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Computing and Data Science

Concentrate in Computing and Data Science

For course descriptions, prerequisites and course scheduling options, please review the Course Index.

Students may also substitute computer science electives, with the permission of the undergraduate faculty adviser. Juniors and seniors may also register for selected MBA courses with the permission of the faculty adviser.
 

 Computing and Data Science Program Requirements (12 units)

To complete the computing & data science area of study, students must complete the following courses in addition to Info Tech in Business and Society (INFO-UB 1)
Four (4) Computing and Data Science Electives (12 units) Any INFO-UB elective or approved course (see below).
 

Additional courses approved to count as Computer & Data Science electives: 

Decision Models and Analytics MULT-UB 7
Decision Making Under Uncertainty MULT-UB 16
Trading Strategies and Systems MULT-UB 35
Search and the New Economy MULT-UB 36
Electronic Communities MULT-UB 37

Note: A Stern elective course may satisfy only one concentration requirement (e.g.,Decision Models and Analytics can count toward the Operations concentration requirement OR as an advanced C&SD elective, but it cannot satisfy both requirements).

Students who want to augment another concentration may choose to have the Computing and Data Science Area of Study. A Computing and Data Science area of study requires 9 units of Stern Computing and Data Science electives selected from the courses listed for that area of study. Typically, at least one of the courses is required for the area of study, and students cannot complete more than one. The areas of study and the courses toward the concentration are listed below.

 

Financial Systems

This area of study is designed for students who want to focus on systems in the financial services industry.
Trading Strategies and Systems MULT-UB 35

Required for area of study
Dealing with Data INFO-UB 46
Data Mining for Business Analytics INFO-UB 57
Decision Models and Analytics
MULT-UB 7
 

Enterprise Systems

This area of study is designed for students who are interested in the implementation and implications of enterprise-wide systems and tools for personal productivity. The courses are especially useful for students who wish to enter a career in consulting.
Social and Digital Media Analytics INFO-UB 38

Required for area of study
Dealing with Data INFO-UB 46
Financial Information Systems INFO-UB 50
Data Mining for Business Analytics INFO-UB 57
Decision Models and Analytics MULT-UB 7
Globalization, Open Innovation, Crowdsourcing: New Ways of Organizing INFO-UB 70

 

Web-Based Systems

This area of study is designed for students who want a deeper understanding of Internet technologies. The Internet has become the standard method of delivering content to both internal and external users, as well as the basis for new standards for interfacing between business processes. This area includes courses that cover both development techniques for Web-based systems as well as business applications.
Fundamentals of Computer Systems INFO-UB 35

Required for area of study
Design and Development of Web and Mobile Apps INFO-UB 22
Data Analytics in Digital Marketing INFO-UB 38
Dealing with Data INFO-UB 46
Search and the New Economy MULT-UB 36
Networks, Crowds and Markets INFO-UB 60
Search and the New Economy MULT-UB 36
Electronic Communities MULT-UB 37


For course descriptions, prerequisites and course scheduling options, please review the course index.

Meet with Your Adviser

To ensure proper concentration progress consult your Academic and Faculty Adviser.

Advising - IS