phd requirements nyu

NYU Stern Doctoral Program

Our programs.

Pre-Doctoral The Stern Pre-Doctoral program seeks to promote a diverse, scholarly environment and encourage promising individuals from under-represented or non-typical backgrounds (personal, academic, or employment) to enter the academic profession.

NYU Stern's doctoral students thrive in an atmosphere of intellectual rigor and creative collaboration. We cultivate colleagues. Most graduates go on to become top rate scholars who advance state of the art research in their fields.

Stern invites outstanding doctoral students from distinguished universities abroad to engage in research and scholarly interaction at Stern for one or two semesters.

Stern's PhD Program by the Numbers

(as of September 2021)

(as ranked by UT Dallas, Research Contributions 2017-2021 in leading business journals)

(as ranked by the Financial Times, 2015)

Doctor of Philosophy

The Institute of Fine Arts is dedicated to graduate teaching and advanced research in the history of art and archeology and in the conservation and technology of works of art. The Institute strives to give its students not only a sound knowledge in the history of art, but also a foundation in research, connoisseurship, and theory as a basis for independent critical judgment and research. The student following the PhD course of study gains a deeper understanding of a subject area, beyond what is normally acquired at the master’s level and develops a capacity for independent scholarship. The PhD Program at the Institute of Fine Arts is a course of study designed for the person who wants to investigate the role of the visual arts in culture through detailed, object-based examination as well as historical and theoretical interpretation. The degree program provides a focused and rigorous experience supported by interaction with the leading scholars of the Institute, and access to New York area museums, curators, conservators, archaeological sites and NYU’s global network. The program is designed for up to six years of full-time funded study. A total of 18 courses (72 points) are required for the PhD degree. Each student registers for three courses per semester for the first five semesters. One course in the fifth semester is dedicated to developing the dissertation proposal. In the sixth semester students register for 12 points devoted preparing for the oral exam and beginning work on the dissertation. Exceptions to full-time study are made only for urgent financial or medical reasons and must have the approval from the Director of Graduate Studies.

Distribution Requirements

Students must take at least one seminar in four fields outside of their area of specialization. The Proseminar may count as one of these seminars. Students are required to take one course in technical studies of works of art. The minimum total seminars for PhD students is six. Students may take courses in other relevant disciplines in consultation with their advisor, and subject to the approval of the Director of Graduate Studies.

Distribution requirements are met by choosing courses in the following fields:

• Pre-modern Asia
• Pre-modern Africa and the Middle East
• The Ancient Mediterranean and Middle East, including
• Pre-modern Europe and the Americas
• Post-1750 Global
• Museum and Curatorial Studies
• Technical Studies of Works of Art
• Architectural History

Course Definitions and Requirements

Proseminar : The purpose of the Proseminar is to introduce students in the doctoral program to advanced research methods in the history of art. Because it is a dedicated course for the entering PhD student, it will serve to consolidate the cohort. It is taken during the first semester and is taught by a rotation of the Institute faculty, with a different faculty member chosen each year. Emphasis is placed on the specific practices of art-historical analysis in relation to visual and textual interpretation. The contents of the seminar vary each year according to the research interests of the chosen instructor. The class is structured around specific problems in the history of art rather than broad conceptual paradigms, with an emphasis on historical interpretation. Colloquium: A colloquium provides an analysis or overview of the state of the literature on a given art historical topic or problem, with extensive reading, discussion, and presentations. There may be a final paper.

Seminar: A seminar is a focused advanced course that explores a topic in depth. Seminars are often based on an exhibition in the New York area. Students are expected to produce a substantive paper that demonstrates original research. Lecture: Lecture courses explore topics or historical periods, giving overviews of major issues as well as detailed analysis of specific problems and works of art. Students are responsible for assigned and recommended reading, and may produce short papers and/or take an exam.

Curatorial Track

This doctoral-level program is offered jointly by the Institute of Fine Arts and The Metropolitan Museum of Art, under the supervision of the Joint Committee on Curatorial Studies composed of faculty, curators, and the Directors of both institutions. The purpose of the program is to prepare students for curatorial careers in specialized fields. Students are required to take two courses in Curatorial Studies, which are taught at the Metropolitan Museum of Art, before being offered an internship at the Museum.

Language Requirement

PhD students must demonstrate proficiency in reading two modern research languages other than English that are relevant to their studies. Proficiency is demonstrated by passing an examination administered by the Institute of Fine Arts. International students focusing on a field of study in which their native language is relevant may be granted an exemption from the language requirement pending submission of an exemption form signed by their advisor and the Director of Graduate Studies.

Qualifying Paper

The Qualifying Paper may be developed from seminar work or might be on a topic devised in consultation with the student’s advisor. Normally, the student will be advised to produce a detailed study on a subject that leads towards the dissertation. It should be no longer than 10,000 words (excluding bibliography and footnotes).

Students are examined on a major field consisting of two contiguous areas and a third component that can be in a related field providing skills for their dissertation.

Students are encouraged to teach after passing the second year review. Opportunities for teaching at NYU and at other New York area colleges and universities will be coordinated by the Director of Graduate Studies.

PhD students are funded for up to six years, depending on the transfer of previous graduate work. The program is normally divided into three years of course work, exams, and submission of a dissertation proposal and three years for dissertation research and writing. Variations to this pattern might occur according to opportunities for students to develop skills or experience in their specialist fields, as approved by the student’s advisor and the Director of Graduate Studies. Students are encouraged to compete for outside fellowships. The award of such fellowships might extend the number of years taken to complete the program. Institute funding will be suspended during the period of outside fellowship support.

Students Entering with a Master’s Degree

To receive the PhD degree, all Institute requirements must have been fulfilled, including a Master’s thesis (of copy of which is submitted with the application), and a distribution of courses within areas of study that correspond to those outlined in Distribution Requirements. No credits will be automatically transferred; credit will be awarded based upon evaluation by the Institute Faculty at the First Year Course Review. In addition, at least one written comprehension exam in a foreign language must have been passed. The student entering with a MA degree must pass an exam in a second language, if not yet attained, by the end of his/her first year of study. Entering students who have been awarded an MA at the Institute will begin as third year PhD students. They are expected to have a distribution of courses that meet the Course Distribution for the PhD and are required to pass a written comprehension exam in a second language.

Degree Requirements

PhD | Masters Degree | Conservation

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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

Management and Organizational Behavior (PhD)

Program description.

Stern’s PhD program in management prepares students to understand how organizations need to compete in challenging and volatile business environments and how managers must manage in complex and changing workplaces. The training is broad based and interdisciplinary, drawing on the fields of economics, psychology, and sociology. Areas of focus within the management doctoral program at Stern include strategy, the study of the competitive dynamics of firm performance; organizational behavior, the study of the behavior of individual employees and managers within organizations; and organization theory, the study of organizational structures and processes.

All applicants to the NYU Stern School of Business PhD Program are required to submit a complete application for admission. A complete application includes the  online application ,  statement of purpose ,  optional essay ,  educational history and resume or CV ,  letters of recommendation ,  test scores ,  academic transcripts , and an  application fee .

See How to Apply for admission requirements and instructions specific to this program.

Program Requirements

The program requires the completion of at least 36-54 credits, and students may choose one of three specializations.

Curriculum Details

Although every doctoral student must satisfy general requirements, each student designs and completes an individual program of study.

Each new doctoral student begins a program of study, which requires approval from the Area Coordinator and the Doctoral Office. Any unusual features or revisions of an approved program of study requires permission from both the department Area Coordinator and the Doctoral Office. Unless specifically approved in advance by the Area Coordinator and the Doctoral Office, MBA courses will not be eligible for tuition remission.

The general PhD degree requirement for students entering the program with a Master’s degree or equivalent is to successfully complete a minimum of 36 credits. The requirement for students entering the program with only a Bachelor’s degree is to successfully complete a minimum of 54 credits. If the Doctoral Office and the department Area Coordinator approve, a program of study may include previous graduate work at NYU or other universities. In all cases, students must complete at least 33 credits of coursework at NYU.

An approved program of study becomes part of the student’s permanent academic file and represents a formal commitment by both the student and the school. Any approved program can be modified as appropriate.

A complete program of study must include:

• Prerequisites: Every student must satisfy the prerequisites in calculus, linear algebra, basic probability and statistics, and economics before starting doctoral study. This can be accomplished by taking courses in these subjects for a grade.
• Basic Research Skills Methodology Courses: Every student must complete four research methodology courses, including three courses in probability and statistics, and one course in microeconomics.
• Major Specialization & Elective Courses: Every student must complete the prescribed program of courses in their major specialization, as well as elective courses.

Specialization Requirements

Organizational behavior.

Organization Theory

Additional Program Requirements

Program of study.

Successfully complete a program of study, including completion of prerequisite coursework, basic research skills methodology courses, and major field of study and elective courses.

Comprehensive Examination

Successfully pass the comprehensive examination(s) required in the student’s area of study.

Teaching Workshop

Attend the Teaching Workshop and receive certification to teach an undergraduate course.

Teaching Preparations

Successful completion of the teaching practica as described in the PhD Handbook.

Teach an Undergraduate Course

Teach one undergraduate course or the equivalent during the 4th year of study.

Dissertation Proposal

Initiate a major piece of original research and present it for faculty approval.

Dissertation Defense

Complete a satisfactory dissertation and defend it successfully at the defense presentation. The research is the extension and completion of the research presented at the dissertation proposal.

Sample Plan of Study

Learning Outcomes

Upon successful completion of the program, graduates will:

• Acquire a broad working knowledge of their field of study.
• Acquire advanced knowledge in a specific field of research.
• Conduct independent research.
• Be skilled presenters of academic research.
• Be skilled teachers.

NYU Policies

Stern policies.

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

Additional academic policies can be found on the Stern Graduate Academic Policies page . 

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How to apply phd, psychology and social intervention.

Prepare for a career as a psychologist who performs socially relevant research. In this doctoral program, you’ll complete a rigorous core curriculum; engage heavily with research; and work collaboratively with faculty mentors to learn how schools, childcare programs, neighborhoods, policies, workplaces, and social service agencies influence health and behavior.

Official Degree Title

Application Deadline

Admissions Information

Program Information

Admissions Requirements

You must have a BA and/or MA in Psychology or a related field.

How to Apply

These instructions and requirements are for all applicants. If you are not a citizen or a permanent resident of the United States, please read the  special instructions for international applicants .

1. Prepare Your Application

Your application will require the following items. The following are acceptable document types for uploads: .pdf, .jpeg, .jpg, .gif, .tiff, .png, .doc, .docx, and bitmap.

You are required to upload a copy of your most recent résumé or curriculum vitae as part of your application.

Statement of Purpose

You are required to upload a typed, double-spaced, two- to three-page statement explaining your purpose in undertaking graduate study in this particular program as part of your application. This is your opportunity to introduce yourself and to inform the admissions committee about your goals, interests, and career plans as they relate to your intended academic pursuits.

Include your research interests and prior research experience; evidence of interest in human ecologies, systems-level interventions, and/or policy interventions and analysis; and a description of your career goals.

Letters of Recommendation

Submit  three  letters of recommendation. Be sure to request them well in advance of the deadline. Read  detailed instructions .

Transcripts

Upload one official copy of transcripts from every postsecondary school you have attended or are attending. Make sure to request them in advance of the deadline.

If you completed or are completing a degree at an institution outside of the US or Canada, you are required to provide a WES or ECE evaluation. Please review our requirements for translation and a course-by-course evaluation of your transcripts.

See  detailed instructions on submitting transcripts .

Not required.

Although the GRE is typically required for this program, for the 2024 admissions cycle GRE scores will not be required. For more information see  testing requirements .

Proficiency in English

See  testing requirements .

Interview Date

The interview date for the 2024 cycle will be Friday, February 9, 2024 .

Application

Start your application now

After you fill in and upload the required information, you can submit your completed application.  Your application must be completed, dated, electronically signed, and submitted by 11:59 p.m. EST of the stated deadline.

Application Fee

You will be prompted to pay a $75 application fee, payable by major credit card only. After submitting your payment, you will see your application status change from “saved” to “submitted.” Please print this screen for your records, as it confirms that your application has been successfully sent to our school. If you have problems submitting your payment, please contact the Office of Graduate Admissions. Learn more about our  fee waiver policy .

Mailing Additional Items

If any application materials need to be mailed to our office, mail the materials to NYU Steinhardt, Office of Graduate Admissions, 82 Washington Square East, 3rd Floor New York, NY 10003-6680.  Please do not mail your materials in binders or folders. Any mailed materials must be  received by, not postmarked by, the stated deadline . Only completed applications will be considered and reviewed by the Admissions Committee. Due to high volume, we are unable to confirm receipt of mailed materials.

Application Policies

Application deadlines are "in-office" deadlines, not postmark deadlines.  It is your responsibility to ensure that all materials are in the Office of Graduate Admissions by the appropriate deadline, and we reserve the right to return any application that arrives after the deadline. Only completed applications will be considered. Should a deadline fall on a weekend, the in-office deadline will be the next business day. We advise you to apply early.

Please check the online system to confirm that you have successfully submitted your application.  Due to the volume of applications and related materials received, the Office of Graduate Admissions will only contact you if your application was successfully submitted and is deemed incomplete because of missing required materials. Otherwise, you will hear from us when the admissions committee has made its decision.

Deferral policy:  NYU Steinhardt does not allow deferrals. Applicants who wish to be considered for a future semester must reapply by submitting a new application with all supporting materials, including letters of recommendation, by the application deadline.

3. Receive Your Admission Decision

You will be notified about your decision by email. Typically, decisions will start going out in late March or early April for fall enrollment. You may learn of your decision before or after this timeline.

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Ph.D. Program in Mathematics

Degree requirements.

A candidate for the Ph.D. degree in mathematics must fulfill a number of different departmental requirements.

NYU Shanghai Ph.D. Track

The Ph.D. program also offers students the opportunity to pursue their study and research with Mathematics faculty based at NYU Shanghai. With this opportunity, students generally complete their coursework in New York City before moving full-time to Shanghai for their dissertation research. For more information, please visit the  NYU Shanghai Ph.D. page .

Sample course schedules (Years 1 and 2) for students with a primary interest in:

Applied Math (Math Biology, Scientific Computing, Physical Applied Math, etc.)

Additional information for students interested in studying applied math is available here .

Probability

PDE/Analysis

The Written Comprehensive Examination

The examination tests the basic knowledge required for any serious mathematical study. It consists of the three following sections: Advanced Calculus, Complex Variables, and Linear Algebra. The examination is given on three consecutive days, twice a year, in early September and early January. Each section is allotted three hours and is written at the level of a good undergraduate course. Samples of previous examinations are available in the departmental office. Cooperative preparation is encouraged, as it is for all examinations. In the fall term, the Department offers a workshop, taught by an advanced Teaching Assistant, to help students prepare for the written examinations.

Entering students with a solid preparation are encouraged to consider taking the examination in their first year of full-time study. All students must take the examinations in order to be allowed to register for coursework beyond 36 points of credit; it is recommended that students attempt to take the examinations well before this deadline. Graduate Assistants are required to take the examinations during their first year of study.

For further details, consult the page on the written comprehensive exams .

The Oral Preliminary Examination

This examination is usually (but not invariably) taken after two years of full-time study. The purpose of the examination is to determine if the candidate has acquired sufficient mathematical knowledge and maturity to commence a dissertation. The phrase "mathematical knowledge" is intended to convey rather broad acquaintance with the basic facts of mathematical life, with emphasis on a good understanding of the simplest interesting examples. In particular, highly technical or abstract material is inappropriate, as is the rote reproduction of information. What the examiners look for is something a little different and less easy to quantify. It is conveyed in part by the word "maturity." This means some idea of how mathematics hangs together; the ability to think a little on one's feet; some appreciation of what is natural and important, and what is artificial. The point is that the ability to do successful research depends on more than formal learning, and it is part of the examiners' task to assess these less tangible aspects of the candidate's preparation.

The orals are comprised of a general section and a special section, each lasting one hour, and are conducted by two different panels of three faculty members. The examination takes place three times a year: fall, mid-winter and late spring. Cooperative preparation of often helpful and is encouraged. The general section consists of five topics, one of which may be chosen freely. The other four topics are determined by field of interest, but often turn out to be standard: complex variables, real variables, ordinary differential equations, and partial differential equations. Here, the level of knowledge that is expected is equivalent to that of a one or two term course of the kind Courant normally presents. A brochure containing the most common questions on the general oral examination, edited by Courant students, is available at the Department Office.

The special section is usually devoted to a single topic at a more advanced level and extent of knowledge. The precise content is negotiated with the candidate's faculty advisor. Normally, the chosen topic will have a direct bearing on the candidate's Ph.D. dissertation.

All students must take the oral examinations in order to be allowed to register for coursework beyond 60 points of credit. It is recommended that students attempt the examinations well before this deadline.

The Dissertation Defense

The oral defense is the final examination on the student's dissertation. The defense is conducted by a panel of five faculty members (including the student's advisor) and generally lasts one to two hours. The candidate presents his/her work to a mixed audience, some expert in the student's topic, some not. Often, this presentation is followed by a question-and-answer period and mutual discussion of related material and directions for future work.

Summer Internships and Employment

The Department encourages Ph.D. students at any stage of their studies, including the very early stage, to seek summer employment opportunities at various government and industry facilities. In the past few years, Courant students have taken summer internships at the National Institute of Health, Los Alamos National Laboratory, Woods Hole Oceanographic Institution, Lawrence Livermore National Laboratory and NASA, as well as Wall Street firms. Such opportunities can greatly expand students' understanding of the mathematical sciences, offer them possible areas of interest for thesis research, and enhance their career options. The Director of Graduate Studies and members of the faculty (and in particular the students' academic advisors) can assist students in finding appropriate summer employment.

Mentoring and Grievance Policy

For detailed information, consult the page on the Mentoring and Grievance Policy .

Visiting Doctoral Students

Information about spending a term at the Courant Institute's Department of Mathematics as a visiting doctoral student is available on the Visitor Programs  page.

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Ph.D. Program

Ph.d. program in politics.

The Ph.D. program in Politics is an intellectually vibrant home for students interested in pursuing academic careers focused on the analytically rigorous study of politics. The program offers a wide range of opportunities to learn from and work with leading scholars in American Politics, Comparative Politics, Political Economy, International Relations, Political Theory, and Methodology, through substantive and methods seminars, research workshops, closely supervised research projects, and scholarly collaborations that often extend well past the end of graduate training.

Our program is unusual in its international diversity. Almost 70% of our current students come from places outside the U.S., including from countries as far-flung as Benin, Korea, Chile, China, Mexico, Russia, and Italy – just to take some examples.

Our job placement record is one of the most successful in the discipline. Recent placements include tenure-track appointments at Stanford, University of Chicago, University of Rochester, Washington University in St. Louis, University of Southern California, UCSD, Georgetown, UC Berkeley, ITAM, Texas 2 A&M, Emory, Vanderbilt and other leading research universities, and postdoctoral appointments at Princeton, LSE, the Harris School, UCSD, IAS-Toulouse, and others.

This Handbook , which was put together with invaluable help from our Ph.D. program staff, lays out some details of the expectations and requirements of the program and provides a guide for students and faculty to various logistical details related to the doctoral training in the Department.

Gwyneth McClendon Associate Professor of Politics Director of Graduate Studies

For Students and Faculty

The program is summarized by the Politics Doctoral Program Handbook . The Spring 2024 Course Schedule has now been published. Additional information for current students and faculty, including the workshop sign-up sheet and forms, can be found on the Ph.D. program Google site .

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Program Income for Sponsored Programs

Section 1: Introduction

• Purpose of the Handbook
• GNU Policies and Procedures
• Principal Investigator's Responsibility

Section 2: Proposal and Budget Development

• Charging Administrative Expenses
• Accounting for Unallowable Costs
• Application of Facilities and Administrative (F&A) Cost Rates
• Facilities and Administrative (F&A) Cost Waivers
• Personnel Costs
• Fringe Benefit Rates
• Institutional Base Salary
• Cost Sharing

Section 3: Managing Awards

• Opening or Modifying a Project
• Re-budgeting
• Prior Approvals
• No-Cost Extension
• Cost Transfers
• Effort Reporting
• Salary Cap Administration
• Program Income
• Clinical Trials Financial Management
• Managing Sponsor Payments

Section 4: Travel and Procurement

• Domestic and Foreign Travel
• Memberships, Subscriptions, and Professional Activities
• Managing Subawards
• Small Business Program
• Managing Equipment Acquired with Federal Funding
• Recharge Center Policy

Section 5 Closing an Award

• Financial Reporting
• Award Closeout
• Internal and External Audits
• Financial Record Retention

NYU Policy: Program Income Policy for Sponsored Programs

Full Policy & Downloadable PDF available at the University Policy Website.

Program income is gross income earned by the recipient that is directly generated by a supported activity or earned as a result of a sponsored award. When NYU engages in such activities, program income must be accounted for in the manner prescribed by sponsor regulations and NYU’s Policy.

NYU Approach

For federal awards, program income can be managed in the following ways:

• Deduction . Ordinarily program income must be deducted from total allowable costs to determine the net allowable costs.
• Addition. With prior approval of the Federal awarding agency program income may be added to the Federal award by the Federal agency and the non-Federal entity.
• Cost sharing or matching With prior approval of the Federal awarding agency, program income may be used to meet the cost sharing or matching requirement of the Federal award. The amount of the Federal award remains the same.
• Income after the period of performance . The Federal awarding agency may negotiate agreements with recipients regarding appropriate uses of income earned after the period of performance as part of the grant closeout process.

For non-Federal awards, stipulations around program income should be addressed in the sponsor’s terms and conditions or by contacting the sponsor through the Office of Sponsored Programs (OSP). Proceeds from the sale of property shall be handled in accordance with the requirements of the Property Standards as defined in OMB Uniform Guidance, Sections 200.317 to 200.326

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Related Training

Open SPA 013: Program Income (NYUHome login required)

This learning module will discuss the Program Income for Sponsored Programs Policy as outlined in the SPA Handbook.

Duration: 6:00 minutes

The story begins here.

At the NYU Journalism Institute, we prepare independent voices.

NYU’s Arthur L. Carter Journalism Institute is for the curious , the restless investigators , the ones who never stop asking why .

They are guided by award-winning faculty who are major players in the industry, a diverse team whose talents and accomplishments have put them at the top of their field. NYU Journalism students experience their dedication firsthand, as they thrive in an environment that combines rigorous classroom learning with professional internships to produce inquisitive, career-ready journalists.

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Our faculty are drawn from the top working journalists in the United States. They represent every aspect of the field, from science reporting to cultural criticism, and work across print, digital, and audio platforms.

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The Heaven & Earth Grocery Store

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MA 2015, Washington Correspondent at NBC News

Career Services at NYU Journalism was absolutely the deciding factor for me in choosing this over other colleges. They were able to give me realistic and specific answers when I asked how they could help me find the kind of job I wanted to build my career.

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I choose NYU for so many reasons — but also because of its proximity to some of the best stories and internship opportunities in the world. I was born and raised here in New York, and grew up witnessing the truth in the phrase "if you can make it here you can make it anywhere." It seemed like a no-brainer.

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The Arthur L. Carter Journalism Institute offers many outstanding publishing platforms for its students and faculty. Among them are PressThink, Jay Rosen’s take on the media industry, and First Amendment Watch, which covers the many free speech and press conflicts going on today. Others like Pavement Pieces, The Click, and ScienceLine are associated with specific graduate concentrations. Still others are platforms for specific classes or for ambitious class reporting trips. They add up to many opportunities to publish outstanding work.

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Meet some of our students on Instagram. Come to our panels where we explore journalism, identity and issues that matter through a BIPOC lens. Engage with and tell us how we as a community can move forward in an inclusive and meaningful way.

Featured News

2023 SHERP Graduates Calli McMurray and Gina Jiménez-Rios Win Awards from the Association of Health Care Journalists

McMurray’s story was published in the Texas Observer, while Jiménez-Rios’ was published in The 19th and KFF Health News.

Shayla Love, a contributor the The Guardian and Psyche, has been named the winner of NYU Journalism’s Matthew Power Literary Reporting Award.

Love, the tenth winner of the annual award, is the first to hold a bachelor’s degree from NYU (in journalism and art history). She will use the grant to pursue a story on non-traditional, and controversial, pathways to develop new medications and health treatments.

Prof. Rachel L. Swarns Elected to the American Academy of Arts & Sciences

The Academy, founded in 1780, honors exceptional scholars elected through an extensive process, and sponsors academic research endeavors. Prof. Swarns was elected to Class V – Leadership, Policy, and Communications, under Section 1 - Journalism, Media, and Communications.

NewsDoc alum Giorgio Ghiotto won the Non Fiction Series student Emmy for his thesis documentary, Wings of Dust

Giorgio also won theThe Seymour Bricker Humanitarian Award, given to only one of the winners, with an award of $4000.  He follows in the footsteps of Shuhao Tse who won these award last year.

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Advising: Cybersecurity M.S.

Academic Advising information for the Cybersecurity M.S. (online program)

Related Links

On this page.

To complete the Cybersecurity M.S. program,  students are required to take:

• 4 core courses (12 credit hours)
• 3 breadth electives (9 credit hours)
• 3 depth electives (9 credit hours)

All Cybersecurity students are also required to complete a capstone project. It is recommended this course is taken in their final semester. Students can complete this requirement by taking one of the following courses: Information Systems Security Engineering & Management (CS-GY 6803), Application Security (CS-GY 9163), or Advanced Project in Computer Science (CS-GY 9963)

Policies for Cybersecurity M.S.

All Cybersecurity M.S students must adhere to all NYU university-wide and NYU Tandon graduate  academic policies including maintaining:

• 3.0 cumulative GPA in all coursework
• 3.0 cumulative GPA in core classes and capstone
• Continuous enrollment in the degree program (or receive an approved Leave of Absence)

In addition, all NYU Cyber Fellows are admitted into the Cybersecurity M.S. program under the admission condition, requiring students to earn a B or better in each of their first 2 courses:

• Information Security & Privacy (CS-GY 6813)
• Computer Networking (CS-GY 6843)

Failure to meet the admission condition results in academic disqualification.

*With sufficient justification and your advisor's approval, you will be permitted to withdraw from each conditional course (with W grade) one time without being academically disqualified.

Recommended Course Order

Courses are divided into categories: Core, Breadth Electives, Depth Electives. This course order suggests one course per semester. We always recommend seeking advising guidance as each person’s situation is unique, so we can help tailor a personalized plan that aligns with your goals. 

Course Offering Pattern

National centers of academic excellence (ncae-c) in cybersecurity designation tracks.

NYU Tandon School of Engineering is one of the select institutions recognized by the National Centers of Academic Excellence in Cybersecurity with designations in Cyber Defense and Cyber Operations .

The Cybersecurity M.S. degree allows students the opportunity to plan their course selection, within the curriculum requirements, following either the Cyber Defense or Cyber Operations tracks outlined below. Learn more about the  NSA-CAE Certificates .

CS-GY 6843 Computer Networking

CS-GY 6233 Intro to OS

CS-GY 6573 Pen Testing

CS-GY 6813 Information, Security and Privacy

CS-GY 6903 Applied Cryptography

CS-GY 9163 Application Security

CS-GY 6823 Network Security

CS-GY 6803 ISSE&M

CS-GY 9223 Mobile Security

CS-GY 9223 Offensive Security