develop skills at recording, coding, and analyzing observational data, (3) To develop skills at eliciting, recording, coding and analyzing data through ethnographic interviews, (4) To learn to build grounded theory using the constant comparative method, (5) To learn how to evaluate and write ethnography. (6) To provide an opportunity to do a potentially significant piece of social research. In addition to these substantive objectives, the course is designed to achieve a seventh objective:  To provide a supportive climate for learning ethnography.

TMP 282 Network Analysis (4 Units) – SAMPLE ELECTIVE

This course is designed to review theoretical, conceptual, and analytic issues associated with network perspectives on communicating and organizing. The course will review scholarship on the science of networks across a wide array of disciplines for an in-depth look at theories, methods, and tools that can be used to examine the structure and dynamics of networks. The majority of class time will be spent discussing the assigned readings. A series of laboratory exercises will provide experience with computer-based network analysis, modeling and visualization.

Elective Courses

Two additional elective courses are required for the Ph.D. degree. These can be either Theory or Methods courses. These may be offered by TMP faculty or by faculty in other departments.

Sample Program of Study for Ph.D. Students in Technology Management

Fall Quarter

Course 1: Organizational Behavior

Course 2: Technology Management Strategy

Course 3: Basic Statistics

Winter Quarter

Course 1: Networks and Innovation

Course 2: Team Processes and Performance

Course 3: ELECTIVE (Sample) Computational Methods and Modeling

Spring Quarter

Course 1: Organizational Theory

Course 2: ELECTIVE (Sample) Discourse and Institutions 

Course 3: ELECTIVE (Sample) Advanced Statistics

Course 1: Technology and Organizational Change

Course 2: ELECTIVE (Sample) Managerial and Organizational Cognition

Research and Preparation related to Qualifying Paper and Exam

Course 1: ELECTIVE (Sample) Organizational Ethnography

Course 2: ELECTIVE (Sample) Social Movements

Course 1: ELECTIVE (Sample) Network Methods.

Qualifying Paper

Qualifying Exam

Ph.D. Dissertation Research and Preparation

Ph.D. Proposal Defense

Dissertation Completion and Defense

Applying to Ph.D. in Technology Management

If you have any questions about the program, contact an admissions advisor at  Click here to show mail address . 

Assemble all documents and other materials prior to beginning your application. Be sure to carefully read the instructions listed on the main Ph.D. program page to ensure that you correctly complete each section of the application properly. We recommend that you keep personal copies of all application materials. A full explanation of the graduate application can be found on the Graduate Division website. Information about cost and financial support can be found here . 

Apply through UCSB Graduate Division.

To be considered for admission, you must have received a bachelor's degree or its equivalent from an accredited university prior to the quarter for which you seek admission, and have at least a B average (3.0 GPA) in your undergraduate coursework. Satisfaction of minimal standards does not, however, guarantee admission.

In order to be considered for admission, all applicants must have a valid GRE or GMAT score.

An excellent command of written and spoken English is required prior to enrollment at UCSB.

Applicants whose native language is not English are required to take the TOEFL or the IELTS . The following exams are accepted for meeting TOEFL/IELTS admissions requirements: TOEFL iBT, TOEFL PBT, TOEFL iBT Home Edition, TOEFL iBT Paper Edition; IELTS (Academic), and IELTS Indicator. The following exams are not accepted: TOEFL ITP Plus, TOEFL Essentials, Duolingo, and other exams not specifically noted above.

The university minimum TOEFL score requirement is 550 when taking the paper-based test (PBT) and 80 when taking the internet-based test (IBT). The university minimum IELTS score for consideration is an Overall Band Score of 7. Official test score dates must be within two years from the day the applicant submits the online graduate application.

Exemptions will be considered for students who have completed an undergraduate or graduate degree at an institution whose verified sole official language of instruction is English. Applicants must upload unofficial transcripts indicating (1) completion of the degree program and (2) English as the official language of instruction.

Three letters of recommendation are required as part of your application. At least one letter must be from an academic reference. Employer letters of recommendation are accepted.

Please make sure that your recommenders upload their recommendation letter prior to the deadline for which you are applying. If possible, recommenders should submit their letters on official letterhead and sign them with contact information listed.

The Statement of Purpose and the Personal History & Diversity Statement are separate documents and cannot contain the same content. They provide an opportunity for you to let us know why you are interested in the Ph.D. program, what your goals are, and what drives you in your personal and professional life.

Your Statement of Purpose is a brief statement outlining your reasons for undertaking a graduate program, your particular area of specialization in which you majored as an undergraduate or master's student, your past academic work, and your plans for future occupation or profession. Also, include any additional information that may assist the selection committee in evaluating your preparation and aptitude for graduate study at UC Santa Barbara. In your Statement of Purpose, please clearly emphasize your research interests, experience, and goals.

In your Personal History & Diversity Statement, please describe any aspects of your personal background, accomplishments, or achievements that you believe are important in evaluating your admission to the program. Explain how your life, academics, and work experiences have led you to want to join the Ph.D. in Technology Management graduate program, as well as the UCSB community at large. 

The statements are very important to the Admissions Committee for their holistic review. It is also an opportunity for you to stand out from the other applicants or clarify weaknesses in your application (e.g., low GPA, limited work experience).

Statement of Purpose: 2-3 pages but preferably 2, double-spaced, 12-pt. Font 

Personal History and Diversity Statement: 2-3 pages but preferably 2, double-spaced, 12-pt. Font

The UCSB Graduate Division’s “How to Apply” webpage includes directions, FAQs, and the online graduate application link. You can also find the Technology Management/Ph.D. graduate program link on the Graduate Division website .

I can’t find the answer to my question; who can I contact?

You may email questions to the Ph.D. program staff, or if you would like to meet with one of the Student Affairs Managers via Zoom or in person, please email Click here to show mail address and request an appointment. 

You may email questions to the Ph.D. program staff, or if you would like to meet with one of the Student Affairs Managers via Zoom or in person, please email Click here to show mail address and request an appointment.

Technology Management is committed to fully funding our Ph.D. students. Funding is provided as a blend of fellowships and employment.  

For information about fellowships at the University of California, Santa Barbara, please see the website Central Campus Fellowships or Other Campus Fellowships . Additionally, you can find financial resources on the website of our Office of Financial Aid and Scholarships.

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Technology Management Phelps Hall University of California Santa Barbara, Santa Barbara CA 93106-5129

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Program overview.

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Rigorous, discipline-based research is the hallmark of the MIT Sloan PhD Program. The program is committed to educating scholars who will lead in their fields of research—those with outstanding intellectual skills who will carry forward productive research on the complex organizational, financial, and technological issues that characterize an increasingly competitive and challenging business world.

Start here.

Learn more about the program, how to apply, and find answers to common questions.

Admissions Events

Check out our event schedule, and learn when you can chat with us in person or online.

Start Your Application

Visit this section to find important admissions deadlines, along with a link to our application.

Click here for answers to many of the most frequently asked questions.

PhD studies at MIT Sloan are intense and individual in nature, demanding a great deal of time, initiative, and discipline from every candidate. But the rewards of such rigor are tremendous:  MIT Sloan PhD graduates go on to teach and conduct research at the world's most prestigious universities.

PhD Program curriculum at MIT Sloan is organized under the following three academic areas: Behavior & Policy Sciences; Economics, Finance & Accounting; and Management Science. Our nine research groups correspond with one of the academic areas, as noted below.

MIT Sloan PhD Research Groups

Behavioral & policy sciences.

Economic Sociology

Institute for Work & Employment Research

Organization Studies

Technological Innovation, Entrepreneurship & Strategic Management

Economics, Finance & Accounting

Accounting  

Management Science

Information Technology

System Dynamics  

Those interested in a PhD in Operations Research should visit the Operations Research Center .  

PhD Program Structure

Additional information including coursework and thesis requirements.

MIT Sloan Predoctoral Opportunities

MIT Sloan is eager to provide a diverse group of talented students with early-career exposure to research techniques as well as support in considering research career paths.

Rising Scholars Conference

The fourth annual Rising Scholars Conference on October 25 and 26 gathers diverse PhD students from across the country to present their research.

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The goal of the MIT Sloan PhD Program's admissions process is to select a small number of people who are most likely to successfully complete our rigorous and demanding program and then thrive in academic research careers. The admission selection process is highly competitive; we aim for a class size of nineteen students, admitted from a pool of hundreds of applicants.

What We Seek

• Outstanding intellectual ability
• Excellent academic records
• Previous work in disciplines related to the intended area of concentration
• Strong commitment to a career in research

MIT Sloan PhD Program Admissions Requirements Common Questions

Dates and Deadlines

Admissions for 2024 is closed. The next opportunity to apply will be for 2025 admission. The 2025 application will open in September 2024. 

More information on program requirements and application components

Students in good academic standing in our program receive a funding package that includes tuition, medical insurance, and a fellowship stipend and/or TA/RA salary. We also provide a new laptop computer and a conference travel/research budget.

Funding Information

Throughout the year, we organize events that give you a chance to learn more about the program and determine if a PhD in Management is right for you.

PhD Program Events

Docnet recruiting forum at university of minnesota.

We will be joining the DocNet consortium for an overview of business academia and a recruitment fair at University of Minnesota, Carlson School of Management.

September 25 PhD Program Overview

During this webinar, you will hear from the PhD Program team and have the chance to ask questions about the application and admissions process.

DocNet Recruiting Forum - David Eccles School of Business

MIT Sloan PhD Program will be joining the DocNet consortium for an overview of business academia and a recruitment fair at Utah, David Eccles School of Business.

October PhD Program Overview

Complete PhD Admissions Event Calendar

Unlike formulaic approaches to training scholars, the PhD Program at MIT Sloan allows students to choose their own adventure and develop a unique scholarly identity. This can be daunting, but students are given a wide range of support along the way - most notably having access to world class faculty and coursework both at MIT and in the broader academic community around Boston.

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Profiles of our current students

MIT Sloan produces top-notch PhDs in management. Immersed in MIT Sloan's distinctive culture, upcoming graduates are poised to innovate in management research and education.

Academic Job Market

Doctoral candidates on the current academic market

Academic Placements

Graduates of the MIT Sloan PhD Program are researching and teaching at top schools around the world.

view recent placements 

MIT Sloan Experience

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The PhD Program is integral to the research of MIT Sloan's world-class faculty. With a reputation as risk-takers who are unafraid to embrace the unconventional, they are engaged in exciting disciplinary and interdisciplinary research that often includes PhD students as key team members.

Research centers across MIT Sloan and MIT provide a rich setting for collaboration and exploration. In addition to exposure to the faculty, PhD students also learn from one another in a creative, supportive research community.

Throughout MIT Sloan's history, our professors have devised theories and fields of study that have had a profound impact on management theory and practice.

From Douglas McGregor's Theory X/Theory Y distinction to Nobel-recognized breakthroughs in finance by Franco Modigliani and in option pricing by Robert Merton and Myron Scholes, MIT Sloan's faculty have been unmatched innovators.

This legacy of innovative thinking and dedication to research impacts every faculty member and filters down to the students who work beside them.

Faculty Links

• Accounting Faculty
• Economic Sociology Faculty
• Finance Faculty
• Information Technology Faculty
• Institute for Work and Employment Research (IWER) Faculty
• Marketing Faculty
• Organization Studies Faculty
• System Dynamics Faculty
• Technological Innovation, Entrepreneurship, and Strategic Management (TIES) Faculty

Student Research

“MIT Sloan PhD training is a transformative experience. The heart of the process is the student’s transition from being a consumer of knowledge to being a producer of knowledge. This involves learning to ask precise, tractable questions and addressing them with creativity and rigor. Hard work is required, but the reward is the incomparable exhilaration one feels from having solved a puzzle that had bedeviled the sharpest minds in the world!” -Ezra Zuckerman Sivan Alvin J. Siteman (1948) Professor of Entrepreneurship

Sample Dissertation Abstracts - These sample Dissertation Abstracts provide examples of the work that our students have chosen to study while in the MIT Sloan PhD Program.

We believe that our doctoral program is the heart of MIT Sloan's research community and that it develops some of the best management researchers in the world. At our annual Doctoral Research Forum, we celebrate the great research that our doctoral students do, and the research community that supports that development process.

The videos of their presentations below showcase the work of our students and will give you insight into the topics they choose to research in the program.

Attention To Retention: The Informativeness of Insiders’ Decision to Retain Shares

2024 PhD Doctoral Research Forum Winner - Gabriel Voelcker

Watch more MIT Sloan PhD Program  Doctoral Forum Videos

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Technology & Operations Management

• Program Requirements

Technology & Operations Management

Curriculum & coursework.

Our programs are full-time degree programs which officially begin in August. Students are expected to complete their program in five years. Students typically spend their first two years on course work, at the end of which they take a field exam, and then another three years on dissertation research and writing.

The program requires a minimum of 13 semester long doctoral courses. Students in the Technology & Operations Management program complete courses in the areas of business management theory, economic theory, quantitative research methods, academic field seminars, and two MBA elective curriculum courses. In addition to HBS courses, students may take courses at other Harvard Schools and MIT.

Research & Dissertation

Students in TOM often begin research in the summer preceding their first year by working with a TOM faculty member. Over the first two years in the program, students are encouraged to explore their research interests as they complete relevant coursework. During their third year, students begin working on their dissertation research, typically developing three publishable papers by the end of the program.

Examples of doctoral thesis topics include: Examining how employee non-compete agreements affect entrepreneurship and job mobility; Improving retailers' sales forecasting using cost-of-sales, inventory levels, and gross margins; How familiarity among team members fosters organizational capabilities among teams; The implications of operations management for investors; and How firms influence service quality, and how service quality affects performance.

Omar Olivarez

Kala Viswanathan

Michelle Shell

“ My professors are incredibly generous with their time, and the other members of my cohort are consistently engaged and curious. ”

Current HBS Faculty

• Eva Ascarza
• Iavor I. Bojinov
• Ryan W. Buell
• Prithwiraj Choudhury
• Thomas R. Eisenmann
• Chiara Farronato
• Alexandra C. Feldberg
• Kris Johnson Ferreira
• Frances X. Frei
• Shane M. Greenstein
• Janice H. Hammond
• Robert S. Huckman
• Marco Iansiti
• Ayelet Israeli
• Ebehi Iyoha
• Christian Kaps
• Karim R. Lakhani
• Himabindu Lakkaraju
• Jacqueline Ng Lane
• Michael Lingzhi Li
• Alan D. MacCormack
• Edward McFowland III
• Antonio Moreno
• Kyle R. Myers
• Frank Nagle
• Elisabeth C. Paulson
• Gary P. Pisano
• Ananth Raman
• Maria P. Roche
• Willy C. Shih
• Stefan H. Thomke
• Michael W. Toffel
• Sara McKinley Torti
• Isamar Troncoso
• Jeremy Yang
• David B. Yoffie
• Shunyuan Zhang

Current Technology & Operations Management Students

• Justine Boudou
• Bonnie Cao
• Matthew DosSantos DiSorbo
• Natalie Epstein
• Jeffrey Fossett
• Paul Hamilton
• Shirley Huang
• 'Leke Jegede
• Michael Joyce
• Omar Olivarez
• Srimayi Tenali
• Paige Tsai
• Jenny Wang
• Lorry Wu
• Miaomiao Zhang

Current HBS Faculty & Students by Interest

Recent placement, maya balakrishnan, 2024, ryan allen, 2023, raha imanirad, 2020, caleb kwon, 2024, tommy pan fang, 2022, michelle shell, 2020, daniel yue, 2024, grace gu, 2020, ohchan kwon, 2019.

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WEATHER ALERT: Due to inclement weather, the UB campus, clinics, and Waterbury Center will be CLOSED on Friday, February 25. Online classes and meetings will continue as scheduled. Faculty and staff will be available remotely.

Technology Management Ph.D.

The Ph.D. in Technology Management (TM) is designed to meet growing industry and academic needs by offering a quality doctoral program to both part-time and full-time students in two inter-related areas:

• New technology venture creation (e.g. entrepreneurship and corporate venturing), and
• Select current and emerging technologies (technology concentrations).

The program will encompass an integrated multi-disciplinary technology and management approach. The PhD-TM program is specifically designed to develop interdisciplinary skills and competencies in research and management of technology-dependent enterprises, technology-based entrepreneurship and new product, service and venture creation.

While the PhD-TM is housed in the Department of Technology Management, the Ph.D. degree facilitates and encourages interdisciplinary studies across the School of Engineering and other schools and utilizes their complementary research facilities, faculty and lab resources.

The Ph.D. degree is a certification of critical aptitude in scholarship, creativity, knowledge in the discipline, enterprise in research, and proficiency and style in communication.

A candidate obtaining a Ph.D. degree must display a thorough understanding in the major areas of Technology Management and must master the necessary tools and techniques so as to be able to make original contributions to the field of Technology Management. An equally important aspect is that of proficiency in oral and written communication skills.

The requirements of the Ph.D. program are: successful completion of preliminary examinations and courses, satisfactory performance in the written comprehensive and oral (proposal defense) examinations, admission to Ph.D. candidacy, successful completion and defense of original work documented as a dissertation, and the satisfaction of additional requirements such as teaching courses, seminars and publications.

The formal degree to be offered is the Doctor of Philosophy in Technology Management. This will be awarded to candidates who complete all the requirements of the Ph.D. degree.

Time and load guidelines

Course work and credit hours, course grade point average.

A Ph.D. student is expected to maintain a minimum grade point average (GPA) of 3.0. If the GPA falls below the required 3.0, the student is automatically placed on probation. (note: grades for transferred courses are not included in the calculation of the University of Bridgeport GPA.). Continued probationary status for two semesters will lead to dismissal of the student from the program. No grade less than “C” is acceptable towards the course work requirement.

* Students admitted to the Ph.D. program should have a business or management degree as well as an engineering, computer science or technology degree. To be more specific, a student should have either: (1) An undergraduate Engineering or Technology (STEM = Science, Technology, Engineering and Mathematics category) degree and an MBA or MS in Technology Management or Engineering Management or Management of Technology (MOT) or equivalent graduate degree; or (2) an undergraduate Business or Management or TM or MOT or equivalent degree and a master’s degree in Engineering, Technology or STEM.

** Area 1 - New Technology Venture Creation and Area 2 - Select Current & Emerging Technologies (see Ph.D. Program Structure for additional requirements and areas)

Admission to candidacy

Ph.d. dissertation.

The student is expected to work on the approved topic and produce original results. S/he must report the results in the form of the Ph.D. dissertation. The student is encouraged to document the intermediate results in the form of technical reports. S/he is also encouraged to publish these results as they are discovered, in international professional literature, i.e., refereed conference proceedings and journals. Proof of good work is the acceptance of the results by reputed journals. Intermediate results can also be discussed in departmental seminars. The completed dissertation must be distributed to the dissertation committee members at least two weeks prior to the dissertation defense. The committee will read and certify that the dissertation is a work of substantial merit and that it can be defended.

It is the responsibility of the student that the final draft of the dissertation addresses all legitimate concerns of the committee members.

Dissertation Committee and oral defense of proposed dissertation topic

After successfully passing the required candidacy examinations and selecting a dissertation adviser, the student is required to define a problem of intellectual merit, carry out a literature search and prepare a course of action to solve the selected problem.

The candidate is expected to produce a dissertation proposal. The Ph.D. program director, in consultation with the dissertation adviser and the student, recommends a dissertation committee for the student.

• The supervising professor and at least two members of the dissertation committee must be from a professorial rank within the Department of Technology Management. At least half the members of the dissertation committee must be from a professorial rank within the School of Engineering.
• Dissertation committees consist of a minimum of five faculty members including the external examiner.
• The external examiner is a member who has been distinguished in the field of technology management and engineering.

Ph.D. program director sends copies of the completed signed form to: student, student’s file, supervising professor, Ph.D. in Technology Management program director and the Dean of the School of Engineering.

The Ph.D. in Technology Management program director and the Dean of the School of Engineering must both approve the dissertation committee.

Dissertation defense examination

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Doctoral Programs

Doctor of philosophy in learning technologies, program information.

The doctorate in Learning Technologies focuses on defining, understanding, and expanding the synergy of technology and learning/instructional systems theory. The core of the Ph.D. program is the application of technologies within the learning process. The program also focuses on academic research and writing, which has resulted in a majority of graduating doctoral students holding positions at universities.

This program includes formal course work, a portfolio-based qualifying examination, independent study and research including, but not limited to, a supervised study and dissertation. The student will spend significant time conducting independent research and working collaboratively with the faculty related to complete the dissertation and other projects. The doctoral degree will require at least 60 semester credit hours beyond the master's degree. 

By the end of the program, successful doctoral candidates demonstrate proficiency in skills and knowledge that allows the individual to become a contributing scholar and practitioner in the instructional, educational, and learning technology fields- either in educational or corporate settings. Graduates of the PhD program work as faculty, instructors, teachers, instructional designers, directors of distance education, technology coordinators, and trainers, among other relevant professional occupancies. 

For additional program information, please visit the  Learning Technologies PhD  page in UNT Graduate Catalog.

Objectives &  Marketable Skills

Synthesize Knowledge: The graduate will read and synthesize the literature related to their specific discipline, describe fundamental theories of human learning and the role of technology, and apply knowledge of human learning and technology to the solution of practical problems in their discipline.

Create Knowledge: The graduate will describe common research methods in their discipline, read and evaluate educational research, and apply research findings to the solution of practical problems in their discipline.

Communicate Knowledge: The graduate will communicate effectively in oral and written formats including the ability to communicate content from their discipline through the design and delivery of effective teaching/learning activities that integrate content and pedagogy, adapt instruction and support services to the needs of diverse learners, and assess appropriately learning outcomes.

Think Critically and Reflectively: The graduate will develop a personal vision of inclusive educational practice, identify the relationship of their discipline to the broader field of education, and critically evaluate theory and practice.

Engage in Professional Development: The graduate will demonstrate the disposition for life-long learning and continuous professional development.

Participate Actively in Their Profession: The graduate will identify communities of practice within their discipline and participate within these communities.

The Ph.D. in Learning Technologies is available in two formats:

• Residential (On-Campus)  format is for students who can attend classes in-person at the UNT Denton campus
• Distributed (Online)  distance-delivered format is for students who cannot attend the UNT campus

The distance delivered Ph.D. in Learning Technologies is a blended offering with students taking online courses throughout the year and attending a yearly face-to-face meeting during the fall. This program is available to students living outside the North Texas area or those students unable to attend the residency offerings. Students within driving distance of UNT should investigate the residency program.

  Both  options require attendance at a once-per-year  on-site meeting  to meet state residency requirements. The  Annual Doctoral Meeting   is typically a 4-day event during the fall semester at the UNT Denton campus. The full Texas Administrative Code state and aligned department policy regarding the residency meeting is located in Appendix C of the  Learning Technologies PhD Handbook .

Cohorts for both distributed and residential formats begin in the fall. Click here to view- Fall Cohort

View courses offered for the Doctoral Program at the Office of the Registrar's  Current Schedule of Classes .

Admission Process

Click on the How to Apply page  to learn more about about the admissions process and application requirements. 

Important Deadlines

Fall 2025 Priority Deadline: December 31, 2024

New cohorts for both program formats start every fall semester.  Your application materials must  be received by the deadline above to be considered complete. Space is limited, so you are encouraged to apply early.  

International Students

• Applicants who do not hold either U.S. citizenship or U.S. permanent resident alien status should apply to the  International Admissions Office
• An international applicant's bachelor's degree and master's degree should be equivalent to a U.S. four-year bachelor's and two-year master's degree, respectively
• All documents should be submitted at least six months before enrollment date

Registration

Information about semester registration can be found at   Registrar.unt.edu/Registration . To register for dissertation hours or for courses with special permissions, complete the   LT PhD Request form .

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• Learning Design and Technology

Doctor of Philosophy (PhD)

Advance Your Career

Graduate programs in Learning Design and Technology at Purdue University prepare students to design effective learning experiences and environments that incorporate technology with a special emphasis on inquiry-based, authentic practices in face-to-face and distributed learning settings.

The PhD program in Learning Design & Technology program is a residential program offered on the Purdue West Lafayette campus.

Applications must be fully complete and submitted (including all required materials) and all application fees paid prior to the deadline in order for applications to be considered and reviewed. For a list of all required materials for this program application, please see the “ Admissions ” tab.

Application Deadlines

September 15 is the deadline for Spring applications.

December 1 * is the deadline for Fall and Summer applications.

*Those applicants interested in being considered for any available PhD funding should submit completed applications by December 1 for the following Fall semester.

Program at a Glance

• Major/Department: Curriculum and Instruction
• Research Area: Learning Design and Technology
• Degree Objective: Doctor of Philosophy (PhD)
• Program Delivery: Residential
• Does this program lead to licensure? * No , this is a non-licensure program

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Prerequisites

• Introduction to Learning Design and Technology (e.g., EDCI 51300-Foundations of Ed Tech)
• Introduction to e-Learning (e.g., EDCI 56900)
• Learning Systems Design (e.g., EDCI 57200 or equivalent)
• Learning Theories and Instructional Design (e.g., EDCI 53100 or equivalent)
• Introduction to Educational Research (e.g., EDPS 53300 or equivalent)
• Graduate competencies (if any) in addition to those addressed above

It is expected that students will enter the Ph.D. program having satisfied these basic requirements in advance. If they have not, students will complete these courses at the beginning of the program in addition to other requirements. No more than 9 of these credits total may be applied toward the 90 credits required for the Ph.D. program.

C&I Department Seminar Requirements for PhD Students

2 credit hours

• EDCI 62800, Curriculum and Instruction Seminar (1 cr)
• EDCI 63800, Curriculum and Instruction Seminar (1 cr)

Core Ph.D. Learning Design and Technology Requirements

21 credit hours

• EDCI 66000, Learning Design and Technology Seminar (1 cr)
• EDCI 67600, Unpacking Research: Writing Literature Reviews In Learning Design And Technology (2 cr)*
• EDCI 67700, Unpacking Research: Writing Research Proposals In Learning Design And Technology (2 cr)*
• EDCI 59100, Unpacking Research: Data Collection and Analysis (2 cr), taken individually with advisor*
• EDCI 67800, Unpacking Research: Writing For Scholarly Publications In Learning Design And Technology (2 cr)*
• EDCI 67200, Advanced Instructional Development and Systems Technology (3 cr)
• EDCI 67300, Issues and Methods in Learning Systems Design Research (3 cr)
• EDCI 67400, Advanced Instructional Design Theory (3 cr)
• EDCI 69500, Internship in Learning Design and Technology (3+ cr)

*It is expected that students will take these courses in the designated order as each course builds off the previous course, resulting in a completed research study and write-up.

Electives in Learning Design and Technology

12-15 credit hours

Students will construct a cohesive program of electives in LDT and related areas of interest. Sample electives include the following. Please note that LDT faculty frequently offer special topic classes (generally listed as EDCI 627 or EDCI 591) which may be taken as Electives in Learning Design and Technology.

Educational Foundations

• EDPS 53000, Advanced Educational Psychology
• EDCI 58500, Multicultural Education
• EDPS 53100, Introduction to Measurement and Instrument Design
• EDCI 56000, Educational Technology for Teaching and Learning
• EDCI 55600, Educational Game Design
• EDCI 67500, Instructional Strategies
• EDCI 62700, Current Topics in Learning Design and Technology

Development

• EDCI 56400, Integration and Management of Technology for Learning
• EDCI 56600, Educational Applications of Multimedia
• EDCI 57500, Blended and Online Learning
• EDCI 58800, Motivation and Instructional Design
• EDCI 66300, Interactive Multimedia
• EDCI 66400, Learning Environment Design

Workplace Learning

• EDCI 52800, Human Performance Technology
• EDCI 57700, Strategic Assessment and Evaluation
• EDCI 63300, Instructional Design Project Management

Outside Electives

6 credit hours

Students will take at least two related graduate-level courses in consultation with advisor in an outside area such as Adult Education, Educational Psychology, Management, Psychology, Educational Administration, Technology, Technical Writing, Computer Science, or another field of interest.

Educational Research

12 credit hours

Students are encouraged to complete an introductory research course (e.g., EDPS 53300) as part of their prerequisite requirements, as well as a sequence of research methods courses. Students should work with their advisors to find the appropriate sequence of courses that include quantitative and qualitative research methodology courses. Following are example courses.

• Introductory Statistics (e.g., EDPS 55600, STAT 50100, SOC 58000, SOC 58100, SOC 58300, PSY 5000, PSY 60000, PSY 68000, COM 58200)
• Qualitative Research (e.g., EDCI 61500, SOC 68600, ANTH 60500, TECH 69700, COM 58500)
• Advanced Statistics or Qualitative Research (e.g., EDPS 55700, EDCI 61600, EDCI 684, STAT 50200, STAT 51200, PSY 60000, PSY 60100, PSY 60500, PSY 61000, SOC 68000, HDFS 62700)
• EDPS 63000, Research Procedures in Education (REQUIRED)

*Some research courses may require prerequisite coursework or experience

Dissertation Research

In addition to a submitted application (and any applicable application fees paid), the following materials are required for admission consideration, and all completed materials must be submitted by the application deadline in order for an application to be considered complete and forwarded on to faculty and the Purdue Graduate School for review.

A completed master’s degree is required prior to admission.

Application Requirements

Here are the materials required for this application

• Transcripts (from all universities attended)
• Minimum undergraduate GPA of 3.0 on a 4.0 scale
• 3 Recommendations
• Academic Statement of Purpose
• Personal History Statement
• International Applicants must meet English Proficiency Requirements set by the Purdue Graduate School

We encourage prospective students to submit an application early, even if not all required materials are uploaded. Applications are not forwarded on for faculty review until all required materials are uploaded.

How to Apply

When submitting your application for this program, please select the following options:

• Select a Campus: Purdue West Lafayette (PWL)
• Select your proposed graduate major: Curriculum and Instruction
• Please select an Area of Interest: Learning Design and Technology
• Please select a Degree Objective: Doctor of Philosophy (PhD)
• Primary Course Delivery: Residential

This program does not lead to licensure in the state of Indiana or elsewhere. Contact the College of Education Office of Teacher Education and Licensure (OTEL) at [email protected] before continuing with program application if you have questions regarding licensure or contact your state Department of Education about how this program may translate to licensure in your state of residence.

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Online Ph.D. in Information Technology

Applying IT research to real-world situations and expanding the IT field’s existing body of knowledge.

Programs & Requirements

Mission & goals.

• Career Outcomes
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As technology advances at a rapid pace, you need to stay ahead of the curve.

As an experienced IT professional, you have a wealth of knowledge and skills under your belt. But the field of IT never stands still; as it evolves, you need to evolve with it. A PhD in information technology could be what you need to ensure that you stay ahead.

More than a pathway to earning the highest credential in your field, a doctorate program offers the chance to take a deep dive into the IT industry’s challenges and opportunities. That could mean gaining deep knowledge of how machine learning solves business problems, using analytics to plan for growing IT needs, responding to evolving cyber security threats, and much more. Pursuing your PhD in information technology offers the license to follow your scholarly interests and make discoveries that could potentially change the industry — and the world.

By the Numbers

Online doctorate in information technology.

The PhD in information technology online degree program from University of the Cumberlands is designed to help you take your IT career to new heights. The program is comprised of 60 required credit hours, which include professional research courses, content specialty courses, and a dissertation.

Our fully online curriculum focuses on predictive analytics, enhancing your credentials and giving you the tools you need to be your company’s IT expert in cybercrime security, big data, and smart technology. You’ll explore information governance, technology for a global economy, enterprise risk management, data science, big data, and more. You’ll also gain a comprehensive understanding of emerging threats to IT infrastructure and systems, plus identify countermeasures to keep cyberattacks at bay. 

Course Requirements

• ITS 831 - Information Technology Importance in Strategic Planning  
• ITS 832 - Information Technology in a Global Economy  
• ITS 833 - Information Governance  
• ITS 834 - Emerging Threats and Countermeasures  
• ITS 835 - Enterprise Risk Management  
• ITS 836 - Data Science and Big Data Analytics  
• DSRT 734 - Inferential Statistics in Decision-making  
• DSRT 736 - Dissertation Seminar  
• DSRT 837 - Professional Writing and Proposal Development  
• DSRT 839 - Advanced Research Methods  
• DSRT 850 - Qualitative Research Methods  
• DSRT 930 - Dissertation  
• DSRT 931 - Dissertation *
• DSRT 834 - Advanced Statistical Applications  

* If the dissertation is not completed at the end of DSRT 931 , the candidate repeats DSRT 931  as needed, for three (3) credit hours each term, until the dissertation is completed and successfully defended.

A content specialty area of at least eighteen hours (18) must be earned in one of several disciplines:

• Artificial Intelligence
• Cyber Engineering
• Data Science
• Digital Forensics
• Information Systems Security
• Information Technology

Courses in the following UC Master's programs will matriculate as the Doctoral specialty if the courses are completed beyond the first Master’s degree:

• MS Digital Forensics
• MS Information Technology
• MS Information Systems Security
• MS Cyber Engineering
• MS Blockchain

In the event a learner needs more classes, other related discipline courses could be considered with the discretion of the Department Chair and Program Director under the direction of the Dean of the School.

For a full list of course offerings or more program specific information, visit our Academic Catalog . 

Take the Next Step

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The mission of the online IT PhD program at Cumberlands is to teach practitioners the theories, strategies, and tactics necessary to lead in today’s global technology management field. Through this program, you will strengthen your skills in:

Information Technology Careers & Outcomes

*All statistics from the U.S. Bureau of Labor and Statistics

Computer and Information Research Scientist: $136,620

Computer and information research scientists design innovative uses for new and existing computing technology.

Computer Network Architect: $126,900

Computer network architects design and build data communication networks, including local area networks (LANs), wide area networks (WANs), and Intranets.

Data Scientist: $103,500

Data scientists use analytical tools and techniques to extract meaningful insights from data.

Information Security Analyst: $112,000

Information security analysts plan and carry out security measures to protect an organization’s computer networks and systems.

Database Administrator/Architect: $112,120

Database administrators and architects create or organize systems to store and secure data.

Computer and Information Systems Manager: $164,070

Computer and information systems managers plan, coordinate, and direct computer-related activities in an organization.

Common Questions

PhD and DIT programs have more similarities than differences. Either a PhD or a DIT could prepare you to conduct research, teach, or help businesses achieve their IT goals. Which program is right for you? At University of the Cumberlands, you don’t have to make that choice. Our PhD in Information Technology program blends the best of both a DIT and PhD. Our practitioner-aimed PhD program blends research with reality-based problem-solving.  

When you earn your PhD at University of the Cumberlands, you could prepare to advance your career, pursue IT leadership roles, or teach the next generation of IT professionals in an academic setting. Whether you’re interested in diving into big data, optimizing business networks, enhancing security with blockchain technology, or something else entirely, earning your PhD could propel you to the next level.

In 2021, doctorate degree-holders earned about $18,205 more in annual median wages than those with a master’s degree. They also earned about $30,680 more than those with a bachelor’s degree. In short, earning your PhD could pay off.

You don't have to leave your current job to earn your doctorate! The PhD in Information Technology degree program at University of the Cumberlands can be completed online and on your own schedule. So, you can advance your career goals in a convenient format that fits your life.

Some areas of research or work you could go into include:

• Programming 
• Machine learning
• Cloud computing
• Network technology
• Information security

All programs at University of the Cumberlands are offered at some of the lowest rates in the nation. For more information on how affordable this program would be for you, visit our Financial Aid page.

Faculty Experts

Learn more about the professors you will interact with in the Department of Information Technology

Learn more about all that Cumberlands has to offer.

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PhD in Educational Studies, Learning Technologies

The PhD program in Learning Technologies is an intensive and interdisciplinary research and leadership program focused on the intersections between learning and technology in formal and informal educational environments. You will be immersed in both the theoretical and practical studies of learning with technology. Your experience can include pedagogical, social, cultural, economic, psychological, historical and political inquiry and critique. 

Research Interests 

Faculty and students in the PhD program integrate theoretical and practical studies of technologies and media through pedagogical, psychological, social, cultural, economic, historical and political research. Areas of focus studied by faculty and students include:

Computer-supported collaborative learning

Design-based research

Digital learning design and development

Policy and Learning

Entrepreneurship in Educational Technology

Games and simulations

Learning analytics and modeling

Learning technologies, digital divides and diverse populations

Motivation and engagement in online learning

Online, blended, and mobile learning and teaching

Social and cultural interactions in online learning

Technology and educator preparation

Technology professional development for K-12

Wearables and virtual reality

Youth, technology, and non-school environments

Career Paths

Funding Options 

Key to teaching, research and learning in the college, associateships provide students with professional experience and financial support. 

These financial awards are made by Ohio State to students based on academic merit through a university-wide competition. 

The college annually awards scholarships to its students to support their academic goals.  

Degree Requirements 

Prerequisites

Master's degree, academic writing sample

Minimum Program hours

51, post-master's degree

Deadline to apply

December 1 

Program start

Autumn Semester 

View Learning Technologies (EDUCST-PH, LTN) Curriculum Sheet

Additional Application Requirements

Academic Writing Sample

Apply to Ohio State

Application checklist

View application checklist

Maikop State Technological University Russia 2024-25: Admission, Courses, Fees, Eligibility, Ranking etc.

Maikop State Technological University was established in 1993 as a multi-level and multi-disciplinary academic institution. It serves as a modern education and research center. In 2003, the university was included in the official list of educational institutions in the Russian Federation. It offers pre-university training for international applicants in four profiles: technical, medical, biological, economic, and humanities.

In 2004, the University established the Medical Institute at its premises. Maikop State Technological University has a team of over 9.5 thousand undergraduate and graduate students, teachers and staff. Instruction is delivered by highly qualified specialists, over 70% of whom are DSc and PhD holders.

[Page Index]

College summary.

Let us look at the major details of Maikop State Technological University Russia.

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Affiliation and Recognition

The Maikop State Technological University is one of the biggest medical universities in Russia, and it is affiliated and recognized by various Medical Councils such as:

• National Medical Commission of India (NMC).
• World Health Organization (WHO).
• Ministry of Science & Higher Education of the Russian Federation.

Maikop State Technological University Russia has 14 departments and 4 Faculties on Campus. The Faculties details are given below.

• Faculty of Pediatrics
• Faculty of Medicine
• Faculty of Pharmacy
• Faculty of Dentistry

Courses Offered

Maikop State Technological University Courses offer quality medical programs under highly qualified faculty and state-of-the-art infrastructure. The College is famous for its undergraduate medical programs (MBBS).

Why Study MBBS at Maikop State Medical University?

• Maikop State University Russia offers courses that are in full English Medium instruction.
• Access to modern facilities, laboratories, and clinical training center.
• Affordable tuition fees compared to many other medical universities abroad.
• Maikop State Technological University provides internships to students. Visiting lecturers come from different parts of the world to teach medical students at this university.

Admission Procedure

If you want to take Maikop State Technological University Admission, you must qualify for the National Eligibility Entrance Exam (NEET) for Indian students.

Eligibility Criteria

Russia has been one of the top preferred destinations for international students to pursue their Medical Degree Courses. If you want to study MBBS at Maikop State Technological University, check the Maikop State Technological University eligibility below.

Graphical Representation of Eligibility Criteria

Documents Required

Before taking admission to Maikop State Medical University, please carry all these related documents.

• Passport (Minimum 18 months validity).
• 10th Certificate & Mark Sheet.
• 12th Certificate & Mark Sheet.
• Birth Certificate.
• 10 passport-size Photographs
• Official Invitation letter from the Medical University of Russia.
• Authorization of all documents from the Ministry of External Affairs, New Delhi.
• Legalization of all documents from the Russian Embassy.
• Bank receipt of 1st Year of Maikop State Technological University Tuition fees (required for some Universities).
• HIV test documents.

Fee Structure 2024-25

In this section, all the MBBS Students get information about the Maikop State Technological University fees structure 2024. Check all the relevant queries regarding fees following this page:  Low fees for MBBS Colleges in Russia .

Ranking 2024-25

According to UniRank, the Maikop State Medical University ranking in Russia and all over the world:

Advantages of MBBS in Russia

About Maikop City

• Maykop, also spelt Maikop, is the city and capital of the Republic of Adygea, Krasnodar Kray (territory), Russia, on the right bank of the Belaya River.
• Maikop State’s many mineral springs in the neighbourhood have given Maykop some importance as a spa.
• Maikop is situated in the western part of the North Caucasus, near the Kuban River.
• The region’s culinary traditions are reflected in Maikop’s local cuisine, offering a taste of Adyghean dishes and flavors.

Temperatures

Contact Details

Maikop State Technological University Russia Address: Ulitsa Pervomayskaya, 191, Maykop, Adygea Republic, Russia, 385000

Maikop State Technological University Gallery

Frequently Asked Questions (FAQ)

Where is maikop state technological university located.

Ulitsa Pervomayskaya, 191, Maykop, Adygea Republic, Russia, 385000

What scholarships and grants are available to students?

Various scholarships and service grants are available to deserving students. The Study Now, Pay Later Plan is also available on a case-to-case basis.

Does Maikop State Technological University accept transferees?

Maikop State Technological University welcomes transferees on a topic-to-case basis.

Can non-Catholics study and work at Maikop State Technological University?

Yes, Maikop State Technological University does not discriminate against the admission and employment of non-Catholics.

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About Manish Verma

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Centre for Alternative Technology - On-site Open Day (MSc and MRes Courses)

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This MSc open day is aimed at those interested in our Masters programmes for 2025 entry. Spaces are limited so we will be prioritising those who have yet to apply. If you have attended one of our Virtual Open Days then please be aware that there may be some overlaps in some of the presentations.

About the day The day takes place at the end of one of our on-site study weeks and provides a chance to: - from our lecturers about our courses and learn more about the Graduate School, our students and graduates - Tour the CAT site, including teaching facilities - Join taster practical teaching sessions to get a flavour of what you’ll be learning - Chat with staff and meet some of the people who may be starting their studies with you - Experience our on-site student accommodation if you need to stay overnight before or after the open day. (Accommodation can be booked separately by calling our WISE reception 01654 705950. Rooms may be shared but will be offered at a reduced rate for those attending the open day.)

The day will run from 9am to 4pm on a Friday. The day is free of charge and includes lunch in our vegetarian café. We are also continuing to run MSc Virtual Open Days so if you cannot attend this on-site session do have a look at our upcoming dates for online open days.

Please book in advance as spaces are limited we ask that you confirm you can attend and travel to CAT before you book your place and let us know as soon as possible if you are unable to attend. If you have any questions please get in touch by emailing [email protected] or calling 01654 705953.

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OpenAI Unveils New ChatGPT That Can Reason Through Math and Science

Driven by new technology called OpenAI o1, the chatbot can test various strategies and try to identify mistakes as it tackles complex tasks.

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Reporting from San Francisco

Online chatbots like ChatGPT from OpenAI and Gemini from Google sometimes struggle with simple math problems . The computer code they generate is often buggy and incomplete. From time to time, they even make stuff up .

On Thursday, OpenAI unveiled a new version of ChatGPT that could alleviate these flaws. The company said the chatbot, underpinned by new artificial intelligence technology called OpenAI o1, could “reason” through tasks involving math, coding and science.

“With previous models like ChatGPT, you ask them a question and they immediately start responding,” said Jakub Pachocki, OpenAI’s chief scientist. “This model can take its time. It can think through the problem — in English — and try to break it down and look for angles in an effort to provide the best answer.”

In a demonstration for The New York Times, Dr. Pachocki and Szymon Sidor, an OpenAI technical fellow, showed the chatbot solving an acrostic, a kind of word puzzle that is significantly more complex than an ordinary crossword puzzle. The chatbot also answered a Ph.D.-level chemistry question and diagnosed an illness based on a detailed report about a patient’s symptoms and history.

The new technology is part of a wider effort to build A.I. that can reason through complex tasks. Companies like Google and Meta are building similar technologies, while Microsoft and its subsidiary GitHub are working to incorporate OpenAI’s new system into their products.

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• The Republic of Adygea

Adygea is a Russian federal subject found in the south-western part of Russia in the northern part of Caucasus region. It is part of the Southern federal District. It stretches from the Kuban River in the south to the Caucasus foothills to cover an area of 2,900 square miles, and it is the 5th smallest republic in the Russian Federation. The official languages in the Republic are the Adyghe and the Russian languages. The largest city in the Republic is Maykop which is also Adygea’s capital, and it is home to about one-third of the total population in the Republic.

Maykop is the largest and the capital of Adygea Republic in the Federation of Russia . It is found on the bank of Baleya River which is a tributary of the Kuban River. The city shares its boundaries with the District of Maykopsky to the south and east, the district of Giagnsky to the north, and the District of Belorechensky in the Krai of Krasnodar to the west. The population of the city has been almost constant, and in 1989 it had a population of 148,608 people, in 2000 it had a population of 156,931 people, while in 2010 population of the city had dropped to 144,249 people.

History of Maykop

Maykop is named after the Maykop culture of the early Bronze Age, and this was after the discovery of a royal burial site in 1897. In 1857, the Russian military Fort was built in the area where the city is located. Oil deposits and natural gas were discovered near the City of Maykop in 1911, and in 1936 Maykop, together with the surrounding area, were merged to create the autonomous oblast of Adyghe and effectively becoming the administrative center for the autonomous region. In 1942, the city of Maykop was occupied by the unified army of Nazi Germany (Wehrmacht) without any resistance because of the operation of Germany ’s Brandenburger commandos. However, in January 1943 the city was liberated by the Red Army. The city has been the capital of Adygea republic in the Russian Federation since 1991.

Economic Activities

The foothills of Caucasus Mountains are covered with deciduous forests while other parts of the Republic is mainly plains which has rich soils and agriculture is the main activity and crops such as wheat, corn, hemp, sunflowers, tobacco, potatoes, vegetables, and melons a widely cultivated. There is a local specialty of a flower which is cultivated for its scent that belongs to the lavender and the Crimean Rose. Floodplains along the Kuban River are marshy, and there are approximately 8,000 hectares which have been claimed for market gardening. The main industry in the Republic is primarily processing of farm products, and there are oil and natural gas which is extracted near the Maykop. Similarly, timber is another major product particularly in the Southern part of the Republic.

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