Undergraduate Current Students | AI, Computing and Data Science

Artificial intelligence, computing, and data science are fundamentally redefining how modern business operates. You will learn the essential technical background necessary to make decisions about computer-based information systems. Through practical applications, ranging from data analysis and system design to new AI-focused electives, this concentration equips future leaders to manage tech-driven organizations and solve real-world business challenges. To reflect the rapidly evolving nature of technology, new technology courses are continuously introduced.

To declare a concentration in AI, 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:

• For students who entered as first-years fall 2026, going forward:
  • Data Science and AI for Business (TECH-UB 57)
  • Any three (3) approved AI, Computing & Data Science Electives:
    • Any “TECH-UB” elective
    • Any "TECH-GB 6XXX" level elective
    • Financial Analytics Using Python and AI Tools (ACCT-GB 6028)
    • Econometrics (ECON-UB 251)
    • Real Estate Data Science, Artificial Intelligence, and Machine Learning (FING-GB 6036)
    • Decision Models & Analytics (MULT-UB 7)
    • Decision Making Under Uncertainty (MULT-UB 16)
    • Tech Industry Drivers (INTA-GB 6057 previously MULT-UB 57)
    • AI Ethics in Business and Society (MULT-UB 60)
    • Foundations of Fintech (MULT-UB 80)
    • Foundations of AI Agents (OPMG-UB 30)
    • 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)
• For students who entered as first-years prior to fall 2026:
  • Any four (4) approved AI, Computing & Data Science Electives:
    • Any “TECH-UB” elective
    • Any "TECH-GB 6XXX" level elective
    • Financial Analytics Using Python and AI Tools (ACCT-GB 6028)
    • Econometrics (ECON-UB 251)
    • Real Estate Data Science, Artificial Intelligence, and Machine Learning (FING-GB 6036)
    • Decision Models & Analytics (MULT-UB 7)
    • Decision Making Under Uncertainty (MULT-UB 16)
    • Tech Industry Drivers (INTA-GB 6057 previously MULT-UB 57)
    • AI Ethics in Business and Society (MULT-UB 60)
    • Foundations of Fintech (MULT-UB 80)
    • Foundations of AI Agents (OPMG-UB 30)
    • 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 AICDS 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 AICDS 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.
• Stern juniors and seniors can request enrollment access into an MBA (-GB) course by filling out the MBA Course Request Form. See the form for more information. If you have questions about how a graduate course can fulfill concentration requirements, please speak with your Stern academic advisor.

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