The Berkeley Program on Data Science and Analytics (BPDSA) is a six-month learning journey into the world of applied data science and analytics. The program leverages 5 modules, three on-campus and two online. The program provides you with tools to build and lead data science teams through data-driven decision-making. You will learn how to promote a data-driven culture, how to translate business problems, and how to lead a team with a diverse set of skill sets towards solving these problems. Participants graduate with Certificate of Excellence in Data Science and Analytics and earn Alumni Benefits.
Hours of Learning
Immersion Sessions in Berkeley
Faculty, Practitioners and Guest Speakers
Plug into the Berkeley Haas Alumni Network and engage with over 41,000 Berkeley Haas Alumni across the world. Build your professional brand, connect with your network, advance you career or plan for the future.
From session-to-session, participants will apply classroom lessons to a capstone project that evolves throughout the course. They are organized in groups or they can work individually on an opportunity or problem they are interested in.
Hear from leading practitioners in the Silicon Valley innovation ecosystem and conduct site visits to startups, accelerator labs and innovative enterprise firms.
Past guest speakers have included:
Past site visits have Included:
Sachar Kariv is the Benjamin N. Ward Professor of Economics and former Department Chairperson, and Faculty Director of Berkeley’s Experimental Social Science Laboratory (XLab). Sachar is also the Co-Founder and Chief Scientist of Capital Preferences, where he applies his research on individual saving, investment and insurance choices to help clients make better decisions about how to design and market products and services, and improve customer acquisition, relationship, and retention.
Steve Tadelis is the James J. and Marianne B. Lowrey Chair in Business and Professor of Economics, Business and Public Policy at Haas. Steve was a Senior Director and Distinguished Economist at eBay Research Labs (2011-2013) and Vice President of Economics and Market Design at Amazon (2016-2017) where he applied economics research tools to a variety of product and business applications, working with technologists, machine learning scientists, and business leaders. He continues to advice Amazon part-time as an Amazon Economist Fellow.
Tenured Associate Professor | Distinguished Teaching Fellow
Oxfam Professor in Environmental and Resource Economics
This program is ideal for managers and leaders who aim to leverage data analytics in their decision making processes and to build data science teams in their organizations.
Diversity in multiple aspects is an important part of the learning experience. The participant mix reflects diversity across functions, industries, backgrounds, organizations and life experiences.
Berkeley Program on Data Science & Analytics - Reasons to choose the program by Eruditus Executive Education
Berkeley program on data Science & Analytics - Guest Speakers & Industry site visits by Eruditus Executive Education
|Module 1||Mar 02–06, 2020||Berkeley Campus|
|Module 2||Mar 23, 2019–Apr 30, 2020||Online|
|Module 3||May 11–15, 2020||Berkeley Campus|
|Module 4||Jun 15–Aug 7, 2020||Online|
|Module 5||Aug 31–Sep 4, 2020||Berkeley Campus|
|Round 1||21st Oct, 2019||USD $300|
|Round 2||25th Nov, 2019||USD $400|
|Round 3||23rd Dec, 2019||USD $500|
|Round 4||27th Jan, 2020||USD $600|
|Program Fees: USD $29,000|