Berkeley Program on Data Science & Analytics

The Berkeley Executive Program on Data Science & Analytics

A six-month learning journey into the world of applied data science and analytics
 
 

About the Program

Data science and data analytics are at the core of every modern globalized industry. Working in today's technology-centric workforce not only requires superior leadership skills, but the ability to translate data problems into the bigger picture for the organization. The Berkeley Program in Data Science and Analytics (BPSDA) is a six-month learning journey into the world of applied data science and analytics. The program will prepare you with the tools to build and lead data science teams through data-driven decision-making. You will learn how to promote a data-driven culture, how to translate business problems into data problems, and how to lead a team with a diverse skill set towards solving these problems. 


The program leverages a global perspective on data science and analytics with five total modules, three in-person and two online. The in-person modules take place at the UC Berkeley campus and in Singapore. Led by esteemed Berkeley Faculty with both cutting-edge research and industry experience, the program provides a unique combination of theory and practice to help you accelerate your career and the data-driven performance of your organization. You will leave the immersive six-month hybrid learning journey with developed leadership skills, a deeper understanding of theory, and the ability to apply data science decision-making to your organization and role. Following completion of the program, you will receive a Certificate of Excellence in Data Science & Analytics. 
 

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 Dates

Program Topics

The Berkeley Program on Data Science & Analytics curriculum covers the following topics:

Topic 1 |
Economic Analysis for Decision-Making

Topic 2 |
Data and Decisions

  • A/B Testing
  • Regression Models
  • Multiple Regression Models 
  • Model Selection
  • Micro-Econometric Models

Topic 4 |
Forecasting and Trends: Time Series Analyses

Topic 5 |
Machine Learning and Artificial Intelligence

Download the program topics

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

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

Cost & Alumni Benefits

Program Fee
$29,000

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 Berkeley Executive Education networking events 

Berkeley Resources

  • Access to the UC Berkeley Long Business Library 
  • Video portal, Haas insights to research highlights, industry speakers 
  • 15% discount on all future Berkeley Executive Education programs 

News and Communication 

  • One-year digital subscription to the California Management Review 
  • Berkeley Haas Alumni newsletter 
  • Receive an @haas.executivealumni.berkeley.edu email forwarding address 

 

*All benefits subject to change
 

Application Deadline

Application Deadlines are noted below. Please note that the application fees vary based off of the date which you apply.

January 28, 2019 - Application Fees: $500
February 25, 2019 - Application Fees: $600
March 25, 2019 - Application Fees: $800
April 22, 2019 - Application Fees: $900

Certificate of Excellence in Data Science

Completion of this program awards a Certificate of Excellence in Data Science. 

 

Faculty

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