Brown University

How this program compares

Brown University's Artificial Intelligence Graduate Certificate lists about $10.5K total tuition — roughly 4% below the $11.0K AI certificate average (59th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related quantitative field, with a minimum GPA of 3.0 and demonstrated proficiency in programming and mathematics. Some programs may accept candidates from non-technical backgrounds with relevant professional experience and strong analytical skills.

About This Program

This professional graduate certificate is designed to provide foundational and advanced skills in AI and data science for computing professionals and recent graduates. Coursework concentrates on Machine Learning and Generative AI and LLMs. Most students complete it in about 0.23 years.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Design and implement machine learning models for real-world applications.

At roughly $10.5K total, Brown University's Artificial Intelligence Graduate Certificate sits below the $11.0K average among AI certificate programs we track — the 59th percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 7 AI-related programs we track in Rhode Island, of which about 57% offer an online option. On price, it comes in cheaper than about 100% of the Rhode Island programs in our data, where typical tuition runs near $89.5K.

Career Outcomes

Brown University positions this certificate track for Data Scientist careers — typical offers cluster around $120,000. Its focus on Machine Learning and Generative AI and LLMs maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 35% 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. AI Solutions Architect
• 4. Data Scientist with AI Focus

What You'll Learn

• Design and implement machine learning models for real-world applications
• Understand AI ethical considerations and develop responsible AI systems
• Apply deep learning techniques to complex problem domains
• Evaluate AI system performance, bias, and societal impact

Curriculum Highlights

The program features immersive training through live virtual classes and integrated labs, covering statistics, exploratory data analysis, and model optimization for real-world scenarios.

Top Employers

Top employers in AI include technology companies like Google, Microsoft, OpenAI, and IBM, as well as financial services firms, healthcare organizations, and government research agencies investing in AI innovation.

Admissions

Admission to Brown University's Artificial Intelligence Graduate Certificate generally expects a graduate certificate. 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: 2
• Resume: Required
• Transcripts: Official transcripts required
• Portfolio or Writing Sample: Optional (relevant project work or published paper)

Frequently Asked Questions