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New York University NYU Shanghai 48 courses 128 total credits
Data Science at NYU Shanghai is designed to create data-driven leaders with a global perspective, a broad education, and the capacity to think creatively. Data science involves using computerized methods to analyze massive amounts of data and to extract knowledge from them. Data science addresses a wide range of data types, including scientific and economic numerical data, textual data, and image and video data. This new discipline draws from methodologies and tools in several well-established fields, including computer science, statistics, applied mathematics, and economics. Data science has applications in just about every academic discipline, including sociology, political science, digital humanities, linguistics, finance, marketing, urban informatics, medical informatics, genomics, image content analysis, and all branches of engineering and the physical sciences. The importance of data science is expected to accelerate in the coming years, as data from the web, mobile sensors, smartphones, and Internet-connected instruments continues to grow. Students who complete the major will not only have expertise in computer programming, statistics, and data mining, but also know how to combine these tools to solve contemporary problems in a discipline of their choice, including the social science, physical science, and engineering disciplines. Upon graduation, data science majors have numerous career paths. Data Science majors can go on to graduate school in data science, computer science, social science, business, finance, medicine, law, linguistics, education, and so on. Outside of academia, there are also myriad career paths. Not only can graduates pursue careers with traditional data-driven computer-science companies and startups such as Google, Facebook, Amazon, and Microsoft, but also they can also be valuable to companies in the transportation, energy, medical, and financial sectors. Graduates can also pursue careers in the public sector, including urban planning, law enforcement, and education. New York University's Office of Undergraduate Admissions supports the application process for all undergraduate programs at NYU. For additional information about undergraduate admissions, including application requirements, see How to Apply.
| Concentration Courses | credits |
| Complete one of the following Concentrations: | 8-16 credits |
| Finance | credits |
| Marketing | credits |
| Economics | credits |
| Genomics | credits |
| Mathematics | credits |
| Artificial Intelligence | credits |
| Political Science | credits |
| Psychology | credits |
Core Courses
Social and Cultural Foundations
| Code | Course Title | Credits |
|---|---|---|
| CCSF-SHU 101L | Global Perspectives on Society | 4 |
Core Courses
Writing
| Code | Course Title | Credits |
|---|---|---|
| WRIT-SHU 102 | Writing as Inquiry | 4 |
| WRIT-SHU 201 | Perspectives on the Humanities | 4 |
Major Requirements
Foundational Courses
| Code | Course Title | Credits |
|---|---|---|
| CSCI-SHU 101 | Introduction to Computer Science | 4 |
Major Requirements
Select one of the following:
| Code | Course Title | Credits |
|---|---|---|
| MATH-SHU 235 | Probability and Statistics | 4 |
| MATH-SHU 238 | Honors Theory of Probability | 4 |
| Total Major Requirements | 4 credits | |
Major Requirements
Programming & Computer Science
| Code | Course Title | Credits |
|---|---|---|
| CSCI-SHU 210 | Data Structures | 4 |
Major Requirements
Select one of the following:
| Code | Course Title | Credits |
|---|---|---|
| MATH-SHU 151 | Multivariable Calculus | 4 |
| MATH-SHU 328 | Honors Analysis I | 4 |
| Total Major Requirements | 4 credits | |
Major Requirements
Select one of the following:
| Code | Course Title | Credits |
|---|---|---|
| MATH-SHU 140 | Linear Algebra | 4 |
| MATH-SHU 141 | Honors Linear Algebra I | 4 |
| MATH-SHU 265 | Linear Algebra and Differential Equation | 4 |
| Total Major Requirements | 4 credits | |
Major Requirements
Data Analysis
| Code | Course Title | Credits |
|---|---|---|
| DATS-SHU 101 | Introduction to Data Science | 4 |
| CSCI-SHU 360 | Machine Learning | 4 |
Major Requirements
Select one of the following:
| Code | Course Title | Credits |
|---|---|---|
| CSCI-SHU 220 | Algorithms | 4 |
| DATS-SHU 235 | Information Visualization | 4 |
| DATS-SHU 240 | Introduction to Optimization and Mathematical Programming | 4 |
| Total Major Requirements | 4 credits | |
Major Requirements
Select one of the following: 1
| Code | Course Title | Credits |
|---|---|---|
| CSCI-SHU 420 | Computer Science, Data Science, and Engineering Senior Project | 0 |
| CSCI-SHU 430 | Computer Science, Data Science, and Engineering Advanced Senior Project | 4 |
| Total Major Requirements | 0-4 credits | |
Finance
| Code | Course Title | Credits |
|---|---|---|
| ECON-SHU 3 | Microeconomics | 4 |
| BUSF-SHU 202 | Foundations of Finance | 4 |
| BUSF-SHU 250 | Principles of Financial Accounting | 4 |
| BUSF-SHU 303 | Corporate Finance | 4 |
| Total Finance | 16 credits | |
Marketing
| Code | Course Title | Credits |
|---|---|---|
| ECON-SHU 3 | Microeconomics | 4 |
| BUSF-SHU 202 | Foundations of Finance | 4 |
| BUSF-SHU 250 | Principles of Financial Accounting | 4 |
| MKTG-SHU 1 | Introduction to Marketing | 4 |
| Total Marketing | 16 credits | |
Economics
| Code | Course Title | Credits |
|---|---|---|
| ECON-SHU 1 | Principles of Macroeconomics | 4 |
| ECON-SHU 3 | Microeconomics | 4 |
| ECON-SHU 301 | Econometrics | 4 |
| Total Economics | 12 credits | |
Genomics
| Code | Course Title | Credits |
|---|---|---|
| BIOL-SHU 21 | Foundations of Biology I | 3 |
| BIOL-SHU 22 | Foundations of Biology II | 3 |
| BIOL-SHU 123 | Foundations of Biology Lab | 2 |
| BIOL-SHU 261 | Genomics and Bioinformatics | 4 |
| Total Genomics | 12 credits | |
Mathematics
Select two of the following:
| Code | Course Title | Credits |
|---|---|---|
| MATH-SHU 142 | Honors Linear Algebra II | 4 |
| MATH-SHU 234 | Mathematical Statistics | 4 |
| MATH-SHU 238 | Honors Theory of Probability | 4 |
| MATH-SHU 329 | Honors Analysis II | 4 |
| MATH-SHU 345 | Introduction to Stochastic Processes | 4 |
| Total Mathematics | 8 credits | |
Artificial Intelligence
Select three of the following:
| Code | Course Title | Credits |
|---|---|---|
| CSCI-SHU 220 | Algorithms | 4 |
| CSCI-SHU 375 | Reinforcement Learning | 4 |
| CSCI-SHU 376 | Natural Language Processing | 4 |
| CSCI-SHU 381 | Recommendation Systems | 4 |
| DATS-SHU 200 | Topics in Machine Learning | 4 |
| DATS-SHU 235 | Information Visualization | 4 |
| DATS-SHU 240 | Introduction to Optimization and Mathematical Programming | 4 |
| DATS-SHU 369 | Machine Learning with Graphs | 4 |
| DATS-SHU 377 | Computer Vision | 4 |
| Total Artificial Intelligence | 12 credits | |
Political Science
| Code | Course Title | Credits |
|---|---|---|
| SOCS-SHU 150 | Introduction to Comparative Politics | 4 |
| SOCS-SHU 160 | Introduction to International Politics | 4 |
| Total Political Science | 8 credits | |
Psychology
| Code | Course Title | Credits |
|---|---|---|
| PSYC-SHU 101 | Introduction to Psychology | 4 |
Psychology
Select two of the following:
| Code | Course Title | Credits |
|---|---|---|
| PSYC-SHU 234 | Developmental Psychology | 4 |
| PSYC-SHU 352 | Psychology of Human Sexuality | 4 |
| SOCS-SHU 334 | Legal Psychology | |
| SOCS-SHU 350 | Practice in Psychological Experiments | |
| Total Psychology | 8 credits | |
Click a course code or title to read the full course description.
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