Chief Analytics Officer Program
Chief Analytics Officer Program
Overview
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.
Features, Dates, & Cost
Benefits
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 @haas.executivealumni.berkeley.edu 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
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
Requirement
- 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.
Faculty
Testimonials
"It’s been a year since I completed the BPDSA program and my team has accomplished a lot with the knowledge and skills that I learned from the program. When I was assigned to handle the quantitative team of the bank’s Risk Management Group, three years ago, I was really at a loss. Coming from Treasury business, modeling is like riding a bike again for the first time after a long time...The lectures taught me a lot of basics that me and my team do not know. As basic as dividing your data into train, test, and validation... I can go on and on, as we also did a lot of analyses using the knowledge I got from the lectures. The influence that the program did to our methodologies is so huge that I really want to thank Berkeley Haas, for giving me such a strong foundation on managing a quantitative team... Oh and how could I forget to mention, my team now are all using python! I converted the notebooks of Keeley to pandas and shared it with them, now we are developing our models using R and python. I can say that the entire risk management group is already data driven. Maybe my proudest achievement is converting how the Operational Risk team think about data. From a very qualitative way of setting limits and measurement of risks, now they are already data driven. You are really right, it is a LEADERSHIP thing, I convinced the heads and now simulations and correlations became household terms in their shop."
- Head of Enterprise Risk and Strategic Support Division, Metropolitan Bank and Trust Company"The BPDSA was the only one (program) which offered an executive approach to Data Science, from building the team, profiling, tolling and structuring it to finding solutions in the market and proposing and tracking projects making sure the desired results not only are achievable but made sense. The BPDSA mixed a good portion of the needed theoretical/math skils with very practical real cases. It also brings some industry insight from data science applications in the real business world. Data Science is very challenging as the projects would vary depending on bus. needs and resources available, the program gives us a solid base for us to build our skills and competencies needed in the DS world."
- Lab Service Leader, IBM Systems