Berkeley Chief Technology Officer (CTO) Program

The Berkeley CTO program is designed for participants experience in technology function that want to step into senior management roles in their career. Through a unique mixture of theory, practical teaching methods, and practitioner interactions, this program delivers the hands-on experience and skills necessary to make that transition.

 

The program enables participants to take on a more strategic view of their organization’s technology architecture and business landscape, enhance their business acumen, develop initiatives to lead the technology transformation, and implement the change management towards organizational success.

Key Benefits

  • Explore Modern Cloud and Data Management techniques.
  • Discover Artificial Intelligence and its Strategy Implications.
  • Learn Implementation Methodologies for Complex Technical Projects.
  • Drive Change With Dynamic Execution.
  • Address Security and Privacy Concerns.
  • Develop Effective, Influential Communication Styles.

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Participant Profiles

The Berkeley CTO Program is ideal for people in functional, technology solution-focused IT roles who are looking to advance their career— with the goal of moving on and moving up into a company-wide leadership role.

If you are seeking a program that grows your career, builds future technical skills, sharpens your transformation execution specialist experience, and allows you to engage with a diverse group of global peers, this is the program for you.

The program provides experienced participants who are already in established decision-making IT role the hands-on knowledge and experience necessary to step up in their careers. The program delivers the business strategy, cutting-edge technology knowledge, leadership skills, and enterprise architecture acumen necessary for these professionals to move up to a senior management role.

  • Serve or have served in a senior-level technology executive role
  • Have 10+ years of experience
  • Have the responsibility of building and deploying technology to serve their enterprises.

Program Curriculum

  • Enterprise Technology Strategy

    • Enterprise Technology Architecture
    • Connecting IT to Business Strategy
    • IT Strategy Framework
    • IT Strategy Processes
    • AI & ML: Implications to Enterprise Technology Strategy
  • Data and the Organization

    • Core Principles and Trends: Data to Insights to Strategy
    • Enterprise Strategy: Objectives for Data and the Organization
    • How to Leverage Data for the Organization
    • Data and R&D Investment
    • Cloud and Data Management
  • Leading Digital Transformation - IoT, Blockchain, & Tech Infrastructure

    • Frameworks for Technology Transformation
    • Technology Transformation in the Digital Age
    • Implementation Methodologies for Complex Technical Projects
    • Building a Digital Business Case
    • IoT and Strategy Implications
    • Future of Technology Trends and Strategy Implications
    • Strategic Applications of Blockchain Technology in Existing Businesses
    • Future of Blockchain Technology
  • Data Science for Leaders

    • Probabilistic Decision Making
    • Creating Sample Data & Testing Hypothesis
    • Extrapolating Information from Sample Data
    • Basic & Advanced Regression Models
    • Forecasting Machine Learning
    • Building Effective Data Science Teams
  • Technology Policy, Privacy, and Security

    • Security and Privacy Concerns – Strategy Considerations
    • Technical and Policy Aspects of Security and Surveillance
    • Where Cyber Policy and Technology Interact
    • Corporate Cybersecurity
    • Risk Modeling and Social Engineering
    • Privacy, Security, and Technical Systems
  • Leading Organizational Change

    • Leading Enterprise-wide Digital Transformation
    • Driving Change and Dynamic Execution
    • Power and Politics: Influencing and Navigating Your Workplace Network
    • Communication Styles for Influence
    • Negotiations
    • Cross-functional Influence
    • Multi-issue & Shadow Negotiations
Note: The list of topics is not exhaustive and is subject to change.

Faculty

  • Zsolt Katona

    Zsolt Katona

    Cheryl and Christian Valentine Associate Professor, Marketing

  • Przemyslaw Jeziorski

    Przemyslaw Jeziorski

    Associate Professor

  • Tom Lee

    Tom Lee

    Research Scientist and Associate Adjunct Professor, Operations and IT Management

  • Panos N. Patatoukas

    Panos N. Patatoukas

    Associate Professor, The L.H. Penney Chair in Accounting, Distinguished Teaching Fellow

  • Sameer Srivastava

    Sameer Srivastava

    Associate Professor and Harold Furst Chair in Management Philosophy and Values, Co-Director, Computational Culture Lab

  • Matthew Stepka

    Matthew Stepka

    Visiting Scholar/Executive in Residence, UC Berkeley Haas School of Business

  • Mathijs De Vaan

    Mathijs De Vaan

    Assistant Professor

*PROGRAM FACULTY MAY CHANGE.

Dates & Fees

Dates Length Location Tuition Fees
May 11–15, 2020 5 Days Berkeley Campus $33,000
Jun–Jul, 2020 Online
Aug 03–07, 2020 5 Days Berkeley Campus
Sep–Oct, 2020 Online
Oct 26–30, 2020 5 Days Berkeley Campus
Deadline Application Fees
Round 1 January 14, 2020 $300
Round 2 February 11, 2020 $400
Round 3 March 10, 2020 $500
Round 4 April 7, 2020 $600

Note:

  • 1) Exclusions: Travel Costs, Accommodation in Berkeley, Evening Meals