nyu phd requirements

Application Requirements

There are a number of things to accomplish—and deadlines to be aware of—when applying to graduate or professional school. Understanding sooner rather than later what to do and when to do it can help make the application process less daunting. Below you’ll find some general information and insights to help make your first steps toward applying to an NYU graduate program a bit easier.

First Things First

Common application requirements, additional application requirements, deadlines and decisions.

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The first thing to understand when applying to an NYU graduate or professional program is that each graduate school, center, or institute—and their individual departments and programs in many cases—determines its own application requirements. While this page provides a general introduction to applying to NYU, the information here may or may not apply to your specific program. Therefore, it is extremely important for you to speak directly with the admissions counselors at your school and program of interest. When you determine the NYU program that’s right for you, don’t wait to reach out.

There are a handful of items that, in many cases, are common across graduate school applications. It’s worth repeating, however, that you should get in touch with your school and program directly to learn exactly what your application requires. Some more common application items include:

• Letter(s) of Recommendation: Some programs ask for one. Others may ask for up to four. There may also be specific expectations about who should write these letters, but in general they should come from individuals who know you well and are able to speak directly to your abilities, accomplishments, and potential.
• Statement of Purpose/Personal Statement/Personal Essay: This is your chance to tell admissions who you are, explain your goals (both academic and professional), and share the ways in which the program will benefit by bringing you in. It’s possible that the program may have a more specific prompt or ask you to address a specific question or series of questions.
• Transcripts and Degrees: Since you’re taking your academics to the next level, you need to prove that you’ve successfully completed the previous level(s). The graduate or professional program to which you’re applying will usually determine the transcripts and degree(s) you’re expected to provide. Applying to a master’s program commonly requires a bachelor’s degree and transcripts from all undergraduate institutions. Similarly, applying to a PhD or other doctoral program may require a master’s degree and transcripts from all graduate institutions.
• English Language Proficiency Exam: If you’re an international applicant, or you completed your previous degree outside the United States at an institution where English is not the language of instruction, you may be required to submit scores from an English Language Proficiency Exam (ELPE). There are a number of ELPEs out there. Make sure you’re taking the right one by contacting your program’s graduate admissions office.
• Application Fee: Application fees vary by school and program. Get in touch with your program’s graduate admissions office if you have questions.

Depending on the program you’re interested in, there may be some requirements in addition to—or in place of—the more common ones listed above. You’ll often encounter these additional requirements when applying to programs in the medical, legal, or artistic fields, but they’re not limited to those areas. While your program’s graduate admissions office will be able to tell you exactly what you need to submit with your application, you can learn about a few of them here:

• Entrance Exam(s): While graduate school entrance exams might be considered common by some, exactly which exam you might be required to take can vary across programs. The most common exam is the GRE (Graduate Record Examination), but the GMAT (Graduate Management Admission Test), LSAT (Law School Admission Test), and MCAT (Medical College Admissions Test) are also quite well known.  
• Creative Submission(s): Even though portfolio submissions and auditions are common when applying to an arts program, others may also ask you to provide writing samples, musical scores, or video submissions. These requirements give you the chance to display your abilities and show programs firsthand why they should admit you.
• Interviews: You may be asked to sit for an in-person interview with one or more individuals from your program. Like a job interview, these conversations give you the chance to introduce yourself to the people you’ll be working with and answer questions about your academic, professional, and personal goals. 
• Résumé or CV: You may be expected to submit a résumé or CV that showcases your academic and/or professional experiences, particularly those that are most relevant to your field of study. A résumé or CV is also an opportunity to share your research experience and academic publications, which may be required for certain research-based programs.

Application deadlines and admissions decision dates are quite varied across NYU’s graduate and professional schools, centers, and institutes. Application deadlines depend on a number of factors, including the program you’re applying to, when you’re planning to start, and whether you plan to be a full- or part-time student. Additionally, early decision applications have a different deadline than regular decision applications. Talk to your admissions counselor and make sure you understand your program’s application deadlines.

Like application deadlines, admissions decision dates vary across NYU. Admissions decisions also depend on the program and starting term as well as the schedules of individual schools, centers, or institutes. Some programs have set admissions decision dates, while others provide time frames or utilize rolling decisions. Your admissions counselor will be able to give you an idea of when you can expect to receive your admissions decision.

Ph.D. Degree Requirements

To receive a PhD in Computer Science at NYU, a student must:

• Satisfy a breadth requirement
• Satisfy a depth requirement
• Satisfy a teaching requirement
• Write and defend a thesis proposal
• Write and defend a PhD thesis
• Satisfy general NYU degree requirements

1. Breadth requirements

The breadth requirement form is availabe on the forms page for PhD students.

Rationale: The breadth requirement is designed to ensure competence across three broad areas of computer science: theory, systems, and applications. Within theory, the topic of algorithms is a requirement for every student.

Every student must complete requirements (1a), (1b), (1c), and (1d) by May 15 of the second year of PhD study in order for support to be continued.

(1a) Algorithms

Every student must receive a grade of A or A- on the final examination in the Honors Algorithms course. Students may take the final exam without being enrolled in the course.

The syllabus and final exam for every offering of the Honors Algorithms course will be determined by a committee of faculty members who routinely teach this class.

(1b) Systems

This requirement can be satisfied in two ways. Either:

• the student receives an A or A- in an approved course in systems listed in Appendix .
• the student has received an A or A- in a similar PhD-level systems course at another university with standards comparable to NYU's. This determination will be made by the Director of Graduate Studies (DGS). In this case, the student is required to work on a medium-size or larger software project at NYU This project can be part of coursework or the student's research. A brief report on the project must be accepted by the DGS.

(1c) Applications

This requirements is satisfied in one of three ways. Either:

• the student receives an A or A- in an approved applications course listed in Appendix ,
• the student passes a departmental exam in one of the subjects, if an exam is offered, or
• the student has received an A or A- in a similar PhD-level applications course at another university with standards comparable to NYU's. This determination will be made by the DGS.

(1d) Free choice

The student must either:

• receive an A or A- in an approved course in theory listed in Appendix .
• receive an A or A- in an additional course from the courses that can be used to satisfy requirements (1b) or (1c). This course cannot coincide with the courses used to satisfy (1b) and (1c) or
• have received an A or A- in a similar PhD-level course at another university with standards comparable to NYU's, substantially different from the courses used to satisfy requirements 1b and 1c. This determination will be made by the DGS.

Once a student has passed all courses and exams necessary to satisfy the breadth requirement, the student must inform his or her academic advisor in writing, specifying how each of parts 1a, 1b, 1c, and 1d has been satisfied. The academic advisor verifies that the breadth requirement rules were followed and forwards the information to the DGS.

The classes that can be used to satisfy breadth requirements will be reviewed regularly by the graduate curriculum committee; The graduate curriculum committee proposes the changes to the faculty for approval. Current list of approved classes can be found in the appendix.

The following standards will be maintained:

(a) Classes must be at the PhD level, i.e., more advanced than undergraduate or MS-level classes.

(b) The classes and exams must be rigorous and stable. Examples of inappropriate classes include those in which students are traditionally not differentially evaluated (e.g., all students receive As or "pass"), courses whose content completely changes from year to year, and courses in which grades are based on attendance or making a presentation of someone else's paper, rather than on tests and homework assignments.

(c) Acceptable systems classes will involve substantial software development.

2. Depth requirement

The depth requirement forms are availabe on the forms page for PhD students.

No later than May 15 of the second year of PhD study, each student must be involved in a research project under the guidance of a faculty research advisor. It is the responsibility of each student to find a faculty advisor and a research project, and to inform the DGS about his/her choice of advisor. Students must inform the DGS if they change the research advisor.

Students are required to form a depth exam committee and have the committee, an exam topic and a tentative date approved by the Director of Graduate Studies by the end of the first semester of their second year of studies, This exam may be taken no more than twice.

A DQE is administered by a committee of at least three faculty members, nominated by the student and his/her research advisor, and approved by the DGS. Each DQE will have a designated chair who is not the student's research advisor. If the research advisor is not a member of the committee, the research advisor must write a letter evaluating student's progress, and send it to the DQE committee members before the exam.

The DQE committee will define a syllabus, which must be approved by the DGS, and make the syllabus available to the student no later than two weeks before the exam.

The DQE has two parts:

(2a) An examination to demonstrate the student's knowledge of the research area. The scope of this exam should be similar to a typical PhD-level special topics course. It should not be as broad as an introductory course nor as narrow as a thesis. Examples of suitable topics are "Type theory in programming languages", "Probabilistic algorithms", "Computational learning theory", "3-D modeling", "Semidefinite programming", and "Low-power computing". Topics such as "Databases" or "Programming languages" would be too broad; topics such as "Voronoi diagrams" or "Tail-recursion optimization" would be too narrow. This exam may be oral or written, at the discretion of the committee. The requirement is that it seriously test the student's knowledge of a research area as distinct from the student's research accomplishments.

(2b) An oral presentation of the student's research accomplishments. A student is expected to have conducted original research by the time of the exam. This research may have have been carried out independently or in collaboration with faculty, research staff, or other students. Students are encouraged, but not required, to have publication-worthy results by the time of the exam. It is not sufficient for a student to present a survey of previous work in an area or a reimplementation of algorithms, techniques, or systems developed by others.

The committee, by majority vote, gives a separate grade for (2a) and (2b) as one of "PhD Pass", "MS Pass", or "Fail." A PhD pass on both parts must be achieved for support to be continued beyond the second year. A student who receives a "PhD Pass" on only one part of the exam may request permission from the committee to retake only the other part of the exam.

If a student has passed the DQE and then changes his/her area of research, the student need not retake the DQE.

3. Teaching requirement

By the end of the third year of study, each student must have served as a section leader of at least one course in the department. Courses on related topics outside the department may also be used to satisfy this requirement subject to approval by the DGS. The student must also participate in the department's teacher training session at or prior to the semester in which they teach. In certain circumstances, the DGS may allow the student to satisfy this requirement by serving as a course assistant or as a grader. These exceptions will be determined by the DGS based on the availability of suitable recitations.

4. Thesis proposal and presentation

Students are required to form a thesis proposal committee and have the committee and a tentative date for the thesis proposal presentation approved by the Chair and the Director of Graduate Studies by the end of the first semester of their third year of studies.

When a student is ready to start work on the PhD thesis, the student must (i) select, with the approval of his/her research advisor and the DGS, a thesis reading committee, and (ii) submit a written thesis proposal to the committee.

The student and the student's research advisor suggest the composition of the thesis reading committee for approval by the DGS and Department Chair. The committee must include at least three members. All changes to the composition of the committee must be approved by the DGS and the Chair. The committee members can be regular computer science faculty, faculty from other departments, or individuals of like standing from outside the University. At least one member of the reading committee must be regular Computer Science faculty.

The thesis proposal should include:

• a description of the research topic
• an explanation of how the research will advance the state of the art, and
• a tentative research plan

After the thesis reading committee has approved the thesis proposal, the student should schedule a thesis proposal presentation and notify the Program Adminisitrator once this has been finalized. This presentation should be announced to the faculty by the Program Administrator,PhD Program, at least one week before it occurs. The presentation may or may not be open to people other than faculty, at the discretion of the research advisor.

Substantial subsequent changes to the thesis topic must be approved by the thesis reading committee. The proposal must be defended no later than May 15 of the third year of studies.

With the successful completion of the thesis proposal presentation milestone, a student reaches PhD candidate status and will be awarded the MPhil degree.

5. Thesis and thesis defense

The final step in the PhD program is the student's defense of his/her PhD thesis. The procedures to be followed for the thesis defense can be found on the Dissertation Defense Checklist .

6. General NYU requirements

Students must end the semester in which they take their fifth class and all subsequent semesters with a GPA of 3.5 or higher. Note that the departmental requirement in this case is more stringent than the GSAS requirement (cumulative GPA of at least 3.0).

In addition the following general GSAS requirements have to be satisfied:

• Students must complete three years of full-time study beyond the undergraduate degree, at least one year of which must be in residence at the GSAS.
• Students must complete 72 points of graduate credit including at least 32 points for courses taken at the GSAS. At any time, students must have successfully completed 66 percent of credits attempted while at NYU, not including the current semester. Courses with grades of I, W, and F are not considered successfully completed.
• Time Limit. All requirements for the doctoral degree must be completed no later than ten years from the initial date of matriculation. However, if the student transfers credit from classes taken as part of a previously earned master's degree, then the time limit is seven years.

Other GSAS and NYU requirements can be found in the GSAS Bulletin.

7. Academic standing

To be in good academic standing a student must meet the deadlines for all requirements specified in this document and maintain the required minimal GPA. For supported students, maintaining good academic standing is a condition of the guaranteed support. If a student fails to maintain good academic standing, his or her support may be discontinued, and the student may be removed from the program. A student's academic standing is determined by the DGS each semester. The PhD admissions and financial aid committee decides in which cases support is discontinued. In most cases, a student will be removed from the program when his or her support is discontinued for failure to maintain good academic standing.

The following courses can be used to satisfy the breadth requirements:

1a. Algorithms

• CSCI-GA.3520 Honors Analysis of Algorithms

1b. Systems

• CSCI-GA.2243 High Performance Computer Architecture
• CSCI-GA.2434 Advanced Database Systems
• CSCI-GA.2620 Networks and Mobile Systems
• CSCI-GA.2621 Distributed Systems
• CSCI-GA.3110 Honors Programming Languages
• CSCI-GA.3130 Honors Compilers
• CSCI-GA.3140 Abstract Interpretation
• CSCI-GA.3250 Honors Operating Systems

1c. Applications

• CSCI-GA.2270 Computer Graphics
• CSCI-GA.2271 Computer Vision
• CSCI-GA.2560 Artificial Intelligence
• CSCI-GA.2565 Machine Learning
• CSCI-GA.2566 Foundations of Machine Learning
• CSCI-GA.2567 Machine Learning and Computational Statistics
• CSCI-GA.2572 Deep Learning
• CSCI-GA.2590 Natural Language Processing

NOTE: Only one of these classes can be counted for breadth requirements (either Applications or Free Choice). Machine Learning emphasizes applications, and Foundations of Machine Learning emphasizes theoretical aspects of machine learning, although both include theoretical and practical components. Please familiarize yourself with class requirements and consult your academic advisor before choosing one of these classes.

1d. Free choice

Any of the courses listed under 1b and 1c, or any of the following courses:

• CSCI-GA.2390 Logic in Computer Science
• CSCI-GA.2420 Numerical Methods I
• CSCI-GA.2421 Numerical Methods II
• CSCI-GA.2945 Numerical Optimization
• CSCI-GA.2945 Convex and Non-Smooth Optimization
• CSCI-GA.3210 Introduction to Cryptography
• CSCI-GA.3350 Honors Theory of Computation

Computer Science (PhD)

Program description.

We have a thriving PhD program with many full-time PhD students hailing from all corners of the world. Most full-time PhD students have scholarships that cover tuition and provide a monthly stipend. Admission is highly competitive. We seek creative, articulate students with undergraduate and master's degrees from top universities worldwide. Our  current research strengths  include data management and analysis, cybersecurity, computer games, visualization, web search, graphics, vision and image processing, and theoretical computer science.

This degree program offers interested students opportunities to do their research abroad, under the supervision of faculty at  NYU Shanghai  or  NYU Abu Dhabi .

To apply for admission to any Tandon graduate program, please contact the Office of Graduate Admissions .

Program Summary

Program requirements, theory courses, systems & applications courses, gpa and grade requirements, qualifying exam, dissertation proposal and presentation, dissertation and dissertation defense, annual phd student assessment meeting.

To receive a PhD in Computer Science at the NYU Tandon School of Engineering, a student must:

• satisfy a breadth course requirement, intended to ensure broad knowledge of computer science,
• satisfy a depth requirement, consisting of an oral qualifying exam presentation with a written report, to ensure the student’s ability to do research,
• submit a written dissertation proposal and make an oral presentation about the proposal,
• write a PhD dissertation that must be approved by a dissertation guidance committee and present an oral dissertation defense, and
• satisfy all requirements for the PhD degree, as described below including credit points, GPA, and time-to-degree requirements.

Upon entering the program, each student will be assigned a faculty adviser who will guide them in formulating an individual study plan directing their course choice for the first two years. The department will hold an annual PhD Student Assessment Meeting, in which all PhD students will be formally reviewed.

The program requires the completion of 75 credits, comprised of the following:

Often students with a prior relevant MS degree transfer 30 blanket credits toward the electives requirement.

Students are free to and encouraged to explore courses from within the CSE department as well as other departments within Tandon and other schools at NYU, except for the School of Professional Studies. Once courses of interest have been identified, students should discuss them with their adviser for approval. Alternatively, students may choose more courses from the Theory course list or Systems & Applications course list: courses from these lists require no further approval from the adviser. The following courses cannot be used to meet this requirement:

• GA-GY 9993 Writing and Communication for Engineers and Scientists
• CS-GY 9963 ADVANCED PROJECT IN COMPUTER SCIENCE
• CS-GY 9413 Readings in Computer Science I
• CS-GY 9423 Readings in Computer Science II
• CS-GY 999X PHD DISSERTATION IN COMPUTER SCIENCE

Extra dissertation credits may count towards the electives, with the approval of the PhD adviser.

GA-GY 9993 Writing and Communication for Engineers and Scientists may also count toward dissertation credits.

Course Lists

The Computer Science PhD has several specific GPA and grade requirements. Breadth Grade Requirement : A grade of B or higher is required in all courses used to fill the breadth requirement. Theory and Systems & Applications GPA : Students must earn a GPA of 3.5 or higher in the four courses used to fill the Theory and Systems & Applications course requirements above.  Free Choice GPA : A GPA of 3.5 or higher must be earned in the two Free Choice courses. Cumulative GPA : An overall GPA of 3.0 or higher is required in all graduate courses taken.

 Any student who has not taken a course in Algorithms prior to entering the PhD program, at either the undergraduate or the graduate level, must take a graduate course in algorithms while in the PhD program.  Students may take Design and Analysis of Algorithms I ( CS-GY 6033 ) , Design and Analysis of Algorithms II ( CS-GY 6043 ) , or  Honors Analysis of Algorithms ( CSCI-GA 3520 ) to fulfill this requirement. The department may revise these options in the future depending on course offerings. Alternatively, students may petition the PhD Committee (PHDC) Chair to use another course. The grade received in the course must be at least B.

By the end of a student’s third semester in the program, at the latest, the student must be involved in a research project under the guidance of a faculty research adviser. It is the responsibility of each student to find a faculty research adviser and a research project, and to inform the PHDC Chair about their choice of adviser. Students must inform the PHDC Chair if they change their research adviser.

To satisfy the depth requirement, students must take a qualifying exam (QE) based on their research. The QE must be passed before the start of the student’s fifth semester in the program. Students are required to form a QE committee, select an exam topic, and a tentative date approved by the adviser and committee, by the end of their third semester.

Scheduling the QE less than two months before the start of the fifth semester is strongly discouraged. If a student does not pass the QE before the fifth semester, the student will not be allowed to continue the PhD in the fifth semester, unless an exception is granted by the PHDC and the Office of Graduate Academics.

The QE committee must consist of the adviser and at least two other members. The committee must be approved by the adviser and the PHDC. The adviser is the designated chair of the committee. All members of the QE committee must be CSE faculty, faculty from other departments at NYU, or individuals of like standing from outside the university. At least two of the QE committee members must be tenured or tenure-track members of the CSE department, unless permission is obtained from the PHDC to include only one such member.

For the QE, the student must give an oral presentation of their research accomplishments to the QE committee and write a detailed document describing those accomplishments. The document must be submitted to the QE committee and the PHDC no later than one week before the oral presentation. A student is expected to have conducted original research by the time of the exam. This research may have been carried out independently or in collaboration with faculty, research staff, or other students. Students are encouraged, but not required, to have publication-worthy results by the time of the exam. It is not sufficient for a student to present a survey of previous work in an area or a re-implementation of algorithms, techniques, or systems developed by others.

The committee, by majority vote, gives a grade for the QE as either “Pass” or “Fail”. The chair of the QE committee will send this grade in writing to the student and to the PHDC Chair, together with a written evaluation of the student’s performance, approved by the QE committee members. A student who does not receive a “Pass” may request permission from the PHDC to retake the exam. The PHDC will consult with the QE committee, review the case and make the final decision as to whether a retake is allowed or not. A student may petition the PHDC to change one or more members of the QE committee, but approval of the request will be at the PHDC’s discretion.

If the request for a retake is approved, the QE committee will determine the date for the second attempt. If the student is not allowed to retake the exam, the student will not be allowed to continue in the PhD program in the following semester. If the student does not pass the qualifying exam on the second attempt, or otherwise does not satisfy the conditions given to them upon failing the exam the first time, the student will not be allowed to continue in the PhD program in the following semester. If a student has passed the QE and then changes their area of research, the student need not retake the QE.

Within 6 months of passing the QE, each student is required to form a dissertation guidance committee. This committee must be approved by the student’s research adviser and by the PHDC. The committee must include at least four members, including the research adviser. The committee members can be CSE faculty, faculty from other departments at NYU, or individuals of like standing from outside the university. At least one member of the dissertation guidance committee must be a tenured or tenure-track CSE faculty member, and at least one member of the committee must be from outside the CSE department. The committee chairperson may or may not be the research adviser but must be a tenured or tenure-track faculty member in Tandon or have a cross-appointment of at least Associate level.

By the end of the student’s fifth semester in the program, the student and committee must set a tentative date for the dissertation proposal presentation. The presentation must be done prior to the start of the student’s seventh semester in the program.

Before finalizing the date of the presentation, the student must submit a written dissertation proposal to the dissertation guidance committee which should include:

• a description of the research topic
• an explanation of how the research will advance the state of the art, and
• a tentative research plan

After the dissertation guidance committee has approved the dissertation proposal, the student should schedule the dissertation proposal presentation and notify the PHDC Chair once this has been finalized. The presentation should be announced to the faculty by the PHDC Chair at least one week before it occurs. The presentation is open to all faculty. It may also be open to others at the discretion of the research adviser.

Substantial subsequent changes to the dissertation topic must be approved by the dissertation guidance committee.

The last, and most substantial, aspect of the PhD program is the dissertation. The research for the dissertation should be conducted in close consultation with the research adviser. When the adviser determines that the student is ready to defend the dissertation, a dissertation defense will be scheduled. For the defense, the student will give an oral presentation describing the dissertation research, which is open to the public. Following the oral presentation and an initial question and answer session, the dissertation committee and CSE faculty may ask the student further questions in a closed session.

All PhD students will be formally reviewed each year in a PhD Student Assessment Meeting. The review is conducted by the entire CSE faculty and includes at least the following items (in no particular order):

• All courses taken, grades received, and GPAs.
• Research productivity: publications, talks, software, systems, etc.
• Faculty input, especially from advisers and committee members.
• Student’s own input.
• Cumulative history of the student’s progress.

As a result of the review, each student will be placed in one of the following two categories, by vote of the faculty:

• In Good Standing: The student has performed well in the previous semester and may continue in the PhD program for one more year, assuming satisfactory academic progress is maintained.
• Not in Good Standing: The student has not performed sufficiently well in the previous year. The consequences of not being in good standing will vary, and may include being placed on probation, losing funding, or not being allowed to continue in the PhD program.

Following the review, students will receive formal letters which will inform them of their standing. The letters may also make specific recommendations to the student as to what will be expected of them in the following year. A copy of each student’s letter will be placed in the student’s file.

Sample Plan of Study

Learning Outcomes

Upon successful completion of the program, graduates will have:

• A broad knowledge of computer science.
• The ability to conduct original research in computer science.
• The ability to present their research in written papers and oral presentations.

NYU Policies

Tandon policies.

University-wide policies can be found on the New York University Policy pages .

Additional academic policies can be found on the  Tandon academic policy page . 

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