The Berkeley Executive Program in Business Analytics

Haas School of Business

Haas School of Business

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Who should attend

  • Directors
  • VPs
  • Senior Managers
  • Functional Business Managers and Business Heads
  • Leadership Roles with Oversight of Data Science Teams
  • Those with a Need to Understand Data Analytics

About the course

An 11-month learning journey into the world of applied data science and analytics

The Berkeley Executive Program in Business Analytics (EPBA) is an eleven-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.

The program offers a unique combination of theory and practice to help you accelerate your career and the data-driven performance of your organization.

  • Implement Best Practices for Assembling and Leading Data Science Teams
  • Apply Relevant Industry Data Science Methods
  • Frame Problems in a Way That is Amenable to Data Scientists
  • Identify Root Causes and Increase Clarity with Data
  • Drive Data-Driven Business Decisions Across the Organization
  • Build a Data-Driven Culture and Data-Driven Policy
  • Understand the Relationship Between Data and Decision-Making

PROGRAM TOPICS

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.

TOPIC 1 | Inference and Measurement

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

TOPIC 2 | Data and Decisions

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

TOPIC 3 | Predictive Analytics

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

TOPIC 4 | Economic Analysis for Decision Making

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

TOPIC 5 | Machine Learning and Artificial Intelligence

  • 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

TOPIC 6 | 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

TOPIC 7 | Elective Modules

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

TOPIC 8 | 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

Experts

Shachar Kariv

Education Ph.D., Economics, New York University M.A., Economics, New York University B.A., Economics, Tel Aviv University Positions Held At Haas since 2009 2009 – present, Lecturer, Haas School of Business 2014 – present, Department Chair, UC Berkeley, Department of Economics 2014 – ...

Steve Tadelis

Steve Tadelis is the James J. and Marianne B. Lowrey Chair in Business and a Professor of Economics, Business and Public Policy at Haas School of Business, University of California, Berkeley. Steve was the Joe Shoong Chair in International Business (2015-2016) and the Associate Dean for Strategic...

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The Berkeley Executive Program in Business Analytics at Haas School of Business

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

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