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.
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:
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:
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.
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Program description, additional entrance requirements, gre requirements.
We offer a highly adaptive MS in Computer Science program that lets students shape the degree around their interests. Besides our core curriculum in the fundamentals of computer science, students have a wealth of electives to choose from. Students can tailor their degree to their professional goals and interests in areas such as cybersecurity, data science, information visualization, machine learning and AI, graphics, game engineering, responsible computing, algorithms, and web search technology.
Job opportunities in computer science are challenging and diverse, and we expect to see steady demand for highly qualified graduates at all levels. Our graduates are prepared to explore careers in areas such as applications programming, big data, software engineering, game design and programming, peer-to-peer networks, computer vision and imaging, machine learning and AI, urban computing, and interactive data visualization.
With our MS program in Computer Science, students will have significant curriculum flexibility, allowing them to adapt their program to their ambitions and goals as well as to their educational and professional background. Students will gain a solid grounding in the fundamentals of computer science, along with access to professional-level courses, and an opportunity to specialize in subareas of their choice.
To apply for admission to any Tandon graduate program, please contact the Office of Graduate Admissions .
Admission to this program requires applicants to have an undergraduate degree in computer science, mathematics, science, or engineering, with a superior undergraduate record from an accredited institution. Applicants with degrees in other fields may also be considered for admission.
Students entering with a bachelor’s in computer science or with a bachelor’s in a technical area and a strong minor in computer science should be able to satisfy entrance requirements for the master’s degree program. Generally, entering students are expected to know mathematics through calculus.
A maximum of 9 credits from previous graduate work at an accredited institution may be transferred to the MS degree.
Students with an undergraduate background in a field outside of computer science or a related area of study are encouraged to enroll into the preparatory NYU Tandon Bridge program . Upon successfully completing the Bridge program, students could then be considered for admission to the master's.
Applicants who satisfy one of the following conditions are not required but encouraged to submit a GRE score:
Note: not all courses are offered every semester.
Course | Title | Credits |
---|---|---|
Algorithms Requirement | ||
Design and Analysis of Algorithms I | 3 | |
or | Design and Analysis of Algorithms II | |
Core Requirements | ||
Select at least four of the following: | 12 | |
Software Engineering I | ||
Principles of Database Systems | ||
Introduction to Operating Systems | ||
INFORMATION VISUALIZATION | ||
Programming Languages | ||
Big Data | ||
Artificial Intelligence I | ||
COMPUTER VISION | ||
ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
Information, Security and Privacy | ||
Computer Networking | ||
Machine Learning | ||
Capstone | ||
Select one of the following: | 3 | |
Foundation of Data Science | ||
Software Engineering I | ||
Big Data | ||
Penetration Testing and Vulnerability Analysis | ||
Artificial Intelligence I | ||
COMPUTER VISION | ||
Network Security | ||
Artificial Intelligence for Games | ||
Application Security | ||
MS THESIS IN COMPUTER SCIENCE | ||
Computer Science Electives | ||
Select two (6 credits) of the following: | 6 | |
Foundations of Computer Science | ||
Design and Analysis of Algorithms I | ||
Design and Analysis of Algorithms II | ||
Foundation of Data Science | ||
Software Engineering I | ||
Principles of Database Systems | ||
Introduction to Operating Systems | ||
INFORMATION VISUALIZATION | ||
LARGE-SCALE VISUAL ANALYTICS | ||
Programming Languages | ||
Big Data | ||
Human Computer Interaction | ||
Game Design | ||
Penetration Testing and Vulnerability Analysis | ||
Artificial Intelligence I | ||
COMPUTER VISION | ||
Computational Geometry | ||
Theory of Computation | ||
ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
Information Systems Security Engineering and Management | ||
Information, Security and Privacy | ||
Network Security | ||
Computer Networking | ||
Applied Cryptography | ||
Web Search Engines | ||
Machine Learning | ||
Artificial Intelligence for Games | ||
DEEP LEARNING | ||
Digital Forensics | ||
Application Security | ||
ADVANCED PROJECT IN COMPUTER SCIENCE | ||
MS THESIS IN COMPUTER SCIENCE | ||
Free Electives | ||
Select 6 credits courses of your choosing. | 6 | |
Total Credits | 30 |
Most students will take the Algorithms I course to satisfy the algorithms course requirement. Students are expected to have knowledge of Discrete Math equivalent to CS-GY 6003 Foundations of Computer Science prior to taking the Algorithms I course. Students lacking that knowledge may be required to take CS-GY 6003 Foundations of Computer Science . Advanced students who previously took an equivalent Algorithms I course, and received a grade of at least A-, may want to take the Algorithms II course to satisfy the requirement.
The list will be periodically updated by the CSE Department and certain courses may be substituted with departmental consent.
These can be additional courses from the previous lists, or courses from other departments and schools at NYU. However, these cannot be courses offered by the School of Professional Studies.
The MS in Computer Science has several specific GPA requirements. 1. Core GPA : A core GPA of 3.0 or higher is required in the algorithms and core courses. The core GPA is calculated based on the grades earned in these five courses. 2. Capstone GPA : A GPA of 3.0 or higher is required in the capstone course. This is achieved by earning a grade of B or higher in the capstone course. 3. Cumulative GPA : A cumulative GPA (overall GPA) of 3.0 or higher is required in all graduate courses taken.
Some core courses may also count as capstone courses. These are those courses that appear on both the core and capstone lists above. Students may choose to use a core course to also satisfy the capstone requirement, if the grade earned in the course is B or higher. If the student chooses this option, the student must then take an additional computer science elective, so that the student may earn the required 30 credits needed for the MS degree. All students must earn 30 credits to graduate.
The particular courses that a student takes during the program will vary according to the student’s interests and background, course offerings, and whether the student does an internship. The following are two sample courses of study. These are just samples meant to help in planning the courses for the degree. Individual course plans may differ depending on when courses are offered.
Sample course plan for a student not doing an internship and taking CS-GY 6003 Foundations of Computer Science .
1st Semester/Term | Credits | |
---|---|---|
Foundations of Computer Science (computer science elective) | 3 | |
Principles of Database Systems (core) | 3 | |
Programming Languages (core) | 3 | |
Credits | 9 | |
2nd Semester/Term | ||
Design and Analysis of Algorithms I (algorithms requirement) | 3 | |
COMPUTER VISION (core) | 3 | |
Free Elective | 3 | |
Credits | 9 | |
3rd Semester/Term | ||
Software Engineering I (core) | 3 | |
Big Data (capstone) | 3 | |
Machine Learning (computer science elective) | 3 | |
Credits | 9 | |
4th Semester/Term | ||
Information, Security and Privacy (free elective) | 3 | |
Credits | 3 | |
Total Credits | 30 |
Sample course plan for a student doing internships and not taking CS-GY 6003 Foundations of Computer Science .
1st Semester/Term | Credits | |
---|---|---|
Design and Analysis of Algorithms I (algorithms requirement) | 3 | |
Principles of Database Systems (core) | 3 | |
Programming Languages (core) | 3 | |
Credits | 9 | |
2nd Semester/Term | ||
Software Engineering I (core) | 3 | |
COMPUTER VISION (core) | 3 | |
Free Elective | 3 | |
Credits | 9 | |
3rd Semester/Term | ||
Internship for MS I (free elective, often taken in the summer term) | 1.5 | |
Credits | 1.5 | |
4th Semester/Term | ||
Big Data (capstone) | 3 | |
Machine Learning (free elective) | 3 | |
Computer Science Elective | 3 | |
Credits | 9 | |
5th Semester/Term | ||
Internship for MS II (free elective) | 1.5 | |
Credits | 1.5 | |
Total Credits | 30 |
Upon successful completion of the program, graduates will:
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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Curriculum. To receive a Ph.D. in Computer Science at the NYU Tandon School of Engineering, a student must: satisfy all School of Engineering requirements for the Ph.D. degree, as described in the NYU Tandon School of Engineering bulletin, including graduate study duration, credit points, GPA, and time-to-degree requirements.
Yes, students may pursue their PhD research abroad with NYU faculty in Abu Dhabi or Shanghai. You can indicate your interest in these campuses within the Tandon Graduate Admissions portal where prompted. Doing so will mean you will be considered for admission to these campuses, in addition to Brooklyn, unless you indicate a sole preference.
Students can use any graduate course at NYU as free choice courses, but must obtain advisor approval to use a course not on the approved list. Students cannot use independent study courses (such as Advanced Project CS-GY 9963 or Readings in Computer Science, CS-GY 9413 and CS-GY 9423) or dissertation.
General Requirements. To be eligible for consideration to any graduate program at NYU Tandon, you must hold a four-year U.S. Bachelor's degree from a regionally accredited U.S. institution, or its international equivalent. We do not accept undergraduate degrees that are equivalent to three years of study. However, degrees that are completed ...
PhD Hub, Room 212. Tandon School of Engineering. New York University. 5 MetroTech Center. Brooklyn, NY 11201. Phone: +1 (646) 997 - 3907. Welcome to the PhD Hub at Tandon! We are a comprehensive support resource for Tandon's PhD student community. We assist students in fulfilling requirements, professional development, connecting to resources.
GPA and Grade Requirements. 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.
To receive a PhD in Computer Science at NYU, a student must: 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.
Please mail all of your application materials to: NYU Tandon School of Engineering. Graduate Admissions Processing Center. 458 Pike Road. Huntingdon Valley, PA 19006. [email protected]. Phone: (646) 997-3182. Visit Tandon.
NYU Tandon Bridge. The 100% online NYU Tandon Bridge course prepares students without a Computer Science degree or other substantial programming experience to apply for select NYU Tandon master's degree programs. In the course, students will learn computer science fundamentals and programming with C++.
PhD Hub, Room 212. Tandon School of Engineering. New York University. 5 MetroTech Center. Brooklyn, NY 11201. Phone: +1 (646) 997 - 3907. Welcome to the PhD Hub at Tandon! We are a comprehensive support resource for Tandon's PhD student community. We assist students in fulfilling requirements, professional development, connecting to resources.
NYU has two excellent computer science departments, one in the Tandon School of Engineering and one in the College of Arts and Science (CAS). Both offer degree programs at the undergraduate, masters and Ph.D. level and have vibrant research programs. Graduates of both programs have excellent job prospects and are well prepared for graduate study.
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.
MS, PhD and Advanced Certificate applicants: Please be sure that you have reviewed the application requirements and follow all application deadlines. Tandon Bridge application: Please be sure that you have reviewed the application requirements and follow all application deadlines.When you are prepared, use this form to begin the application for the Tandon Bridge.
satisfy all requirements for the PhD degree, as described in the NYU Tandon School of Engineering bulletin, including graduate study duration, credit points, GPA, and time-to-degree requirements. Upon entering the program, each student will be assigned an advisor who will guide them in formulating an individual study plan directing their course ...
Graduate certificate programs must be completed within 3 years from the time of admission to graduate studies at NYU Tandon. M.S. and M.E. Students. M.S. and M.E. degree programs must be completed within 5 years from the beginning of graduate studies at NYU Tandon. Ph.D. Students Admitted Prior to Spring 2019
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 ...
PhD Hub, Room 212. Tandon School of Engineering. New York University. 5 MetroTech Center. Brooklyn, NY 11201. Phone: +1 (646) 997 - 3907. Welcome to the PhD Hub at Tandon! We are a comprehensive support resource for Tandon's PhD student community. We assist students in fulfilling requirements, professional development, connecting to resources.
MS Applicants without a Computer Science or similar background who successfully complete the . Applicant completes 9 credits under from an approved list of CSE courses and maintains an average grade of B+ or better. Applicant has a BA or BS degree in computer science or computer engineering from NYU, with a GPA of 3.0 or higher. Course List.
Civil Engineering, Ph.D. Growing and established cities are continually meeting new infrastructure needs and maintaining older systems, such as highways, bridges, and airports. Tandon's Ph.D. in Civil Engineering program produces graduates dedicated to enriching the field. On Campus.
To satisfy the requirements for the master's degree, the student must complete 30 credits, as described below, with an overall average of B. ... The NYU Tandon Bridge course is taught by faculty members of the Computer Science department at the NYU Tandon School of Engineering, aided by NYU Tandon Graduate student teaching assistants ...
Entrance Requirements. Admission to the MS program requires a bachelor's degree in computer engineering, electrical engineering or computer science from an accredited institution. Students without such prior degrees must complete appropriate undergraduate courses to remove any deficiencies in preparation.
For general admissions inquiries for the PhD and MS programs, including troubleshooting the online application: [email protected]. For admissions inquiries specific to the MS in Computer Science or Information Systems: [email protected]. For information regarding open houses for prospective Master's students:
NYU Tandon decisions. If you have received a decision from NYU Tandon for MS CS, can you all please share your decision and profile if it's okay. Status: Rejected GRE: 318 (Q: 165, V: 153) TOEFL: 108 CGPA: 9.1 Tier 2 college, India Work Ex: 2 years. Honestly thought NYU was a safe - moderate choice.
Aaron Bernstein. Charles S. Baylis Associate Professor, Computer Science and Engineering "There's a certain freedom in working on a problem that's been open for a long time," Aaron Bernstein, one of the newest faculty members in the Department of Computer Science and Engineering, has said. He was alluding to what is known as the negative-weight shortest-paths problem — a conundrum ...