University of California, Berkeley

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: A bachelor's degree with a minimum GPA of 3.0, quantitative background in statistics or programming (e.g., Python knowledge), and relevant work experience are typically required; GRE is optional.

About This Program

This online professional program prepares data science leaders to manage and analyze large-scale, heterogeneous datasets using a multidisciplinary curriculum.

Career Outcomes

Excel as Data Scientist in Cross-Industry AI with machine learning expertise

• 1. Data Scientist
• 2. Machine Learning Engineer
• 3. Data Engineer
• 4. Analytics Manager

What You'll Learn

• Apply machine learning algorithms to real-world datasets
• Design and engineer scalable data pipelines
• Perform statistical analysis and causal inference on complex data
• Create effective data visualizations for decision-making

Curriculum Highlights

The 27-unit structure includes core courses in data engineering and applied ML, advanced electives, a 2–3 day on-campus immersion, and a capstone project.

Top Employers

Top employers include Google, Amazon, Meta, and consulting firms like McKinsey and Deloitte.

Admissions

A bachelor's degree with a minimum GPA of 3.0, quantitative background in statistics or programming (e.g., Python knowledge), and relevant work experience are typically required; GRE is optional.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)