Become the talent top companies seek

Ready to innovate and lead across industries? UC Berkeley’s Master of Analytics program is taught by world-renowned faculty in the heart of the San Francisco Bay Area, offering cutting-edge curriculum in advanced analytics and constant industry engagement.


Common Job Titles


• Business Analyst

• Data Analyst

• Data Engineer

• Data Scientist

• Machine Learning Engineer

• Business Intelligence Engineer

• Sales Data Analyst

• Lead Data Science & Analytics

• Operation Analyst

• Performance Marketing Analyst

Industries


• Technology

• Consulting

• Sales & Marketing

• Finance

• Healthcare & Biotech

• Manufacturing

• Non-Profit & Legal

120,000

Average Base Salary

$100,000- $240,000

Base Salary Range

$20,000

Average Signing Bonus

Program Highlights

Full-time
STEM-designated
In-person

• One-year

The Berkeley MAnalytics application opens on September 10 and is due on Monday, January 6 for Fall 2025 enrollment.

Learn more about scholarship opportunities here.

1-Year Full-Time Cutting-Edge Curriculum

Master cutting-edge methods in machine learning, risk modeling, simulation, data analysis, python, and more. Plus industry internships to gain immediate experience.

Vibrant Bay Area & Silicon Valley Connections

When you attend Berkeley Analytics, you join the unmatched innovation ecosystem of the Bay Area and Silicon Valley.

Team-Based Experiential Learning

Join our Analytics Lab, where student teams solve real business challenges and then showcase their projects to industry partners and the Cal community.

Renowned Berkeley Engineering Faculty & Research Facilities

Learn from world-class faculty and leverage top-tier International Research Institutes & Centers.

Comprehensive Career Support

Benefit from personalized career coaching and extensive support tailored to your professional goals.

Industry Engagement

Connect with industry leaders through career fairs, networking events, info sessions, and more.

Snapshot of companies who hired MAnalytics

Our graduates secure evolving roles such as Machine Learning Engineer, Data Engineer, and Business Intelligence Engineer, in addition to more traditional data scientist positions.

Employment Outcomes