Undergraduate Current Students | Computing and Data Science

Information Technology permeates most modern business organizations, forming the foundation of how the organization conducts its affairs. 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 reimagined 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.

To declare a concentration in Computing & Data Science, you must fill out the concentration declaration form on Stern Life

Required Functional Business Core Course:

• Information Technology in Business and Society (TECH-UB 1)

You are required to complete 12 credits of upper-level computing & data science courses that consist of:

• Any four (4) approved Computing & Data Science Electives

Approved Computing & Data Science Elective Options

• Any “TECH-UB” elective
• Any "TECH-GB 6XXX" level elective
• Econometrics (ECON-UB 251)
• Decision Models & Analytics (MULT-UB 7)
• Decision Making Under Uncertainty (MULT-UB 16)
• Tech Industry Drivers (INTA-GB 6057 previously MULT-UB 57)
• Foundations of Fintech (MULT-UB 80)
• Decision Analytics for Sports (OPMG-GB 6054 previously OPMG-UB 54)
• Regression & Multivariate Data Analysis (STAT-GB 6017 previously STAT-UB 17)
• Forecast Time Series (STAT-GB 6018 previously STAT-UB 18)

A Stern elective course may satisfy only one concentration requirement. For example, Decision Models & Analytics can count as a CDS concentration elective OR as an operations concentration elective, but it cannot satisfy both requirements. You may import one non-Stern computer science elective to count for the CDS concentration:

• If you took CSCI-UA 2/3 (Introduction to Computer Programming), prior to spring 2021, you can import this class to count for the CDS concentration. However, this class cannot be counted together with TECH-UB 23 towards the requirements for the concentration, as they have substantial overlap. 
• 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) and CSCI-UA 101 (Introduction to Computer Science) do not count towards the Computing & Data Science concentration.
• DS-UA 111 (Data Science for Everyone) does not count for the concentration.
• DS-UA 112 (Principles of Data Science) counts towards the concentration and is equivalent to TECH-UB 57 (Data Science for Business). In academic years when TECH-UB 57 is not offered, students can take DS-UA 112 and it will count towards the concentration without counting as a "non-Stern" course.*
• Other, more advanced courses from the Center for Data Science (e.g., DS-UA 201 (Causal Inference), DS-UA 202 (Responsible Data Science), and other Advanced Topics in Data Science) can be imported and counted as the one non-Stern course permitted to import toward concentration requirements.*
• Explore the Business Analytics track to supplement your concentration with additional coursework in tech, statistics, and math.

* Please note that the CAS Center for Data Science prioritizes their majors, and the capacity of their courses is limited.