Berkeley Program on Data Science & Analytics (BPDSA)

Berkeley Program on Data Science & Analytics

The Berkeley Program on Data Science and Analytics (BPDSA) 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, 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 Science and Analytics.

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About Program

The University of California, Berkeley is the world's #1 public research university and is located in Berkeley, California.
Berkeley has 7 Nobel Prizes held by current faculty and 30 Nobel Prizes held by alumni.
3 Field Medals, 4 Pulitzer Prizes, 4 A.M. Turing Prizes and 15 National Medals of Science held by current faculty.
184 Academic Departments and Programs.
Berkeley is considered by the Times Higher Education World University Rankings as one of six university brands that lead in world reputation rankings in 2018 and is ranked #1 on the U.S. News 2018 Top Public Schools.

Why should you consider this Program?

Learn from world-renowned faculty, from the Haas School of Business and UC Berkeley
Experience curriculum tailored to accomplished professionals
Connect with a network that will challenge and support you beyond the program
Immerse yourself at the iconic Berkeley campus located in the heart of the San Francisco Bay Area

Curriculum

Economic Analysis for
Decision Making

Tools for competitive advantage
Product-line pricing analysis
Decision making under uncertainty
Designing effective incentives

Data and
Decisions

Statistical analysis in managerial decision making
Statistical methods to solve business problems
Effective data visualization

Inference and
measurement

Micro-econometric data analysis
A/B Testing
Experiments to increase profits

Forecasting and
trends

Predictive analysis
Time Series forecasting and analysis

Machine Learning and
Artificial Intelligence

Leverage ML and AI for business insights from big data
Tools for Supervised Learning Methods
Tools for Unsupervised Learning Methods

Assembling a Data
Science Team

Mapping of resources from expert backgrounds to solve problems
Design a tech eco-system which complements the data science team

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Past Participant Profiles

Participant Job Titles

Advisor Smart City of Jakarta Government
Analytics Solutions Advisor
Associate Director
AVP
Business Development Director
Business Development Manager
Business Services Manager
CEO
CFO
Change Manager
Chief Digital Officer
Chief Innovation Officer
Co-Initiator
Commercial Director
COO - BHGE Digital Products
Data Analyst
Deputy Group CEO
Director Global Enterprise Systems
Director of Innovation Unit
Executive Director
Finance Director

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Financial Consultant
FVP-Head, Risk Analytics & Systems Control Unit
General Administrator
General Manager
Group CFO
Group COO
Head Big Data Hub
Head Commercial Services Practice
Head of Business Development and Strategy
Head of Commercial Planning & Strategy
Head of Data Engineering and Big Data Platform
Head of Growth
Head of IT
Integrated Marketing Manager, Media and Data & Analytics for Latin America
Integration and Strategy Leader
Latin America Financial Planning and Analysis Director
Manager Supply Business Partnership
Managing Director
Market Insights Coordinator

Principal Consultant
Private Consultant
Sales Manager
Senior Director
Senior Director, Asia Pacific Regional Lead, GSI
Senior Manager
Senior Planner
Senior Technical Consultant
Senior Vice President Finance
Six Sigma Department Leader
Sr Analytics Director
Sr Manager Data Science and Enterprise Systems
Strategy, Business Development & Business Intelligence Manager at Nestlé Nutrition
Systems Lab Services Business Leader - Latin America
Territory Manager for Unstructured Data Solutions
Vice President Human Resources
VP, Head of Economic Modeling and Analytics Department (EMAD)

Participant Industry

Years of Work Experience

Others includes: Ecommerce, Education, Consumer Electronics, Industrial Goods, and Pharmaceuticals

Participant Countries

Bangladesh
Brazil
Chile
India
Indonesia
Kazakhstan
Kenya

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Kuwait
Malaysia
Mexico
Philippines
Saudi Arabia
Switzerland

Thailand
UAE
USA
Vietnam
Qatar

Participant Organisations

Abu Dhabi National Oil Company
ACI Logistics Limited
Apple
Baker Hughes
Banco de Oro Unibank Inc.
BHP
Brazilian Network Information Center (NIC.br)
Charoen Pokphand Foods Public Company Limited
Cinépolis Movie Theaters
Citigroup
Coca-Cola Far East Limited
Consultant
Datateam
Decision Support Center at the Saudi Royal Court
DELL EMC
Deloitte
Digital Solutions Americas S de RL de CV
DUX Diligens
EQUATE Petrochemicals Company
Equity Bank

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ExxonMobil Asia Pacific Pte Ltd
Futurmaster
GE Power
Geodis
Glinz & Company GmbH
Grupo TV
Hamad Medical Corporation
Ho Chi Minh Securities Corporation
IBM
Independent
iQor
Jakarta City
JM Smucker Company
Johnson & Johnson
Kazzinc
Keller Group PLC
Kellogg's
Maria Health
MME Connections, Inc
Nestlé
NetApp

Novartis AG
Open Innovation Partners
Oracle
Pacific Hydro
Pilmico Foods Corporation
PT Gruti Lestari Pratama
PT Prasetia Dwidharma
PT. StartupLokal
QuadX Pte Ltd
Redington (India) Ltd
Rex Publishing
Roche Pharmaceuticals
Santander
SAT
Shopping Center Management Corporation
Syngenta
The Permanente Medical Group
Vietnam Innovation Value Added Services
Vingroup JSC
Zalando SE

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Date & Fees

Module	Date	Location	Program Fees
Module 1	Mar 2–6, 2020	Berkeley Campus	USD $29,000
Module 2	Mar 23–Apr 30, 2020	Online
Module 3	May 18 – 22, 2020	Berkeley Campus
Module 4	Jun 15–Aug 7, 2020	Online
Module 5	Aug 31–Sep 4, 2020	Berkeley Campus

Exclusions: Travel Costs, Accommodation in Berkeley, Evening Meals

Application Deadlines

Round	Date	Application Fees
Round 1	21st Oct, 2019	USD $300
Round 2	25th Nov, 2019	USD $400
Round 3	23rd Dec, 2019	USD $500
Round 4	27th Jan, 2020	USD $600

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Faculty Directors

Shachar Kariv

Faculty Director

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). Shachar 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.

Steve Tadelis

Co - Faculty Director

Steve Tadelis is the James J. and Marianne B. Lowrey Chair in Business and Professor of Economics, Business and Public Policy at Haas. Steve was a Senior Director and Distinguished Economist at eBay Research Labs (2011-2013) and Vice President of Economics and Market Design at Amazon (2016-2017) where he applied economic research tools to a variety of product and business applications, working with technologists, machine learning scientists, and business leaders. He continues to advice Amazon part-time as an Amazon Economist Fellow.

Additional Faculty

Frederico Finan

Associate Professor
Jonathan Kolstad

Associate Professor
Edward Miguel

Oxfam Professor in Environmental and Resource Economics
Supreet Kaur

Assistant Professor

*Faculty is subject to change

Alumni Benefits

Ability to join local alumni chapters or clubs in your region
Access to a 39,000+ network of distinguished Berkeley-Haas Alumni
Invitations to Berkeley Executive Education networking events
Video portal, Haas insights to research highlights, industry speakers
15% discount to all future Executive Education programs
One-year digital subscription to the California Management Review
Berkeley-Haas Alumni newsletter
An @haas.executivealumni.berkeley.edu email forwarding address

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Participant Testimonials

Berkeley Program on Data Science & Analytics - Reasons to choose the program by Eruditus Executive Education

Berkeley program on data Science & Analytics - Peers & Networking by Eruditus Executive Education

Berkeley Program on Data Science & Analytics - Key Takeaways by Eruditus Executive Education

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Berkeley Program on Data Science & Analytics - Faculty by Eruditus Executive Education

Berkeley program on data Science & Analytics - Guest Speakers & Industry site visits

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Berkeley Program on Data Science & Analytics - Faculty

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