Build AI from the ground up.
Artificial intelligence is changing how we work, create and solve problems. But the future of AI depends on more than increasingly powerful models. It depends on computer scientists who understand the systems, algorithms, infrastructure and human contexts that make intelligent systems possible.
Brown University's master’s in computer science: artificial intelligence and machine learning track prepares students to build that future. Through a rigorous, full-stack approach to AI, students develop the technical skills to design, build, deploy and critically evaluate intelligent systems.
As a specialized track within Brown's master’s in computer science, the curriculum is designed for software engineers, computer scientists and technical professionals who want to deepen their expertise in AI without putting their careers on hold. This track is available in both online and in-person formats. Whether you study on campus or remotely, online and residential students take the same rigorous courses, learn from the same distinguished Brown faculty and earn the same degree.
Program Snapshot
Format: On-campus or Online
Length: As little as 16 months
Courses: 8
Entry terms: Spring or Fall
Deadline: January 15
Career Impact
The AI/ML track is designed for computer scientists and technically experienced professionals who want to deepen their expertise in artificial intelligence and take on increasingly advanced technical roles.
Graduates may pursue careers in technical roles and enterprise AI such as:
Technical Roles
- Machine Learning Engineer
- AI Engineer
- AI Systems Engineer
- Data Scientist/Modeling Team
Enterprise AI Roles
- AI implementation
- AI procurement
- Enterprise AI strategy
- Managing AI systems within organizations
- Technical leadership on AI teams
The curriculum also provides a strong academic foundation for students interested in further study and research in artificial intelligence and computer science.
Learn from faculty advancing AI
AI is moving incredibly fast. At Brown, students learn directly from faculty who are helping drive that progress.
The AI/ML track brings together accomplished researchers and educators working at the forefront of artificial intelligence, machine learning, computer systems and AI’s impact on society. Their research spans the fundamental methods behind intelligent systems as well as the infrastructure, applications and broader questions that will determine how AI develops.
Students benefit from an academic environment where the people teaching AI are deeply engaged in advancing it. As the field evolves, new ideas, discoveries and developments can move from the research community into the classroom — giving students an education grounded not only in what AI is today, but in where the field is going next.
