Computer Science at NYU Shanghai is designed to create technological leaders with a global perspective, a broad education, and the capacity to think creatively. Computer science focuses on how to design, build, and effectively use the computers and systems that we interact with every day — from the iPhones in our hands to the complex databases in our banks and hospitals and to the self-driving cars of the future.
Requirements for the Major
Students can choose to follow the academic bulletin from the year that they were admitted or a more recent academic bulletin. For example, if you were admitted to NYU Shanghai in Fall 2019, you can choose to follow the academic bulletin 2019-2020, 2020-2021, and 2021-2022.
Planning the Major
To declare the Computer Science major, students must have a final grade of C, or be currently enrolled in the following courses in MATH-SHU 131 Calculus (or pass the "Place out of Calculus" exam) and CSCI-SHU 11 Introduction to Computer Programming (or CSCI-SHU 101 Introduction to Computer Science).
Faculty mentors are the leading faculty and experts in the major disciplines. Students can reach out to faculty mentors for specific questions about the major, and references for connecting with relevant discipline resources. If you have specific questions about specific fields of study within the major, you can search for faculty through the faculty directory.
Professor of Practice in Computer Science
What knowledge and skills will students acquire by majoring in Computer Science?
The Bachelor of Science in Computer Science is a rigorous program that not only covers fundamental computer science subjects - such as object-oriented programming, computer architecture, and operating systems – but provides a wide variety of elective courses, spanning artificial intelligence, game programming, natural language processing, information visualization, security and privacy, computer networking, machine learning, and smartphone application development.
What are post-graduation and career opportunities for Computer Science students?
Computer science graduates have a myriad of career paths, including: creating information technology products of the future at large and dynamic companies such as Google, Microsoft, Amazon, Apple or within exciting high-tech startups throughout the world. Entrepreneurship skills combined with computer science prowess can help in creating your own high-tech startup, pursuing careers in business or finance that leverage computer science expertise, or going on to do cutting-edge research in a PhD program. Household names such as Bill Gates, Mark Zuckerberg, Larry Page, Melisa Myers, Robin Li, and Kai-Fu Lee all began in computer science."
Students need to complete more than half of the courses required for the primary and secondary majors to declare their secondary major. No more than two courses may be double-counted between the majors.
Computer Science and Data Science Double Major Policies:
- Students matriculating in Fall 2022 or later will NOT be able to double major in Computer Science and Data Science.
- Students matriculating in Fall 2021 or prior will be able to double major in Computer Science and Data Science. Please note that each major must have at least 7 singly-counted courses and more than two courses may be double-counted between the majors. Please speak with your academic advisor for course planning.
Students majoring in Computer Science are permitted to work on an individual basis under the supervision of a full-time faculty member in the relevant discipline if they have maintained an overall GPA of 3.0 and a GPA of 3.5 in Computer Science and have a study proposal that is approved by a Computer Science faculty. Students can then apply for independent study, which will be reviewed by the faculty member, Computer Science Area Head, Dean, and Academic Affairs. A 4-credit CS Independent Study class can be used to satisfy one CS major elective requirement.
|Introduction to Computer and Data Science (ICDS)*
|Pre-req: CSCI-SHU 11 Intro to Computer Programming (ICP) OR placement exam
|Choose one Statistics course from the following three:
|Probability and Statistics*
|Honors Theory of Probability
|Pre-req: “Honors Analysis 1” and “Linear Algebra or Honors Linear Algebra 1”
|Statistics for Business and Economics*
|REQUIRED MAJOR COURSES
|Pre-req: ICDS, or A- and above in ICP
|Co-requisite OR Pre-requisite: MATH-SHU 131 Calculus or MATH-SHU 201 Honors Calculus
|CENG-SHU 202 OR CSCI-UA 201
Computer Systems Organization
Pre-req for Computer Architecture: ICDS or ICP
|CSCI-SHU 220 / CS-UY 2413 / CSCI-UA 310
Pre-reqs: Data Structures AND (Discrete Math or Linear Algebra or Honors Linear Algebra)
Pre-reqs: Computer Architecture or Computer Systems Organization
* ONLY in fall semester
|Senior Project (In-person)*
Pre-reqs: Senior Standing
ONLY offered in fall semester
|COMPUTER SCIENCE ELECTIVES - Choose Four
|Not every course listed is taught every semester, and in any given semester other courses may be offered that fulfill this requirement. Requirements may be met through equivalent courses in the Global Network with prior approval. If you find a class not on the list that you would like to count towards this requirement, please email your advisor.
|Pre-req: CSCI-SHU 360 Machine Learning
CSCI-SHU 213 /
|Pre-req: Data Structure
|Pre-req: ICDS or placement
|Embedded Computer Systems
|Pre-reqs: (Computer Architecture or Digital Logic) and (ICP or ICDS)
|Pre-reqs: ICP and Calculus and (Probability and Statistics or Theory of Probability or Statistics for Business & Economics)
|Data Science for Social and Information Networks
Pre-reqs: ICP and Calculus/Honors Calculus
"interdisciplinary/soft" CS elective. A maximum of one such course could be used to fulfill the 4 CS elective requirements.
Pre-req: ICP or ICDS or Interaction Lab or CS placement exam
* ONLY in fall semester
|Pre-req: Data Structures
CSCI-SHU 372 /
CSCI-SHU 323 /
CSCI-SHU 361 /
|Pre-req: CSCI-SHU 215 Operating Systems
Computer Systems Organization (if not taken as a major required course)
|Pre-req: Machine Learning AND (Probability & Statistics OR Theory of Probability)
|iOS Application Development
|Pre-req: ICDS - B grade or higher recommended
|Introduction to Cryptography
|CSCI-UA 480 /CSCI-SHU 376
|Natural Language Processing
CSCI-SHU 358 /
|Theory of Computation
|Pre-req: Operating Systems
|Introduction to Optimization and Mathematical Programming
|Pre-req: ICP; AND (Calculus or Honor Calculus)
|Pre-req: Data Structures and Discrete Math
Study Away Considerations:
- Before studying abroad, students are recommended to complete Introduction to Computer Science and Data Science, Data Structures, Probability and Statistics, and Computer Architecture. Some advanced-level CS major elective courses may require Probability and Statistics, Linear Algebra or Machine Learning as course prerequisites.
- Students are expected to at least complete Data Structures (and ideally, Computer Architecture) before their study away semesters.
- Students should NOT plan to study away during the senior fall as the CS Senior Capstone class is ONLY offered every Fall semester in person.
- Location: Students planning to study away for two semesters are encouraged to spend the first semester in a location other than New York. Applicants who spend the first semester away in another location will receive priority consideration for New York in their second semester away. Students who elect to spend the spring of their junior year in New York (versus the fall of the junior year) will have more earned credit points, thus will enable them to have an earlier registration time and a better chance of enrolling in high-demand course in spring.
Study Away Course Registration
Please refer to the Study Away portal- Academics sections for specific location-based registration guidelines. Please note that students must follow the prerequisites of the school hosting the course. For example, if Shanghai does not require a course for Class X, but New York does, then you will need to have that required course.
Python vs. Java
In Shanghai, there are three course sequences ICP, ICS, and Data Structures (all taught in Python). At NYU CAS, there are the same three-course sequence but teach ICS and Data Structures in Java. At NYU Tandon, their three-course sequence is ICP, Data Structure, and Object Oriented Programming. ICP and Data Structures are taught in Python, OOP in Java.
As an NYU Shanghai CS and Data Science major, students can take ICS or Data Structures in Python or Java. However:
- If you are a DS major, we highly recommend you take both ICS and Data Structures in Python. Python is by far the most prominent language in data science, and several of our upper-level DS courses are taught in Python. But if it is difficult to get into a Python class, then you can take these courses in Java.
- For CS majors, either Java or Python is fine. But you should be warned that if you take ICS in Java and then return to NYU Shanghai, you’ll be taking Data Structures in Python, and may be at a disadvantage to those who took ICS in Python.
- All students should be warned that if they take ICS in Python, and then take Data Structures in NY in Java, they may be at a disadvantage since this would be their first course using Java, whereas most NY students will already have ICS in Java.
Please note that, starting in 2022-2023, CSCI-SHU 420 Computer Science Senior Project will ONLY be offered in the Fall. The Senior Project course won't be offered in the Spring Semester.
1. What is the structure of the CS Senior Capstone course?
The goal of this class is to complete a concrete CS project from start to finish. You can either solve a research problem or try to tackle a real-world problem. You need to design a valid method/approach to solve the problem, build a solution using your method, and assess the quality of your solution. You may either work alone or form a team of at most 3 students.
- Project Setup Guidelines
- Capstone Info Session (Slides)
- Course Instructors, Supervisors, and Mentors
2. What are the requirements of the capstone project?
At the end of the project, you must prepare a written technical report and a presentation. The final project report must be structured as a typical technical paper and will include four main sections:
- Motivation, problem definition
- Related literature and existing approaches
- Proposed solution and details of implementation
- Results, conclusion, and directions for improvement
3. What should students prepare in advance to get ready for the capstone?
- Choose a research topic that NYU faculty have submitted or come up with a valuable topic of your own.
- Contact a faculty supervisor whose area of expertise matches the field of your topic, and start preparing as early as possible.