Bachelor of Science (B.S.) Data Science
Faculty Mentors
Degree Requirements
Concentration Options
Double Majors
Minor Requirements
Undergraduate Research
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. You can go on to graduate school in data science, computer science, social science, business, finance, medicine, law, linguistics, education, and so on. Outside of academe, there are also myriad career paths. Not only can you pursue careers with traditional data-driven computer-science companies and startups such as Google, Facebook, Amazon, and Microsoft, but also with companies in the transportation, energy, medical, and financial sectors. You can also pursue careers in the public sector, including urban planning, law enforcement, and education.
Recommended Spring 2018 Courses for Freshmen
1. Writing as Inquiry
2. Introduction to Programming / Introduction to Computer Science
3. Probability and Statistics / Statistics for Business and Economics / Biostatistics
4. Chinese Language Course / English for Academic Purposes
Recommended Spring 2018 Courses for Sophomores
1. Data Structures OR Domain-area Course (if Data Structures has been taken)
2. Econometrics
3. Machine Learning OR Core Curriculum Course (if Machine Learning has been taken)
4. Chinese Language Course / Core Curriculum Course / General Elective Course / Analysis 1
Faculty Mentors
![](http://shanghai.nyu.edu/sites/default/files/styles/single_people_picture/public/field/profile/ross_keith_1-2.jpg?itok=yi6I9uGc)
Office: 1124 | Email: yc18@nyu.edu | Profile
Degree Requirements – 2017-2018
* = offered in Spring ’18 in Shanghai
Prerequisite Courses | |
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Programming/Computer Science Courses | |
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Math Courses | |
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Data Analysis Courses | |
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Data Management Course | |
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Concentration Courses | |
Note: For a concentration in Finance, students need to take all four courses listed below. |
Concentration Options
Domain-Area Courses for Concentration in Finance | |
– No senior project required. |
Domain-Area Courses for Concentration in Economics | |
– Students can take Math for Economists (2 credits or 4 credits) en lieu of Multivariable Calculus. |
Domain-Area Courses for Concentration in Genomics | |
– Foundations of Biology 1 can count as core curriculum course. |
Domain-Area Courses for Concentration in Computer Science | |
– 12 courses total. |
Domain-Area Courses for Concentration in Mathematics |
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– 12 courses total. |
Domain-Area Courses for Concentration in Artificial Intelligence | |
– 12 courses total. |
Domain-Area Courses for Concentration in Social Science | |
– 12 courses total. |
Double Majors
If you are interested in pursuing a Data Science major along with an Economics major, a Computer Science major, a Business major, or a Mathematics major, these are the relevant guidelines:
- The course requirements need to be satisfied in both majors.
- More than two courses may be double-counted between the majors but each major must have at least 7 singly-counted courses.
- The double major must be approved by the faculty and Deans responsible for the two majors. Students should first work with their academic advisor to initiate this process.
- Double-counted courses cannot also be counted for the core curriculum requirements since each course can only count for at most two requirements.
You can view sample plans on how a major in Data Science and an Economics major, a Computer Science major, a Business major, or a Mathematics major may be completed HERE.
Minor Requirements
Minor in Data Science: 5 courses | |
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Note: Computer Science majors should additionally take Information Visualization OR Databases to earn at least 12 unique credits for the minor. |
Undergraduate Research
Undergraduate Research Opportunities |
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