Berkeley Program on Data Science & Analytics (BPDSA)

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 on Data Science and Analytics (BPDSA) is a 6 -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, and how to lead a team with a diverse set of skill sets towards solving these problems.

Participants graduate with Certificate Of Excellence in Data Analytics.

Program Curriculum

Module I

March 11 -16, 2018 Singapore

A. Economic Analysis for Decision Making:

  • Decision Analysis and Decision Trees
  • Economic Costs vs. Accounting Costs
  • Pricing and Profit Optimization
  • Strategic Interaction
  • Incentives in Organizations

B. Data and Decisions:

  • Effective data visualization and basic concepts
  • Probability and Random Variables
  • Statistical Tests
  • Linear regressions
  • Building a data-driven culture

Module II

Virtual Sessions

Three 120 minutes sessions, each covering business case/applications

Module III

June 4 – 8, 2018 Berkeley

A. Inference and measurement:

  • A/B testing
  • Regression models
  • Multiple regression models
  • Model selection
  • Micro-econometric methods

B. Forecasting and trends:

  • Time series analyses

C. Applications:

  • Data Driven Health Care
  • Data Driven Policy I
  • Behavioural Biases
  • Industry Panels

Module IV

Virtual Sessions

Critical discussion of group project proposals, 30 minutes each

Module V

August 27 – 31, 2018 Berkeley

A. Machine Learning and Artificial Intelligence

  • Supervised Learning methods
  • Training and feature selection
  • Unsupervised Learning methods

B. Assembling a Data Science Team

  • Organizing data science
  • The skill-set landscape

C. Applications:

  • Data Driven Finance
  • Data Driven Policy II
  • Industry Panels
  • Capstone presentations and critical discussions

Key Takeaways

  • Implement best practices for assembling and leading data science teams
  • Apply relevant industry data science methods
  • Drive data-driven business decisions across the organization
  • Build a data-driven culture and data-driven policy
  • Participants graduate with Alumni Benefits

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 8 years of professional work experience

BENEFITS & RESOURCES

Alumni Benefits & Events

  • Ability to join local alumni chapters or clubs in your region
  • Lifelong access to a 39,000+ network of distinguished Berkeley-Haas Alumni
  • Invitations to Berkeley Executive Education networking events

News & Communication

  • One-year digital subscription to the California Management Review
  • Berkeley-Haas Alumni newsletter
  • A Berkeley-Haas email forwarding address

Berkeley Resources

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

Fees & Application deadlines

APPLICATION DEADLINES

  • November 20, 2017
  • December 22, 2017
  • January 22, 2018
  • February 12, 2018

APPLICATION FEES

  • Round 1: $200
  • Round 2: $300
  • Round 3: $400
  • Round 4: $500

Fee

USD 29,000

Inclusions: Program Materials

Exclusions: Travel Costs, Accommodation at Singapore and Berkeley

Program taught in:
  • English (US)

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Last updated August 7, 2019
This course is Online & Campus Combined
Start Date
Duration
6 months
Full-time
Price
29,000 USD
Deadline
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Round 2; January 22, 2018, Round 3; February 12, 2018, Round 4
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