2024-2025 Graduate Catalog | | The Computer Science and Engineering MS program offers students a comprehensive grasp of cutting-edge industry subjects while equipping them to engage in fundamental and applied research in computer science. The program encompasses various tracks, including artificial intelligence and machine learning, systems, and a research track that enables students to pursue personalized projects or engage in supervised research. Track OptionsThe MS program has three tracks to select from: - Artificial Intelligence / Machine Learning
- Software/Hardware Systems
Research TrackResearch track: required core (13 credits). - CSE 501LEC - Introduction to Graduate Study in Computer Science I Credits: 1
Theory and Algorithms (3 credits)Select 1 from: - CSE 529LEC - Algorithms for Modern Computing Systems Credits: 3
- CSE 531LEC - Analysis of Algorithms I Credits: 3
- CSE 596LEC - Introduction to the Theory of Computation Credits: 3
Artificial Intelligence (3 credits)Select 1 from: - CSE 528LEC - Introduction to Digital Image Processing Credits: 3
- CSE 546LEC - Reinforcement Learning Credits: 3
- CSE 555LEC - Introduction to Pattern Recognition Credits: 3
- CSE 563LEC - Knowledge Representation Credits: 3
- CSE 567LEC - Computational Linguistics Credits: 3
- CSE 568LEC - Robotics Algorithms Credits: 3
- CSE 573LEC - Introduction to Computer Vision and Image Processing Credits: 3
- CSE 574LEC - Introduction to Machine Learning Credits: 3
Software and Information Systems (3 credits)- CSE 505LEC - Fundamentals of Programming Languages Credits: 3
- CSE 512LR - Oper Sys Internals Credits: 3
- CSE 521LEC - Operating Systems Credits: 3
- CSE 522LEC - Object Oriented Analysis, Design and Implementation Credits: 3
- CSE 535LEC - Information Retrieval Credits: 3
- CSE 562LEC - Database Systems Credits: 3
- CSE 565LEC - Computer Security Credits: 3
- CSE 570LEC - Introduction to Parallel and Distributed Processing Credits: 3
- CSE 586LEC - Distributed Systems Credits: 3
- CSE 587LEC - Data Intensive Computing Credits: 3
Hardware and Networked Systems (3 credits)- CSE 589LEC - Modern Network Concepts Credits: 3
- CSE 590LEC - Computer Architecture Credits: 3
- CSE 593LLB - Introduction to VLSI Electronics Credits: 3
Depth Requirement (9 credits)Select 2 courses, not previously completed, from one area and 1 additional course from a different area: Theory and Algorithms:- CSE 545LEC - Coding Theory Credits: 3
- CSE 632LEC - Analysis of Algorithms II Credits: 3
- CSE 633LEC - Parallel Algorithms Credits: 3
- CSE 664LEC - Applied Cryptography and Computer Security Credits: 3
- CSE 680LEC - Computational Geometry Credits: 3
- CSE 696LEC - Computational Complexity Credits: 3
Artificial Intelligence:- CSE 635LEC - Natural Language Processing and Text Mining Credits: 3
- CSE 640LEC - Graph Mining and Management Credits: 3
- CSE 666LEC - Biometrics Image Analysis Credits: 3
- CSE 667LEC - Advanced Topics in Computational Linguistics Credits: 3
- CSE 668LEC - Advanced Robotics Credits: 3
- CSE 673LEC - Computational Vision Credits: 3
- CSE 674LEC - Advanced Machine Learning Credits: 3
- CSE 675LEC - Stochastic Simulation and Inference Credits: 3
- CSE 676LEC - Deep Learning Credits: 3
Software and Information Systems:- CSE 526LEC - Blockchain Application Development Credits: 3
- CSE 560LEC - Data Models and Query Languages Credits: 3
- CSE 577LEC - Processing of Strings and Sequences Credits: 3
- CSE 601LEC - Data Mining and Bioinformatics Credits: 3
- CSE 603LEC - Parallel and Distributed Processing Credits: 3
- CSE 605LEC - Advanced Concepts in Programming Languages Credits: 3
- CSE 611LEC - MS Project Development Credits: 3
- CSE 622LEC - Advanced Computer Systems Credits: 3
- CSE 662LEC - Languages and Runtimes for Big Data Credits: 3
Hardware and Networked Systems:- CSE 524LEC - Realtime & Embedded Sys Credits: 3
- CSE 534LEC - Multimedia Systems Credits: 3
- CSE 547LEC - High Performance Computing 1 Credits: 3
- CSE 566LEC - Wireless Networks Security Credits: 3
- CSE 620LEC - Adv Network Concepts Credits: 3
- CSE 630LEC - Advanced Wireless Networking Concepts Credits: 3
- CSE 646LEC - Wireless Ntwkg & Mob Comp Credits: 3
- CSE 691LEC - Advanced VLSI Design Credits: 3
Additional Requirements (1-3 credits)- One CSE 7XX level seminar Credits: 1-3
- Excluding CSE 700 and CSE 799 .
Research Track Electives (0-2 credits)Number of elective credits may vary depending on choice made to complete the culminating experience. Be sure to complete enough elective credit to reach 30 minimum total credit hours. - All graduate level Computer Science (CSE) courses.
- All graduate level School of Engineering and Applied Sciences (SEAS) courses.
- Management (MGT) courses with permission from Director of Graduate Studies (DGS).
- ART 543STU - Computational Media II: Design and Computational Thinking Credits: 3
- CDA 532LEC - Statistical Data Mining II Credits: 3
- DEE 501SEM - Foundations of Engineering Education Credits: 3
- DEE 502SEM - Equity and Inclusion in Engineering Education Credits: 3
- DEE 520SEM - Computing Education Credits: 3
- DMS 562SEM - Game Design Credits: 3
- EAS 501LEC - Introduction to Numerical Mathematics for Computing and Data Science Credits: 3
- EAS 503LEC - Programming and Database Fundamentals for Data Scientists Credits: 3
- EAS 600TUT - Individual Problems Credits: 1 - 3
- EE 520LEC - Quantum Computing and Devices Credits: 3
- EE 542LEC - Advanced Energy Grid Systems I Credits: 3
- LIS 500LEC - Special Topics in Information Technologies Credits: 1 - 6
- MGO 634LEC - Project Management Credits: 3
- MGO 660LEC - Intro to Entrepreneurship Credits: 3
- MGO 665SEM - Technological Entrepreneurship Credits: 3
- MGS 602LEC - Global IT Infrastructure Mgmt Credits: 3
- MGS 607LEC - Technology and Innovation Management Credits: 3
- MGS 610LEC - Digital Forensics Credits: 3
- MGS 616LEC - Predictive Analytics Credits: 3
- MGS 625LEC - Management of IT Projects Credits: 3
- MGS 628LEC - Data Visualization for Business Insights Credits: 3
- MGS 639LEC - Cybersecurity, Privacy & Ethics Credits: 3
- MGS 650LEC - Information Assurance Credits: 3
- MGS 655LEC - Distributed Computing and Big Data Technologies Credits: 3
- MTH 558LEC - Mathematical Finance Credits: 3
- PSY 575LEC - Intro to Cognitive Science Credits: 3
- STA 667LEC - Adv Bayesian Inference Credits: 3
- STA 545LEC - Statistical Data Mining I Credits: 3
- EAS 506LEC - Statistical Data Mining I Credits: 3
- CDA 541LEC - Statistical Data Mining I Credits: 3
- STA 546LEC - Data Mining II Credits: 3
- EAS 507LEC - Statistical Data Mining II Credits: 3
- MGS 640LEC - IT Risk Management Credits: 3
Culminating Experience: Project or Thesis (1-5 credits)- CSE 799TUT - Supervised Research Credits: 1 - 3
- CSE 800TUT - Thesis Guidance Credits: 1 - 12
Total Credits: 303.0 Degree GPA required AI / ML TrackAi / ml track required core (15 credits), software and information systems (6 credits), depth requirement & project capstone (9 credits). Capstone project to be complete in CSE 573 . AI / ML Track Electives (6 credits)Select from: - CSE 598TUT - Internship Credits: 1 - 3
- CSE 700TUT - Independent Study Credits: 1 - 3 (with faculty permission)
- MGS 653LEC - Social Network Analytics Credits: 3
Total Credit Hours: 30Systems track, systems track required core (15 credits). Capstone project to be complete in CSE 562 . Systems Track Electives (6 credits)Select from: Instruction Method- In Person ( 100 percent of courses offered in person )
Full/Part Time OptionsCredits required, time-to-degree. Application FeeAdmission tests **, sed statement. This program is officially registered with the New York State Education Department (SED). Online programs/courses may require students to come to campus on occasion. Time-to-degree and number of credit hours may vary based on full/part time status, degree, track and/or certification option chosen. Time-to-degree is based on calendar year(s). Contact the department for details. ** At least one of the admissions tests are required for admission. Test and score requirements/exceptions vary by program. Contact the department for details. Carnegie Mellon University School of Computer ScienceCarnegie mellon offers new online graduate certificate in computational data science to meet ai demand graduates will leverage ai to solve problems across many industries. Aaron Aupperlee Monday, July 10, 2023 Print this page. Artificial intelligence has transformed how industries and organizations operate, putting data professionals in high demand. To meet this increasing need, Carnegie Mellon University recently launched an online Graduate Certificate in Computational Data Science Foundations * program. "Everything we teach will translate into skills that enable mobilization of data for significant impact in your organization," said Carolyn Rosé , the faculty program director and a professor in both the Human-Computer Interaction Institute and the Language Technologies Institute (LTI). "The Graduate Certificate in Computational Data Science Foundations is built for the large-scale data problems that organizations are facing and addresses the cloud-based technologies needed to solve real-world data problems." The 100% online program will train tech-savvy professionals to leverage AI and machine learning technology to harness the power of big data. Participants will experience the same rigorous coursework of a CMU graduate program in a flexible and convenient format. With a solid background in computational data science, graduates will be able to solve problems across a variety of industries. The program will give participants the tools they need to help their organizations drive efficiency, create technological advancements, gain insights for the future and win in the marketplace. CMU is one of the top universities in the nation for learning computational data science, and participants in the certificate program will study with leading data science researchers. The Computational Data Science Foundations program is the latest online graduate certificate offered by CMU and the first from the School of Computer Science and the LTI. Applications are open. For more information or to apply, visit the Graduate Certificate in Computational Data Science Foundations website . *As of February 2024, the program has been renamed Machine Learning and Data Science Foundations to better reflect the emphasis on machine learning in the curriculum. Aaron Aupperlee | 412-268-9068 | [email protected] |
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A small number of highly qualified students are admitted each year to the PhD Program in Computer Science. Admission is very competitive, based primarily on research-oriented reference letters, academic grades, and overall experience and record. Applicants need not already hold a master's degree; bachelor's degree-level applicants are also ...
The standalone CSE PhD program is intended for students who plan to pursue research in cross-cutting methodological aspects of computational science. The resulting doctoral degree in Computational Science and Engineering is awarded by CCSE via the the Schwarzman College of Computing. In contrast, the interdisciplinary Dept-CSE PhD program is ...
The Computer Science Department PhD program is a top-ranked research-oriented program, typically completed in 5-6 years. There are very few course requirements and the emphasis is on preparation for a career in Computer Science research. ... See detailed information by region on Stanford Graduate Admissions website. Area of undergraduate study ...
how to apply to the computer science Ph.D. program, and; sources of funding for graduate study in the Ph.D. program. For Fall of 2025 the CS PhD application deadline is December 15th, 2024. For general information about the Ph.D. program, please see the Ph.D. program overview. The Ph.D. Applicant FAQ also answers many common questions. The Ph.D ...
The minimum eligibility criteria for PhD in Computer Science Admissions is M.Phil in computer science or equivalent degree with 55% marks in aggregate. The fee for PhD in Computer Science across the course ranges from INR 10,000 to INR 2.75 Lacs across various PhD computer science colleges in India. The variation in the fee is based on the ...
Early Deadline - November 29, 2023 (3 PM EST) Early application deadline fee $80 per program. PLEASE NOTE: This is for a fee reduction only, not early admission consideration. Final Deadline - December 13, 2023 (3 PM EST) Application fee, after November 29, $100 per program. You are able to edit or update some parts of your application up to ...
Step 1 - create your account and provide your personal details (e.g., name, contact information, and address). Step 2 - select your academic area of interest (e.g., PhD Computer Science) and enter your academic history, exam test scores, and recommender information. Submit your application. Research Interests and Specific Faculty: When ...
Degrees and GPA Requirements Bachelors degree: All graduate applicants must hold an earned baccalaureate from a regionally accredited college or university or the recognized equivalent from an international institution. Grade point average: The minimum undergraduate GPA for admission consideration for graduate study at the University of Denver is a cumulative 2.5 on a 4.0 scale or a 2.5 on a 4 ...
Artificial Intelligence and Decision-making combines intellectual traditions from across computer science and electrical engineering to develop techniques for the analysis and synthesis of systems that interact with an external world via perception, communication, and action; while also learning, making decisions and adapting to a changing environment.
The PhD is the Computer Science Department's primary doctoral program. PhD students are expected to be during every fall and spring academic semester from initial enrollment until the dissertation has been distributed to their defense committee, except during leaves of absence approved by the university. PhD students spend at least half of ...
Announcements. List of Selected Candidates (Phase-II) for Ph.D. Admissions 2023-24: Click here. List of Selected Candidates (Phase-I) for Ph.D. Admissions 2023: Click here. Interview Schedule for Ph.D. Computer Science 2023 (Phase-I): List. For details of the admission procedure and syllabus refer to the University of Delhi document.
For admissions inquiries specific to the PhD program in Computer Science: [email protected]. For information regarding open houses for prospective PhD students. GSAS Graduate Fairs and Open Houses. Learn about the admissions process for the PhD Program at the Computer Science Department at New York University's Courant Institute.
Find Your Passion for Research Duke Computer Science gives incoming students an opportunity to investigate a range of topics, research problems, and research groups before committing to an advisor in the first year. Funding from the department and Duke makes it possible to attend group meetings, seminars, classes and colloquia. Students may work on multiple problems simultaneously while ...
Explore Academic ProgramsFall 2023 or LaterThese guidelines apply to students who started the PhD program in the Fall 2023 or Later. For earlier guidelines, please see Fall 2015 to Spring 2023 guidelines. For a breakdown of CS PhD program milestones, please see Ph.D. Milestones for Computer Science students. 1. Introduction The PhD degree at the USC Computer Science department prepares ...
The knowledge you need to lead the field. The PhD in Computer Science program provides students with the advanced coursework and groundbreaking research opportunities they need to contribute at the forefront of the world's fastest-growing fields. Forging knowledge in 15 core areas like artificial intelligence, data science, programming ...
The deadline for admission in the fall term, 2024, is January 2, 2024 for master's student applicants. The deadline for applicants to the doctoral program is December 15, 2023. There is no way to apply during a spring term, although once admitted a student may delay admission for a year or possibly less, with final permission from the Dean of ...
Applications open: September 1, 2023; Rolling admission review will occur through March 15, 2024; First consideration deadline:December 15, 2023; PhD in Computer Science Admissions Requirements. ... Both the PhD in Computer Science and PhD in Information Science programs are offered on campus only.
The coursework for the CS PhD consists of the following, per the current 2023-24 GT Catalog year: CS 7001- Intro to Grad Studies, 5 hours. Breadth Requirement, 12 hours. The Breadth component of the program is intended to give students a view into a variety of areas within computing.
For Fall 2023 we received over 3500 applications for PhD and MS combined and admitted around 420. Process. All applications submitted by the application deadline (see above) will be reviewed by the CS admissions committee. Offers of admission for the fall semester will be sent via email and through the online application system prior to April ...
The Department of Computer Science at Georgetown University is seeking applications for several fully-funded Ph.D. positions in the following broad areas, starting in Fall 2024: Students with interdisciplinary research interests may add a concentration in Cognitive Science in combination with one of the above research areas. Qualifications About Georgetown University Georgetown University is a ...
Ph.D (Computer Science) (Part Time) From IGNOU, New Delhi. New Delhi, Delhi NCR Open University Estd 1985 NAAC Grade A++ . Read 298 New Questions & Answers. Course Finder. ... IGNOU July Session Admission 2024 Deadline Further Extended till August 14; Get Direct Link Here. Written By Ankita Garkoti on Aug 1, 2024.
The PhD in Computer Science offers exciting opportunities to do cutting-edge research in an internationally renowned environment. The results of the 2021 REF rank Warwick Computer Science 4th out of 90 UK Computer Science departments. This cements our position as one of the top Computer Science departments in the UK, a position we have held for some time under different assessment methodologies.
Computer Science & Engineering Machine Learning, Deep Learning, Artificial Intelligence, Networking, Information Security 4. Electronics & Communication Engineering ... PhD Admissions, January, 2023 (Academic Year 2022-23), NIT Hamirpur (HP) Page 5
Category III cut-off. Tentative cut-off is 150 out of 400 marks. Explore a wide range of 10th, 12th, Diploma, undergraduate, postgraduate, and doctoral programs at Lovely Professional University. Use our Program Search to find the perfect course to match your academic and career aspirations.
Admissions are available for all the Academic programmes at Vel Tech. These Academic programmes are structured around seven Schools of study with Undergraduate, Post Graduate, and Doctoral programmes.
All graduate level Computer Science (CSE) courses. All graduate level School of Engineering and Applied Sciences (SEAS) courses. Management (MGT) courses with permission from Director of Graduate Studies (DGS). ART 543STU - Computational Media II: Design and Computational Thinking Credits: 3; CDA 532LEC - Statistical Data Mining II Credits: 3
The Computational Data Science Foundations program is the latest online graduate certificate offered by CMU and the first from the School of Computer Science and the LTI. Applications are open. For more information or to apply, visit the Graduate Certificate in Computational Data Science Foundations website.