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The Master of Science in Data Science at Brown University is an intensive one-year, full-time program that equips students with the ability to manage, analyze, and extract insight from large and complex datasets. With a curriculum that balances mathematical rigor, computer science foundations, and domain-specific applications, students develop proficiency in data wrangling, machine learning, statistical modeling, and algorithmic thinking. The program is designed for students from technical backgrounds who want to advance their skills and apply them to solving real-world problems across industries.
Brown’s collaborative and interdisciplinary learning environment allows students to explore the ethical, social, and scientific dimensions of data science. Courses are taught by faculty from applied mathematics, computer science, biostatistics, and economics, offering students a broad and flexible academic experience. Through hands-on projects, research opportunities, and access to cutting-edge computational resources, students graduate with a well-rounded toolkit for data-driven discovery. This program prepares individuals not just to work with data—but to lead in shaping how data informs decisions in science, business, healthcare, and policy.
Semester 1 – Core Principles and Foundations
Semester 2 – Advanced Tools and Applications
Graduates of the Data Science program are in high demand across sectors where data influences decision-making, innovation, and strategy. Typical roles include data scientist, machine learning engineer, business intelligence analyst, and research data analyst, with opportunities in technology firms, financial institutions, healthcare systems, and government agencies. Many alumni also join AI and analytics teams in startups or global corporations, applying their skills to build predictive models, automate processes, and design data products. The program’s strong focus on both programming and applied statistics ensures that graduates can confidently manage large-scale datasets and extract actionable insights. Those with academic interests often pursue PhD programs or roles in computational research, further expanding their expertise in data-driven exploration. With their versatile training and strong analytical mindset, graduates are well-prepared to lead innovation across data-centric fields.
This program stands out for its integration of technical depth, interdisciplinary perspective, and real-world relevance, all delivered within an accelerated one-year format. Brown University’s data science curriculum emphasizes not only algorithmic skill but also critical thinking about the societal impact of data use. Students benefit from a close-knit academic community, mentorship from faculty engaged in frontier research, and connections to industry leaders through events and internships. The flexible elective structure allows for personalization based on career goals, while the capstone experience grounds learning in hands-on application. Whether you aim to work in industry, research, or public policy, this program provides the skills, vision, and ethical grounding to turn data into impactful solutions.
For further information, please contact the admissions office at:
Phone: +1 401 863 1000
Email: admissions@brown.edu
Address: University of Brown, Providence, RI 02912, United States