Computing and Data Science
Information Technology permeates most modern business organizations, forming the foundation of how the organization conducts their business. Industries are continuously transformed by rapidly changing technology: finance, insurance, retail, media, healthcare, education, travel, advertising, and automotive are just a few examples of industries that have been and continue to be transformed by computing and the wide availability of data. The computing and data science concentration provides the fundamentals of working in these industries using computing and data science, and in parallel provides an understanding of the implications of these technologies for business managers. Due to the rapidly changing nature of technology, new courses are often introduced.
Concentrate in Computing and Data Science
For course descriptions, prerequisites and course scheduling options, please review the Course Index.
Computing and Data Science Concentration Requirements
|Course Name||Course Number|
|Information Technology in Business and Society||TECH-UB 1|
|Four (4) Computing and Data Science Electives (12 units)||Any TECH-UB elective or approved course (see below).|
Additional Courses Approved to Count As Computer & Data Science Electives:
|Course Name||Course Number|
|Decision Models & Analytics||MULT-UB 7|
|Decision Making Under Uncertainty||MULT-UB 16|
|Tech Industry Drivers||MULT-UB 57|
|Foundations of Fintech||MULT-UB 80|
|Decision Analytics for Sports||OPMG-UB 54|
|Regression and Multivariate Data Analysis||STAT-UB 17|
- Students may also import one (and only one) non-Stern computer science elective:
- CSCI-UA 2/3 (Introduction to Computer Programming No prior experience/limited prior experience) (Python) can be imported . However, this class cannot be counted together with TECH-UB 23 towards the requirements for the concentration, as they have substantial overlap. Starting in spring 2021, students will no longer be permitted to take the CAS Introduction to Programming course to count as a Computing and Data Science elective course.
- CSCI-UA 102 (Data Structures) can be imported as it does not overlap in content with other Stern courses.
- Other Computer Science courses with permission of the faculty adviser.
- CSCI-UA 4 (Introduction to Web Design and Computer Principles) does not count towards the Computing & Data Science concentration.
- Juniors and seniors may also register for selected MBA courses if these courses do not have an equivalent undergraduate course. The permission of the Undergraduate Advising Office is required.
- 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)