Master of Science in Business Analytics

OUTGROW THE EXPECTED

It's Your Turn.

 One-Year STEM-Designated Program         Convenient Classes in San Francisco       August Start

Impact Through Innovation, Powered by Collaboration

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UC Davis MSBA Class of 2025 on campus

We’re more than a cohort.

We’re a network of collaborators, challengers, mentors and co-creators. At the UC Davis Graduate School of Management, you'll find a tight-knit group that roots for your success—and pushes you to think beyond limits.

You’ll grow here. Then you’ll help others grow. 

Experience the power of teamwork as you collaborate on real-world projects, learning-by-doing in a dynamic and supportive environment. Our yearlong practicum moves you from classroom concepts to client-ready strategies.

It’s not just proximity to power. It’s access to people who shape the future.

We're the only business school spanning and connecting Northern California’s Super-Region: the most powerful intersection of innovation, policy and purpose in the world. You’ll thrive in the global innovation hub of San Francisco and Silicon Valley, networking with trailblazers who are pushing the envelope on AI, business analytics and data-driven decision making.

Experience the UC Davis Difference

Experience a slice of student life in our Master of Science in Business Analytics program in San Francisco.

A vibe unlike any other.

Immerse yourself in a top-ranked MSBA program with a close-knit community that inspires others to achieve, helps others to succeed, builds trust and challenges you as a collaborative leader.

By the time you graduate from the Master of Science in Business Analytics program, you’ll be fluent in analytics, data, business strategy and hands-on practice, and ready to lead with insight in a data-driven world.

✅  Lead with clarity.
Build expertise in leadership, strategy, communication and project management to drive real organizational results.

✅  Master the data lifecycle.
Gain hands-on experience in acquiring, storing, managing and visualizing data.

✅  Dig into the data.
Apply statistical modeling, databases, regression, data mining, machine learning and operations research methods.

  Put learning into action. 
Learn-by-doing through live, analytic practicum projects with corporate sponsors and globally ranked faculty mentors.