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Brown University’s Sc.B. in Computer Science–Economics is an interdisciplinary program offered through The College that equips students to solve complex problems at the intersection of technology and economics. Combining rigorous training in computer science, economic theory, and quantitative analysis, the program prepares students for careers in data science, market design, policy research, and financial technology.
Students choose between a Standard Track and a Professional Track, the latter including practical work experience. The curriculum emphasizes algorithmic thinking, data-driven decision-making, and real-world economic modeling. Students also complete a capstone project or senior thesis that synthesizes skills from both disciplines.
Course Overview
Prerequisites (3 courses):
Single-variable calculus (Part II)
Linear algebra
Principles of Economics
Core Curriculum:
Computer Science (8 courses): Probability & Statistics, Introductory Programming and Data Structures, Foundational CS Courses, Advanced CS Electives
Economics (8 courses): Intermediate Microeconomics, Intermediate Macroeconomics, Econometrics, Mathematical Economics Group, Economics Electives
Capstone Requirement:
A one-semester project-based course or senior thesis at the CS–Economics intersection
Professional Track (Optional):
2–6 months of approved full-time work experience (internship or research)
Reflective essay required for each experience
Honors:
Requires a senior thesis with one advisor from CS or Economics and a reader from the other department
Capstone Project or Senior Thesis: Required for all Sc.B. students
Professional Track: Internship or research-based learning with reflective essays
Interdisciplinary Curriculum: Integrates economic modeling with technical computing
Access to Faculty Expertise: Guidance from both Computer Science and Economics departments
Competitive entry into graduate programs in economics, computer science, and public policy
Strong pathway to roles in finance, consulting, tech, and government sectors
Trains students for data-intensive, cross-disciplinary careers
High placement in policy think tanks, central banks, tech firms, and PhD programs
Supported by Brown’s open curriculum and emphasis on self-directed academic exploration
The Computer Science program at Brown University offers a flexible, interdisciplinary curriculum that empowers students to explore the full spectrum of computing while fostering creativity, critical thinking, and innovation. Known for its open curriculum, Brown encourages students to tailor their academic paths, integrating computer science with fields like mathematics, cognitive science, biology, economics, and the arts.The program builds a strong foundation in algorithms, data structures, programming languages, software engineering, and computational theory, while allowing students to dive deep into specialized areas such as artificial intelligence, machine learning, robotics, computer graphics, data science, cybersecurity, human-computer interaction, natural language processing, and the theory of computation.Students engage in hands-on research through renowned labs like the AI Lab, the Graphics Lab, and the Human-Computer Interaction Lab, collaborating closely with faculty and peers on cutting-edge projects. Located in Providence, Rhode Island, Brown offers access to a growing tech community and numerous opportunities for internships, research, and industry partnerships.The program emphasizes collaboration over competition, fostering a supportive environment where students are encouraged to take intellectual risks and pursue innovative ideas. Graduates of Brown’s Computer Science program are highly regarded for their technical expertise, creativity, and problem-solving skills, excelling in fields such as software development, AI, data analytics, research, entrepreneurship, and beyond.Admission to Brown University is through the standard undergraduate application process (Common Application or Coalition Application)International applicants must demonstrate English proficiency (e.g., TOEFL, IELTS) and submit required documentationTwo teacher evaluations/recommendationsEarly Decision applicants must submit all documents by November 1; Regular Decision deadline is January 3Official high school transcript(s) & Midyear School Report and updated transcript (when available) required.Data ScientistEconomic ConsultantPolicy AnalystSoftware Engineer (with economic focus)Quantitative ResearcherProduct Manager in tech/financeGraduate Researcher in Economics or CS
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