Berkeley Executive Program in Business Analytics

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Course Dates



Course Duration


11 months
Online and In Person

Course Duration


Program Overview

The Berkeley Executive Program in Business Analytics (EPBA) is an 11-month learning journey into the world of business analytics, led by esteemed Berkeley faculty who combine cutting-edge research with extensive industry experience. The program's comprehensive curriculum covers three core modules that provide you with the frameworks to build and lead data science teams. Through the program, you will gain hands-on experience on effectively using tools leveraging AI/ML to drive strategy and innovation across your organization. Apart from the core topics, you can choose two additional topics to explore from a range of electives which will help enhance your technical skills. You will also apply your learnings in a capstone project to devise a data strategy roadmap for your organization.


of companies say that AI, Machine Learning, and more are key to achieving their digital transformation goals

Sources: SAP & Forrester consulting survey, Gartner Top 10 trends in data and analytics 2020


of enterprises will shift from piloting to operationalizing AI by 2024

Sources: SAP & Forrester consulting survey, Gartner Top 10 trends in data and analytics 2020


of large organizations will have analysts practicing decision intelligence, including decision modeling by 2023

Sources: SAP & Forrester consulting survey, Gartner Top 10 trends in data and analytics 2020

Program Highlights

High Touch

Live online sessions, group and individual project coaching, fireside chats, and guest lectures by industry experts.

Interactive Sessions

Take advantage of over 150+ hours of live interactive learning with faculty, industry experts, and an accomplished peer group.


Theater-style virtual classroom brings the world-class Berkeley experience to you, wherever you are.

Peer Learning

Learn from high-achieving peers from around the globe and build your network.

Core Curriculum

Kick-start your program journey with 21 weeks of in-depth core sessions in business analytics.

Capstone Project

Apply your learnings to a real-world project guided by an industry expert Learning Facilitator conducting group and individual coaching sessions.

Choice of Electives

Select two modules (eight weeks each) from a range of four topical electives to gain relevant skill sets specific to your career goals.

Expand Your Network

Interact with faculty, peers, and global industry leaders at a 3-day, on-campus networking event.

Image to accompany text - Real-world Application

Real-world Application

Apply the learnings to your job immediately.

Image to accompany text - Alumni Benefits

Alumni Benefits

Earn select Berkeley Haas Alumni benefits upon completion of the program.

Image to accompany text - World-renowned Faculty

World-renowned Faculty

Learn from subject matter experts and technology leaders.


The Berkeley EPBA delivers learning that will enable you to leverage data and analytics to drive strategy and innovation across your organization. You will learn through lectures by faculty experts and specialists, case studies, group and individual exercises, and engagements with industry experts/global leaders. The curriculum includes three core modules encompassing data-based decision-making, forecasting trends, and the use of AI/ML for gaining business insights. Additionally, you can choose to specialize in specific areas by selecting two electives from a range of topical modules in line with your career goals. The program culminates with a capstone project in which you will apply your learnings to real-world business challenges.

  • Inference and Measurement

    • Sampling, surveys and biases: applications
    • Estimating parameters and deriving insights
    • Implementing statistical tests
    • A/B Testing
    • Experimentation and evaluation

    Data and Decisions

    • Decision analysis - decision trees, backward induction
    • Decision making under uncertainty
    • Statistical methods to solve business problems
    • Effective data visualization
    • Game theory

    Regressions, Prescriptive and Predictive Analytics

    • Forecasting and trends
    • Time series forecasting and analysis
    • Linear, multiple and ANOVA regression models: business applications
    • Regression diagnostics

    Economic and Statistical Foundations for Decision Making

    • Economic costs
    • Demand estimation and pricing strategies
    • Market segmentation
    • Tools for competitive advantage
    • Designing effective incentives

    Machine Learning and Building Data Driven Teams

    • Trees, random forest and boosting
    • Analyzing machine learning approaches for business problems: neural networks, support vector machines, trees, multivariate adaptive regression splines, k-NN
    • Leveraging AI for business insights
    • Tools for supervised learning methods
    • Tools for unsupervised learning methods

    Building a Data Science Team

    • Mapping of resources from expert backgrounds to solve problems
    • Building a data science team
    • Organizational structure: centralized, distributed or hybrid
    • Designing a tech eco-system which complements the data science team
    • Developing a data-driven culture

    Note: Topics and sessions are subject to change.

    • Data Strategy
    • AI Applications and Business Strategies
    • Leading Complex Projects
    • Digital Transformation

    Note: Topics and sessions are subject to change.

Capstone Strategy Project

From session-to-session across the core modules, 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.

The project asks participants to take the next steps in their team's and organization's leveraging of data for business outcomes. Group and individual coaching sessions will be led by an industry expert serving in a learning facilitator role and include high-touch discussions. Participants submit a presentation that covers the following:

  • Summarizing the opportunity
  • Listing the prioritization criteria for the opportunity. Include, data alignment, cultural alignment, and success metrics
  • Submitting data inventory
  • Using experimental techniques to test your technology strategy
  • Assessing the strategy implementation and propose next steps
  • Participants have the opportunity to presenting the project outcomes during a final day showcase with faculty

Alumni Benefits

Earn select Berkeley Haas Alumni benefits upon completion of the program.

Networking and Events

  • Ability to join local alumni chapters or clubs in your region
  • Access to a private network of distinguished Berkeley Haas alumni
  • Invitation to the annual Berkeley Haas Alumni Conference
  • Opportunity to attend select Berkeley Haas and Berkeley Executive Education Networking events opened to the COBE community

News and Communication

  • One-year complimentary digital subscription to the California Management Review
  • Berkeley Haas Alumni newsletter
  • Subscribe to the Berkeley Haas Alumni Jobs e-Newsletter with latest job postings from distinguished employers

Berkeley Resources

  • Access to Haas Insights – latest research and thought leadership from industry speakers and faculty
  • 30% discount on eligible future programs after completion of your Certificate of Business Excellence
  • Get an @haas.executivealumni.berkeley.edu email forwarding address
  • Public access to the Long Business Library and other university database services (onsite access only)

Note: All benefits subject to change

Participant Profile

This program is ideal for managers and leaders who aim to leverage analytics in their decision-making processes and to build data analytics teams in their organizations.

Participants are expected to have:

  • A minimum of 10 years of work experience
  • Fluency in written and spoken English


Profile picture of professor Shachar Kariv

Shachar Kariv

Benjamin N. Ward Professor of Economics, Haas School of Business

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.

Faculty Member Steve Tadelis

Steve Tadelis

Professor of Economics | Sarin Chair in Strategy and Leadership, Haas School of Business

Steve Tadelis is a Professor of Economics and Sarin Chair in Leadership and Strategy at Berkeley 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.

Application Details

Round 1


Round 2


Round 3


Note: Admissions to the program are on a rolling basis. We strongly recommend interested participants apply early.

Apply Now

Early registrations are encouraged. Seats fill up quickly!