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Computer Science - Economics
The Bachelor of Arts in Computer Science – Economics at Brown University provides students with an interdisciplinary education combining the analytical rigor of computer science with the economic understanding of markets, policy, and decision-making. Students gain expertise in programming, algorithms, data structures, and computational modeling, while simultaneously studying microeconomics, macroeconomics, econometrics, and game theory. The program emphasizes problem-solving, quantitative analysis, and data-driven insights, enabling students to apply computational tools to analyze economic systems and predict market behavior.
Through coursework, collaborative projects, and hands-on research, students develop the skills to tackle complex challenges at the intersection of technology and economics. Topics such as financial modeling, machine learning, big data analytics, and economic forecasting are integrated into the curriculum, offering practical experience in applying computational methods to real-world problems. The program fosters critical thinking, effective communication, and interdisciplinary collaboration, preparing graduates to navigate both technological and economic landscapes while providing innovative solutions for businesses, governments, and research institutions.
Key information
Key Facts
- Program Title: Computer Science - Economics
- Degree Type: Bachelor of Arts
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: Brown University, United States
- Field of Study: Economics
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Economics and Computing
• Introduction to Microeconomics and Macroeconomics
• Programming Fundamentals (Python or Java)
• Calculus I & II
• Academic Writing and Research Methods
Year 2 – Core Disciplines
• Data Structures and Algorithms
• Intermediate Microeconomic and Macroeconomic Theory
• Statistics and Econometrics
• Elective: Computational Economics or Mathematical Modeling
Year 3 – Applied Analysis and Computational Methods
• Machine Learning and Data Analytics
• Financial and Economic Modeling
• Software Development or Database Systems
• Internship or Applied Project
Year 4 – Capstone and Independent Research
• Senior Seminar in Computational Economics
• Capstone Research Project or Thesis
• Advanced Topics in Economics or Computer Science
• Electives: Artificial Intelligence, Big Data, or Public Policy
Career Opportunities
Graduates of the Computer Science – Economics program are equipped with a powerful combination of analytical, computational, and economic skills that are highly valued in diverse industries. Alumni pursue careers as data analysts, financial engineers, business analysts, software developers, policy advisors, or quantitative researchers in sectors such as finance, consulting, technology, and government. The interdisciplinary training also provides a strong foundation for graduate study in economics, computer science, data science, business, or public policy, preparing students to address complex challenges in a data-driven world. Employers seek graduates who can integrate computational methods with economic reasoning to analyze trends, optimize decision-making, and design innovative solutions across professional and academic environments.
Why Choose This Program
This program offers a unique interdisciplinary education that blends technical computing skills with economic analysis, preparing students to tackle challenges in modern, data-driven contexts. Students benefit from hands-on projects, research opportunities, and mentorship from faculty across both departments, fostering problem-solving, analytical thinking, and collaborative skills. The curriculum emphasizes real-world applications such as financial modeling, market prediction, and technological innovation, ensuring graduates are equipped to make strategic, informed decisions. By combining quantitative rigor, computational expertise, and economic insight, the program prepares students to excel in competitive industries, contribute to innovative research, and address the complex economic and technological challenges of the 21st century.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 401 863 1000
Email: admissions@brown.edu
Address: University of Brown, Providence, RI 02912, United States
