Brown University

How this program compares

At an estimated $318.2K in total tuition, the Sc.M. in Computer Science - Artificial Intelligence and Machine Learning sits about 642% above the $42.9K average for AI master's programs in our database — placing it in the 100th percentile on cost among the 394 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science or equivalent is required, with strong preparation in introductory programming, algorithms and data structures, computer systems, discrete mathematics, probability, and linear algebra. GRE scores are typically not required.

About This Program

Brown University's Sc.M. in Computer Science with an Artificial Intelligence and Machine Learning focus offers an Ivy League education with Brown's distinctive emphasis on intellectual flexibility and close student-faculty collaboration. The program covers core ML, deep learning, and AI theory.

Brown's small, research-active CS department and Ivy brand make it well-suited to students who want rigorous AI training in an intimate, exploratory academic environment.

Career Outcomes

The Sc.M. in Computer Science - Artificial Intelligence and Machine Learning at Brown University (Providence, Rhode Island) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $140,000. Its focus on Computer Vision and Machine Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI Software Engineer

What You'll Learn

• Design and implement machine learning models for predictive analytics.
• Develop deep neural networks for complex pattern recognition tasks.
• Apply AI techniques to natural language processing and generation.
• Build computer vision systems for image and video analysis.
• Optimize reinforcement learning algorithms for sequential decision-making.

Curriculum Highlights

The curriculum includes eight required graduate courses, featuring core modules in data engineering and statistical learning, and culminates in a significant experiential project.

Top Employers

Top employers include Google, Meta, Amazon, Microsoft, and OpenAI.

Admissions

Admission to Brown University's Sc.M. in Computer Science - Artificial Intelligence and Machine Learning generally expects a bachelor's degree. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions