Chief Analytics Officer (CAO) Program

Develop an effective data-driven culture

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Course Dates

STARTS ON

TBD

Course Duration

DURATION

13 Months
Online and In Person

Course Fee

PROGRAM FEE

application fee

Program Overview

The Berkeley Chief Analytics Officer (CAO) Program is a 13-month learning journey (including a two-month program break) into the world of business analytics, covering foundations necessary to lead analytics teams and drive strategic decision making. The program is led by esteemed Berkeley faculty who combine cutting-edge research with extensive industry experience. The comprehensive curriculum begins with three core modules that provide you with the foundational frameworks to build and lead a business analytics team. You will gain hands-on experience on effectively using tools that leverage artificial intelligence (AI) and machine learning (ML) to drive strategy and innovation across your organization. Following the core modules, you will choose one elective short course and engage in one required short course to further enhance your technical, analytical, and leadership skills. You will also apply program insights to a capstone project by devising a data strategy road map for your organization.

93%

of companies say that AI and ML are key to achieving their digital transformation goals.

Source: SAP & Forrester consulting survey

75%

of enterprises will shift from piloting to operationalizing AI by 2024.

Source: Gartner Top 10 trends in data and analytics 2020

33%

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

Source: Gartner Top 10 trends in data and analytics 2020

Program Highlights

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High Touch

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

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Interactive Sessions

More than 150 hours of interactive learning with faculty, industry experts, and an accomplished peer group.

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Forum

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

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Peer Learning

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

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Core Curriculum

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

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Capstone Project

Apply program insights to a real-world project guided by an industry expert learning facilitator through group coaching sessions.

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Choice of Elective

Select one elective short course to gain relevant skills specific to your career goals.

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Expand Your Network

Interact with peers, industry leaders, and faculty at the three-day in-person networking, conference, and graduation event.

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Real-World Application

Apply program insights to your job immediately.

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Alumni Benefits

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

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World-Renowned Faculty

Learn from subject matter experts and industry leaders.

Curriculum

The Berkeley CAO 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 from expert faculty and industry specialists, case studies, discussions, and group and individual exercises. The foundational curriculum includes three core modules encompassing data-based decision making, forecasting trends, and the use of AI and ML for gaining business insights. Throughout the core modules, you will work on a capstone project in which you will apply program insights to real-world business challenges. This is followed by two asynchronous short courses (one elective and one required) that will be in line with your career goals. The program concludes with a three-day networking event on the Berkeley campus in California. It is an extraordinary opportunity to meet your cohort peers, industry experts, and faculty to build a global network that will last a lifetime.
    • Economic and Statistical Foundations for Decision Making
    • Regression, Prescriptive Analytics, and Predictive Analytics
    • Machine Learning and Building Data-Driven Teams

    Note: The live online core module sessions take place between 7:00 a.m. and 10:15 a.m. PT once a week. Topics and sessions are subject to change.

    • Data Strategy: Leveraging Data as a Competitive Advantage
    • Leading Complex Projects 
    • Artificial Intelligence: Business Strategies and Applications
    • Digital Transformation: Leading People, Data and Technology
    • Fintech: Frameworks, Applications, and Strategies

    Note: Topics and sessions are subject to change.

  • Learn to make sense of and harness new technologies and technology trends to, design effective technology strategies and identify solutions to transform your business.

Capstone Strategy Project

Across the core modules, participants will apply classroom lessons to a capstone project that evolves throughout the program. You will be organized in groups or can work individually on an opportunity or problem in which you are interested.

The project asks you to take the next steps in leveraging data to drive business objectives of your organization. Group coaching sessions will be led by an industry expert serving in a learning facilitator role. Participants submit a presentation that covers the following:

  • Summarize the opportunity
  • Submit data inventory
  • List prioritization criteria for the opportunity. Include data alignment, cultural alignment, and success metrics
  • Use experimental techniques to test your analytics strategy
  • Assess the strategy implementation and propose next steps
  • Selected projects will be featured during a 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 open to the College of Business and Economics community

News and Communication

  • One-year complimentary digital subscription to the California Management Review
  • Berkeley Haas alumni newsletter
  • Subscription to the Berkeley Haas alumni jobs e-newsletter with latest job postings from distinguished employers

Berkeley Resources

  • Access to Haas Insights and the latest research and thought leadership from industry speakers and faculty
  • 30% discount on eligible future programs after completion of the Chief Analytics Officer Program and earning your Certificate of Excellence in Business Analytics Leadership
  • 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 senior managers and leaders who aim to leverage analytics in their decision-making processes and build data analytics teams in their organizations.

Participants are required to have:

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

Please note that the program focuses on foundations and foundational frameworks in business analytics. While some background in statistics and math will be necessary, the program may be elementary-level for someone possessing an appropriate graduate degree.

Faculty

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). Kariv 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.

Profile picture of professor 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. Tadelis was a senior director and distinguished economist at eBay Research Labs (2011 to 2013) and vice president of economics and market design at Amazon (2016 to 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 advise Amazon part-time as an economist fellow.

FAQs

  • The Berkeley Chief Analytics Officer Program is a 13-month learning journey (including a two-month program break) into the world of business analytics, covering foundations necessary to drive business transformation, lead analytics teams, and excel at strategic decision making. You will gain hands-on experience in effectively using tools that leverage artificial intelligence and machine learning to drive strategy and digital innovation across your organization.

  • The Berkeley Chief Analytics Officer Program is ideal for managers and senior leaders across industries who aim to leverage analytics in their digital strategies, accelerate growth and innovation, and build data analytics teams in their organizations.

  • The Berkeley Chief Analytics Officer Program has three online modules followed by one elective and one asynchronous online short course — the Future of Technology, before a graduation and networking event on the Berkeley campus. The curriculum includes Economic and Statistical Foundations for Decision Making; Data and Decisions; Regression, Prescriptive Analytics, and Predictive Analytics; Inference and Measurement; Machine Learning and Building Data-Driven Teams.

  • Upon completion of the Berkeley Chief Analytics Officer Program, participants will be awarded the Certificate of Excellence in Business Analytics Leadership from Berkeley Haas Executive Education.

  • Applications to the Berkeley Chief Analytics Officer Program can be made online and should include an updated resume or LinkedIn profile as well as professional references. The application fees vary by rounds — applying earlier will help your chances of being accepted into the program.

Apply Now

Early registrations are encouraged. Seats fill up quickly!