Brown University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

Career Outcomes

Gain machine learning skills to advance as Data Scientist in Cross-Industry AI

• 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

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.

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)

Academic Requirements

• Degree Required: Graduate Certificate
• GRE/GMAT: Not required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)