From Data to Solutions

One-year master's program in analytics

The University of California, Berkeley Master of Analytics degree trains students to build cutting-edge data and quantitative skills preparing them for exciting roles in industry.

There is a very high demand for analytics professionals who have the ability to analyze large amounts of data and offer solutions critical for success. These skills are needed in every sector of the economy, including commerce, healthcare, information technology, entertainment, finance, energy, security, transportation, consulting, and many more.

Learn More About the Program

About the Program

The 11-month Master of Analytics program trains students in data-driven analytical methods and tools for optimization, statistics, simulation, and risk management with relevant industry context so that the graduates are not only highly skilled in the latest tools and fluent with working with large data sets, but also are able to raise the right questions to develop innovative models and find creative solutions to rapidly changing business and industry challenges, and communicate and implement their solutions.

Program Timeline

SUMMER

50 hour Python Intensive

FALL SEMESTER

Core Analytical Methods Courses

SPRING SEMESTER

Elective Courses + Analytics Lab

SUMMER

Internship (10 weeks)

Latest Methods for Decision Making

The Master of Analytics program teaches students the latest methods for data-driven decision making using tools such as:

Data Analysis

Optimization

Risk Modeling

Simulation

The Industry

These skills are used to solve complex business and industry problems in areas such as:

Pricing and Finance

Scheduling

Risk Management

Logistics & Supply Chain

Human Resources

Operations Management

IEOR

The Berkeley Master of Analytics program is offered by the Department of Industrial Engineering & Operations Research. At Berkeley IEOR, we expand the frontiers of optimization, stochastics and data science enabling transformative decision analytics and technologies to solve grand challenges in transportation, supply chains, healthcare, energy, robotics, finance and risk management.

Analytics is an enabling degree bridging Operations Research and Industrial Engineering with crucial data skills.

#3 ranked IEOR Graduate Program in the U.S. (US News)

Operations Research

Operations Research refers to theory and methods for decision-making through data analysis, optimization, risk modeling, and simulation.

Industrial Engineering

Industrial Engineering includes design, analysis, and efficient operation of industrial and business systems. These can be applied in areas such as logistics & supply chains, service operations, capacity planning, pricing, risk management, scheduling, financing, human resources.

Analytics graphic showing that operations research applies methods to industrial engineering to solve challenges with operations research

High Demand for Analytics Talent

In January 2017, there were 2.35 million Analytics and Data Science job postings in the US:

  • 535,683 in Finance and Insurance
  • 690,833 in Information
  • 511,947 in Professional, Scientific and Technical Services
  • 237,484 in Manufacturing
  • 101,711 in Retail/Trade
  • 100,000 in Healthcare and Social Assistance
  • Of these job postings 67% were in Analytics and 33% were in Data Science.1

1PricewaterhouseCoopers Job Market Report, 2017

Asset 1@2x

Job Openings: Data Science vs. Analytics

Future Graduate Titles

  • Business Intelligence Analyst
  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Machine Learning Engineer
  • Operations Analyst
  • Supply Chain Engineer
  • Quantitative Analyst

Curriculum

4 units practicum, 25 units coursework, and a comprehensive exam

Learning Goals Include:

Agile Analytics Development

Technical Communication

Project Presentation

Apply

Application Opens

September 15, 2021

Application Deadline

January 6, 2022 (Early application deadline)
March 2, 2022 (Final application deadline)

Also see admission requirements and policies, information for international applicants, as well as information about tuition, costs, and financial aid.

FAQ