The Bachelor of Science in Data Science at Rutgers provides students with a foundation in data literacy, statistical inference, and data management. The program includes courses in calculus, linear algebra, and principles of information and data management. The program has two tracks: Computer Science and Economics. The Computer Science track includes courses in calculus and computer science, with a deep emphasis on Machine Learning and Artificial Intelligence. The Economics track includes courses in microeconomics and macroeconomics, as well as other advanced economics courses. Overall, the program provides students with a comprehensive curriculum that prepares them for a career in data science with a focus on economics or computer science.
Students must complete the Foundational courses and choose from one of the BS degree options, along with completing the SAS CORE requirements.
There is no precedence order except for the normal prerequisites for the courses. Information is subject to change. Please consult advisors.
Foundational Courses
- 01:198:142/01:960:142 Data 101: Data Literacy
- 01:960:291 Statistical Inference for Data Science
- Data Management Courses (Choose one):
- 01:640:135/01:640:151 Calculus I
- 01:640:250 Introductory Linear Algebra
- 01:198:336 Principles of Information and Data Management {course requirement under review}
- 04:189:220 Data in Context
BS - Computer Science (Code: NB219SJ)
- 01:640:152 Calculus II
- 01:640:251 Multivariable Calculus
- 01:198:111 Introduction to Computer Science
- 01:198:112 Data Structures
- 01:198:205 Intro to Discrete Structures I
- 01:198:206 Intro to Discrete Structures II
- 01:198:439 Introduction to Data Science
- 01:198:461 Machine Learning Principles or, 01:198:462 Introduction to Deep Learning
- 01:960:463 Regression Methods
- 01:960:486 Applied Statistical Learning
- 04:547:321 Information Visualization
BS - Economics (Code: NB219EJ)
- 01:640:136/152 Calculus II
- 04:547:321 Information Visualization
- 01:220:102 Intro to Microeconomics
- 01:220:103 Intro to Macroeconomics
- 01:220:320 Intermediate Microeconomics Analysis
- 01:220:321 Intermediate Macroeconomic Analysis
- 01:220:322 Econometrics
- 01:220:421 Economic Forecasting and Big Data
- 01:220:422 Advanced Cross-Sectional and Panel Econometrics or, 01:220:423 Advanced Econometrics for Microeconomic Data
- 01:220:424 Advanced Analytics for Economics
Declaration of Major
Requirements: To declare the Data Science Major, students must successfully complete these three foundational courses: Data 101, Statistical Inference, and Data Management course.
To add the Data Science in MyMajor, please complete the forms according to your specific school affiliation.
School of Arts and Sciences: https://mymajor.sas.rutgers.edu
School of Environmental and Biological Sciences: https://mymajor.sebs.rutgers.edu
School of Engineering: Minors, Second Majors, and Dual Degrees | Rutgers School of Engineering
Rutgers Business School: https://myrbs.business.rutgers.edu/undergraduate-new-brunswick/academic-advising/forms
