Computer Science, Economics, and Data Science
The Computer Science, Economics, and Data Science Bachelor of Science program provides an integrated framework for understanding how computational techniques, economic reasoning, and quantitative methods can be used to interpret complex systems. Students gain a solid foundation in algorithmic thinking, micro- and macro-economic theory, and statistical modeling while learning to evaluate real-world problems through a data-driven and analytical lens. The program encourages students to connect theoretical concepts with their practical applications, offering a rich academic structure that supports long-term intellectual development. Through this interdisciplinary approach, learners are equipped to examine economic behavior, digital transformation, and societal trends with a clarity that helps them navigate rapidly evolving global challenges.
Over the course of study, students have access to diverse research opportunities, collaborative projects, and coursework that enhances both technical and conceptual abilities. They explore the interplay between computation and economic analysis while building proficiency in mathematical modeling, policy evaluation, and scientific reasoning. This strong academic foundation encourages the development of critical thinking and preparation for roles that demand interdisciplinary competence. By engaging in research groups, analytical labs, and advanced coursework, graduates gain the confidence and experience needed to contribute effectively to organizations seeking professionals who can interpret data-rich environments and support strategic decision-making.
Key information
Key Facts
- Program Title: Computer Science, Economics, and Data Science
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 04 January 2026
- Location: Massachusetts Institute of Technology (MIT), United States
- Field of Study: Economics
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Computing and Economics
• Introduction to Computer Science
• Principles of Microeconomics
• Calculus and Mathematical Methods
• Introduction to Data Science
Year 2 – Core Analytical and Computational Skills
• Algorithms and Data Structures
• Intermediate Macroeconomics
• Probability and Statistical Inference
• Econometrics Fundamentals
Year 3 – Advanced Data and Economic Systems
• Machine Learning Applications
• Computational Economics
• Research Methods in Data Analysis
• Electives in Economic Theory, Computation, or Statistics
Year 4 – Integration, Specialization & Capstone
• Advanced Topics in Data Science
• Economic Modeling and Policy Simulation
• Capstone Research Project
• Specialized Electives in Economics or Computer Science
Career Opportunities
Graduates of this program are prepared for roles that require strong analytical capabilities, computational literacy, and economic insight across technology firms, financial institutions, consulting companies, research centers, and policy organizations. Many pursue careers in data analysis, economic modeling, quantitative research, or software development, while others contribute to work in public policy, financial technology, or applied research environments. The program also offers a solid academic base for those interested in pursuing graduate studies in economics, data science, computer science, or interdisciplinary fields that demand rigorous quantitative preparation.
Why Choose This Program
This program is an excellent option for students seeking to understand how computation, economics, and data intersect to shape modern decision-making. The curriculum emphasizes quantitative rigor, multidisciplinary thinking, and the ability to translate complex information into meaningful insights. Students benefit from research experiences, advanced coursework, and collaborative environments that foster innovation and intellectual growth. The combination of economic theory, computational practice, and statistical analysis provides a uniquely powerful foundation for those who want to contribute to data-informed solutions in both private and public sectors.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 617-253-1000
Email: admissions@mit.edu
Address: University of MIT, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
