Brown computer science master’s students work on real-world AI systems, not just theory. From building real-time data systems like a live U.S. trends map for X to evaluating how large language models perform on multiple-choice questions across varying levels of technical jargon to building casual models for robots to plan reliably in uncertain times, all while winning Google Lime Awards and earning first place in hackathons.
Brown's Master of Science (Sc.M.) in computer science offers a flexible, high-value graduate experience, two years on-campus. Students build technical depth in systems, networking, AI and more – while gaining faculty mentorship and a global network.
Choose from research or coursework-only options that can be easily customized to align with your goals, and both options offer the professional track which extends the opportunity for industry experience. Learn from world-renowned faculty who have earned a reputation for innovation and collaborate with industry and government partners on real-world challenges.
All admitted students are automatically considered for merit-based, full-tuition scholarships that support the program's diversity and inclusion goals.
Students may also take select courses at Harvard, RISD and other participating institutions at no additional cost, subject to cross-registration policies.
Brown graduates are hired by top companies and hold positions as:
- Software Engineer
- Senior Software Developer
- Machine Learning and AI Engineer
- Data Scientist
- Product Manager
- Senior Architect
- Vice President of Engineering
- Chief Technology Officer (CTO)
- Chief Executive Officer (CEO)
- Research Scientist
A survey of our recent Master's alums found that 100% felt that the program prepared them for their current job responsibilities.
This page is for prospective Master of Science in Computer Science students. Current students, go here.
— Art Jiang, Intuitive Surgical
"Getting a Master's was a great opportunity to continue my research and deepen my relationships with other students and Brown's faculty."
— Fiona Hopkins, Twitter