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Brown University’s Sc.B. in Mathematics–Computer Science is an interdisciplinary program that equips students with deep mathematical theory and computational expertise, ideal for those interested in logic, algorithms, systems, and applied quantitative techniques. Offered through The College, this concentration emphasizes flexibility, allowing students to tailor their studies to themes such as data science, theoretical computer science, or applied mathematics.
Students choose between a Standard Track and a Professional Track, the latter offering real-world experience through internships or research. The program culminates in a capstone experience, where students integrate knowledge through a project, seminar, or thesis in their final year.
Course Overview
Core Curriculum:
Computer Science (6 courses): Introductory Programming and Data Structures, Foundational Courses, Advanced CS
Capstone Requirement:
A one-semester capstone course in CS or Mathematics during the final year (project, seminar, or thesis)
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 advised by a faculty member from Math or CS, with a reader from the other department
Capstone Project, Seminar, or Thesis: Mandatory in senior year
Professional Track: Includes internship or research-based learning with reflective reporting
Interdisciplinary Flexibility: Allows students to build a theme in areas such as algorithms, data science, or applied math
Faculty Engagement: Students work closely with faculty across both departments
Prepares students for graduate programs in mathematics, computer science, and interdisciplinary research
Opens doors to data-driven, technical, and quantitative careers
Excellent foundation for PhD programs, tech R&D, finance, and analytics
Supported by Brown’s flexible open curriculum and emphasis on cross-disciplinary innovation
Students benefit from individualized academic advising and research mentorship
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.Software DeveloperData ScientistQuantitative AnalystFinancial EngineerComputational ResearcherResearch Scientist
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