BA Computer Science and Economics

4 Years On Campus Bachelors Program

New York University

Program Overview

The Computer Science and Economics joint major at NYU's College of Arts & Science offers an interdisciplinary foundation in programming, algorithms, systems, economic theory, and quantitative analysis. Designed to equip students for the rapidly evolving landscape of tech-driven economics, this major is ideal for those pursuing careers in FinTech, economic policy modeling, computational analysis, and data-driven business intelligence. The program consists of 22 courses (88 credits) across three academic areas: computer science, economics, and mathematics.

  • Course is not available to: Students from NYU Tandon, Students majoring in Data Science due to overlapping content

Course overview by category:

  • Computer Science Courses (9 required):

    • CSCI-UA 101: Introduction to Computer Science

    • CSCI-UA 102: Data Structures

    • CSCI-UA 201: Computer Systems Organization

    • CSCI-UA 202: Operating Systems

    • CSCI-UA 310: Basic Algorithms

    • Four advanced CSCI-UA 400-level electives

  • Economics Courses – Theory Concentration (9 required):

    • ECON-UA 1: Introduction to Macroeconomics

    • ECON-UA 2: Introduction to Microeconomics

    • ECON-UA 11: Microeconomic Analysis

    • ECON-UA 13: Macroeconomic Analysis

    • ECON-UA 20: Analytical Statistics

    • ECON-UA 266: Introduction to Econometrics

    • Two ECON-UA 300–399 theory electives

    • One additional economics elective

  • Mathematics Courses (4 required):

    • MATH-UA 120: Discrete Mathematics

    • MATH-UA 211, 212, 213: Mathematics for Economics I–III

Experiential Learning (Research, Projects, Internships etc.)

  • Quantitative and theoretical integration of economics and computer science courses provides strong groundwork for independent projects and research

  • Students are encouraged to consult with departmental advisers for research and capstone planning

  • Interdisciplinary seminars and industry-specific events through NYU’s Courant and Economics departments

Progression & Future Opportunities

  • Strong preparation for graduate programs in economics, data science, computer science, or financial engineering

  • Ideal for emerging sectors at the intersection of tech and finance, such as AI in economics or decentralized finance

  • Residency Rule: At least 50% of the courses must be completed at NYU CAS

  • Double-Counting Rule: Only 2 courses may overlap with another major/minor

Program Key Stats

$62,246
$ 85
Aug Intake : 1st Jan


32 %
No
Yes

Eligibility Criteria

ABB - AAA
3.5 - 4.0
36 - 40
90 - 95

1480 - 1570
33 - 35
7.5
100

Additional Information & Requirements

Career Options

  • Quantitative analyst
  • Financial engineer
  • Economic modeler
  • Software developer in FinTech
  • Data scientist
  • Graduate researcher in computational economics or computer science

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