Berkeley Program on Data Science & Analytics

Data science and data analytics are at the core of every modern globalized industry. Working in today’s technology-centric workforce not only requires superior leadership skills, but the ability to translate data problems into the bigger picture for the organization.

The Berkeley Program on Data Science and Analytics (BPDSA) is a 6 -month learning journey into the world of applied data science and analytics. The program provides executives tools to build and lead data science teams through data-driven decision-making. Led by esteemed Berkeley Faculty with both cutting-edge research and industry experience, the program provides a unique combination of theory and practice to help you accelerate your career and the data-driven performance of your organization.

Participants graduate with Certificate of Excellence in Data Science and Analytics.

Key Benefits

  • Implement best practices for assembling and leading data science teams
  • Apply relevant industry data science methods
  • Drive data-driven business decisions across the organization
  • Build a data-driven culture and data-driven policy
  • Participants graduate with Alumni Benefits

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Participant Profiles

Participants might come from large or medium sized firms who are focused on building and leading data science teams through data-driven decision-making.

  • Undergraduate degree
  • Fluency in written and spoken English
  • Minimum 8 years of professional work experience
  • Participant Industry

    Participant Industry
  • Years of Work Experience

    Years of Work Experience

Program Curriculum

  • Economic Analysis for Decision Making

    • Tools for competitive advantage
    • Product-line pricing analysis
    • Decision making under uncertainty
    • Designing effective incentives
  • Data and Decisions

    • Statistical analysis in managerial decision making
    • Statistical methods to solve business problems
    • Effective data visualization
  • Inference and measurement

    • Micro-econometric data analysis
    • A/B Testing
    • Experiments to increase profits
  • Forecasting and trends

    • Predictive analysis
    • Time Series forecasting and analysis
  • Machine Learning and Artificial Intelligence

    • Leverage ML and AI for business insights from big data
    • Tools for Supervised Learning Methods
    • Tools for Unsupervised Learning Methods
  • Assembling a Data Science Team

    • Mapping of resources from expert backgrounds to solve problems
    • Design a tech eco-system which complements the data science team
Note: The list of topics is not exhaustive and is subject to change.

Faculty Director

  • Shachar Kariv

    Shachar Kariv

    Faculty Director

    Shachar Kariv is the Benjamin N. Ward Professor of Economics and former Department Chairperson, and Faculty Director of Berkeley’s Experimental Social Science Laboratory (Xlab). Shachar 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

    Steve Tadelis

    Co - Faculty Director

    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 economic 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.



Dates & Fees

Dates Length Location Tuition Fees
May 18 – 22, 2020 5 Days Singapore $29,000
Jun 22 – Jul 24, 2020 Online
Aug 10 – 14, 2020 5 Days Berkeley Campus
Sep 7 – Oct 2, 2020 Online
Oct 26 – 30, 2020 5 Days Berkeley Campus
Deadline Application Fees
Round 1 January 27, 2020 $500
Round 2 February 24, 2020 $600
Round 3 March 23, 2020 $800
Round 4 April 20, 2020 $900