Computer Science and Economics
The Bachelor of Science in Computer Science and Economics offers a rigorous interdisciplinary education that examines how computational systems, data-driven methodologies, and economic reasoning intersect in modern decision-making. Students explore fundamental concepts in programming, algorithmic thinking, microeconomics, and statistical analysis, gaining the tools necessary to understand both the technological and economic dimensions of contemporary industries. The curriculum emphasizes evidence-based evaluation, quantitative modeling, and computational problem-solving, strengthening analytical depth, economic insight, computational fluency, and conceptual clarity, enabling learners to approach complex challenges with a multidisciplinary perspective.
Over the four-year program, students engage with advanced coursework in machine learning, software design, econometrics, optimization, and market analysis. They investigate how algorithms influence market behavior, how data informs economic forecasting, and how technology transforms global economic structures. Through research projects, data-intensive assignments, and interdisciplinary collaboration, learners refine their ability to interpret economic patterns, build computational models, and evaluate the impact of technological innovation. This sustained engagement cultivates methodological rigor, empirical competence, critical evaluation, and research capability, preparing graduates to contribute thoughtfully to both software-driven environments and economic policy discussions.
Key information
Key Facts
- Program Title: Computer Science and Economics
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 02 January 2026
- Location: Yale University, United States
- Field of Study: Economics
- Language of Instruction: English
Program Structure
Year 1 – Foundations of Computing & Economics
· Introduction to Programming
· Microeconomics Principles
· Discrete Mathematics
· Methods in Quantitative Analysis
Year 2 – Core Analytical and Computational Methods
· Data Structures and Algorithms
· Macroeconomics
· Probability and Statistics
· Econometrics I
Year 3 – Advanced Integrated Study
· Machine Learning or Artificial Intelligence
· Optimization and Economic Modeling
· Econometrics II or Applied Data Analysis
· Independent Study / Interdisciplinary Research Project
Year 4 – Thesis & Professional Preparation
· Senior Thesis / Computational Economics Research
· Advanced Seminar in Technology and Economic Systems
· Software Engineering or Advanced Algorithms
· Academic Portfolio & Presentation Skills
Career Opportunities
Graduates of this program enter a wide range of careers that demand strong quantitative skills, computational expertise, and economic understanding. Many secure roles in technology companies, financial institutions, consulting firms, and data-driven research organizations, where they contribute to algorithm development, economic forecasting, data science, and market analysis. Additional opportunities arise in policy research, fintech, artificial intelligence, public-sector analytics, and entrepreneurial ventures that rely on modeling, optimization, and large-scale data processing. With training in programming, econometrics, and analytical reasoning, graduates can design computational tools, interpret economic data, and collaborate with multidisciplinary teams to solve complex technological and economic problems. Their ability to unify economic theory with computational methodology makes them highly competitive across industries focused on innovation and quantitative decision-making.
Why Choose This Program
This program is ideal for students seeking a curriculum grounded in integrated computational economics, offering a balanced approach to understanding markets, data, and technology. Over four years, learners develop advanced analytical skills, programming competence, and economic reasoning through seminars, research projects, and data-intensive coursework. The program fosters industry-relevant expertise applicable to careers in technology, finance, consulting, and public policy. With its emphasis on quantitative rigor, interdisciplinary thinking, and problem-solving precision, the curriculum cultivates strong intellectual judgment, enabling graduates to analyze complex systems, innovate with data-driven tools, and contribute effectively to technological and economic advancements.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 203 432 2300
Email: admissions@yale.edu
Address: University of Yale, New Haven, CT 06520, United States
