Program Overview

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Introduction to the Master of Analytics Program

The UC Berkeley Master of Analytics degree is a STEM-designated program that offers students the opportunity to develop comprehensive end-to-end analytics expertise. The program is designed to equip students with the skills and knowledge needed to transform data into strategic solutions for various sectors, including technology, finance, retail, supply chain, manufacturing, and more.

Program Structure

The 12-month curriculum features core analytics courses, hands-on capstone projects, a Career Foundations Course, and a summer industry internship. The program is divided into several components:

• Python Intensive (50 hours): Summer, Month 0-1
• Core Analytical Methods Courses: Fall, Month 2-6
• Elective Courses + Analytics Lab: Spring, Month 7-10
• Internship (200 hours): Summer, Month 11-12

Career Growth and Support

The program provides comprehensive support to help students achieve their career goals, including:

• Professional development opportunities
• Interactive workshops
• A semester-long career foundations course
• Employer information sessions
• Career fairs
• Dedicated career coaching
• Proximity to Silicon Valley, ensuring top recruiters regularly attend career fairs and are within reach for interaction

Career Outcomes

The program has a strong track record of career outcomes, with:

• 100% of students securing internships
• A salary range of $100,000-$244,000
• An average graduate starting salary of $120,000
• An average signing bonus of $10,000

Faculty and Research

The Berkeley Analytics faculty are trailblazers, pioneering cutting-edge research and innovative methodologies that drive analytics forward. They bring this expertise directly into the classroom, designing an innovative curriculum that prepares students to become leaders and innovators in their careers. The faculty includes:

• Ilan Adler, Head MEng Advisor, Industrial Engineering and Operations Research
• Anil Aswani, Head Undergraduate Advisor, Industrial Engineering and Operations Research
• Paul Grigas, Associate Professor, Industrial Engineering and Operations Research
• Alper Atamturk, Program Director for MAnalytics and Professor, Industrial Engineering and Operations Research
• Ying Cui, Assistant Professor, Industrial Engineering and Operations Research
• Lee Fleming, Professor, Industrial Engineering and Operations Research

Diversity and Inclusion

The UC Berkeley Master of Analytics program values diversity as essential for developing future leaders, creating innovative solutions, and serving society. The program embraces the wide range of identities and characteristics that make individuals unique and stands firmly against all forms of racism, inequality, and discrimination.

Events and Deadlines

The program offers various events and deadlines, including:

• Bioengineering Seminar: Deep Learning and Deep Sequencing for mRNA Design
• Talking Tech Transfer: Patenting and Licensing IP Fundamentals
• Student Union Open House 2025

Alumni Testimonials

The program has received positive testimonials from alumni, including:

• Adrian Enders, MAnalytics ’24
• Serah Varghese, MAnalytics ’23
• Ruizhe (Allen) Zhou, MAnalytics ’24
• Megha Setia, MAnalytics ’24
• Jack O’Donoghue, MAnalytics ’23

Conclusion

The UC Berkeley Master of Analytics program is a comprehensive and innovative program that provides students with the skills and knowledge needed to succeed in the field of analytics. With its strong faculty, comprehensive curriculum, and commitment to diversity and inclusion, the program is an excellent choice for students looking to advance their careers in analytics.