Graduate Programs

Master of Science in Computer Science - AI / ML Track

Brown University's master's in computer science with a track in artificial intelligence & machine learning prepares students and technically experienced professionals to design, build and deploy intelligent systems through a rigorous, full-stack approach to AI.

Program Snapshot

Length 16 - 24Months
Format On-Campus or Online
Courses 8 Courses(8 credits)
Entry Fall

Upcoming Dates

International Deadline October 1
Fall Application Deadline January 15
Fifth-Year Application Deadline May 1

Computer Science

Master of Science in Computer Science - AI / ML Track

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Program Snapshot

Length 16 - 24Months
Format On-Campus or Online
Courses 8 Courses(8 credits)
Entry Fall

Upcoming Dates

International Deadline October 1
Fall Application Deadline January 15
Fifth-Year Application Deadline May 1

Artificial intelligence is transforming every industry, but building AI requires more than understanding algorithms. In as little as 16 months, Brown University's master’s in computer science: artificial intelligence & machine learning track prepares students to understand AI across the entire technology stack — from computer systems and hardware infrastructure to machine learning, deep learning and applications, to the human impact of intelligent technologies.

As a specialized track within Brown's master’s in computer science, the curriculum is designed for students with technical backgrounds and technical professionals who want to deepen their expertise in AI. This track is available in both online and in-person formats. Whether you study on campus or online, students take the same rigorous courses, learn from the same distinguished Brown faculty and earn the same degree.

This program offers the following graduate degree:

Master of Science in Computer Science (Sc.M.)

Additional Information

On-campus students have access to shared office space as well as the department's research labs and computing resources.

Brown undergraduates can apply to this program as a fifth-year master's degree.

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Curriculum & Format

Brown's AI/ML track curriculum can be completed in as little as 16 months and is built around a distinctive full-stack AI philosophy. Students develop expertise across every layer of modern artificial intelligence through foundational coursework in computer systems and AI, followed by advanced study in machine learning, deep learning, AI systems, and AI and society. Elective courses allow students to further explore specialized topics such as computer vision, computational linguistics, reinforcement learning and generative AI law.

See Full Curriculum

On-campus

Study AI/ML on Brown’s campus in Providence, becoming part of a collaborative community of computer scientists, faculty and peers. Courses bring students together for in-person instruction, discussion and collaboration, with opportunities to engage directly with faculty and classmates throughout the program. On-campus students can also take advantage of research opportunities working closely with faculty and graduate students, as well as internships. Students benefit from the immersive experience of studying at Brown while developing the technical expertise to design, build and evaluate AI systems.

Online

Online students earn the same Brown degree while studying alongside on-campus students in the same courses, taught by the same distinguished faculty, without putting their career on hold. Courses are delivered through a flexible online format that combines live, synchronous lectures with asynchronous learning activities. Students can participate in live sessions in real time or watch recordings on their own schedule, providing opportunities for regular interaction with Brown faculty and classmates while maintaining the flexibility to balance graduate study with professional and personal commitments.

Application Information

Deadlines & General Information

Application Deadlines

Start Term	International Students	Final Deadline	Fifth-Year Students
Fall	January 15	January 15	May 1

Additional Information

There are exceptions, but typically we look for outstanding students who already have an undergraduate CS degree or the equivalent and are ready to take our Master's-level courses. While we sometimes discount weaknesses in some areas if there are strengths in others, we'd like to see most of the following courses:

Introductory Programming

Introductory Algorithms and Data Structures

Computer Systems or Software Engineering (preferably both)

Discrete Mathematics and basic Probability

Linear Algebra

In addition, a student should have taken a more advanced course (normally offered to juniors and seniors) in at least one area of CS.

Application Requirements

GRE Subject:

Not required

GRE General:

Not required, but score submission is encouraged

TOEFL/IELTS:

All international applicants whose native language is not English must submit an official Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS) score.

Proficiency exams are not required for applicants who have earned a degree from an institution where English is the sole language of instruction or from a university in one of the following countries: Australia, Bahamas, Botswana, Cameroon, Canada (except Quebec), Ethiopia, Ghana, Ireland, Kenya, Lesotho, Liberia, Malawi, New Zealand, Nigeria, Zimbabwe, South Africa, Sierra Leone, Swaziland, Tanzania, Gambia, Uganda, United Kingdom (England, Scotland, Northern Ireland, Wales), West Indies or Zambia.

For TOEFL iBT exams taken on or before January 20, 2026, the minimum score is 105.

For TOEFL iBT exams taken on or after January 21, 2026, the minimum score is 5.0, but a score of 5.5 or higher is strongly recommended.

For IELTS, the minimum score is 8.0.

For additional information, please see the Graduate School language proficiency page.

Official Transcripts:

Required. All applicants may upload unofficial transcripts for application submission. Official transcripts are ONLY required for enrolling students before class starts. An international transcript evaluation (WES, ECE, or The Evaluation Company) is required for degrees from non-U.S. institutions before enrollment.

Applicants who are currently enrolled in an undergraduate program should plan to submit their fall semester grades as a part of their application for fullest consideration. If the application deadline passes before fall grades are available, please provide a copy of your in progress coursework if it is not included on your transcript and plan to follow up with grades when they are made available. We also encourage you to provide your in progress coursework for the spring semester, if available.

Letters of Recommendation:

Three (3) letters of recommendation required for external applications. Brown undergraduates considering the fifth-year master's degree option should submit two (2) letters of recommendation.

Recent graduates (within 3 years) and current students should provide at least 2 letters of recommendation from professors who can speak to your coursework in Computer Science.

Resume/CV:

Required

If you have any questions regarding the application process for this program, please email masters_admissions@brown.edu.

Completion Requirements

Tuition and Funding

Career Outcomes

Graduates are prepared for advanced technical roles designing, deploying and managing AI systems across industries. Career opportunities include machine learning engineer, AI engineer, AI systems engineer, data scientist and technical AI leadership roles. The program also provides a strong academic foundation for students interested in pursuing doctoral study or research-focused careers in artificial intelligence.

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Resources

Leadership

Contact

401-863-2700

cs-masters-info@brown.edu

Stephen Bach

Associate Professor of Computer Science Academic Director, Artificial Intelligence & Machine Learning Track Computer Science

stephen_bach@brown.edu

Roberto Tamassia

Department Chair

roberto_tamassia@brown.edu

Nikos Triandopoulos

Director of Graduate Studies

nikolaos_triandopoulos@brown.edu

Computer Science at Brown University

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Graduate Programs

Master of Science in Computer Science - AI / ML Track

Program Snapshot

Upcoming Dates

Master of Science in Computer Science - AI / ML Track

Program Snapshot

Upcoming Dates

Curriculum & Format

On-campus

Online

Application Information

Application Deadlines

Additional Information

GRE Subject:

GRE General:

TOEFL/IELTS:

Official Transcripts:

Letters of Recommendation:

Resume/CV:

Graduate Tuition & Fees

Scholarships

Career Outcomes

Request Information

Resources

Leadership

Computer Science at Brown University