Chief Analytics Officer Program

Global Partners

Chief Analytics Officer Program

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


The Chief Analytics Officer Program 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 that 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

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Features, Dates, & Cost


Networking and Events

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

Berkeley Resources

  • Access to Haas Amplified – Latest research and thought leadership from Industry speakers and faculty 
  • 30% discount on eligible future programs after completion of your Certificate of Excellence in Business Analytics Leadership
  • Get an email forwarding address
  • Public visitor access to select campus libraries and university database services. (Remote and onsite access available for select services).

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


*All benefits subject to change

Program Dates & Cost

[No available dates]
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We are currently in the process of scheduling dates for this program. Please join the contact list on our partner's site to be contacted when the next program is scheduled.

Application Deadlines

Application deadlines and fees are below:

Round 1 - $300

Round 2 - $400

Round 3 - $500

Who It's For

  • 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 

Requirements & Partner


  • Undergraduate degree 
  • Fluency in written and spoken English
  • Minimum ten years of professional work experience 

Program Partners

Program Topics

The Chief Analytics Officer Program 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.

  • Sampling, surveys and biases: applications
  • Estimating parameters and deriving insights
  • Implementing statistical tests
  • A/B Testing
  • Experimentation and evaluation
  • Decision analysis - decision trees, backward induction
  • Decision making under uncertainty
  • Statistical methods to solve business problems
  • Effective data visualization
  • Game theory
  • Forecasting and trends
  • Time series forecasting and analysis
  • Linear, multiple and ANOVA regression models: business applications
  • Regression diagnostics
  • Economic costs
  • Demand estimation and pricing strategies
  • Market segmentation
  • Tools for competitive advantage
  • Designing effective incentives
  • 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
  • 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
  • Data Strategy: Leveraging Data as a Competitive Advantage
  • Leading Complex Projects 
  • Artificial Intelligence: Business Strategies and Applications
  • Digital Transformation: Leading People, Data & Technology
  • Fintech: Frameworks, Applications, and Strategies

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

Certificate of Excellence in Business Analytics Leadership

Completion of this program awards a Certificate of Excellence in Business Analytics Leadership.



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