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MS in Business Analytics Curriculum

You'll be able to enter the workplace with a deep knowledge of both the theory and practice of business analytics as our curriculum provides you with the skills and knowledge to:

  • Understand business challenges and priorities, and learn to address such challenges using the appropriate data and suitable econometric analytical tools. 
  • Identify the data needed to evaluate potential opportunities to leverage analytically driven decision making to increase the value of the firm. 
  • Understand the challenge of privacy protection of customers, and the balance between privacy protection and personalization of business offerings
  • Learn foundational techniques and tools required for business analytics and data science, covering mathematics, statistics, software.
  • Select and apply appropriate analytical techniques, models, and frameworks to business decisions; and be able to summarize and analyze quantitative information using statistics and data visualization
  • Write clear, well-documented, and effective memoranda and reports; prepare and deliver professional-quality presentations; work effectively on a project in a team

To complete the program, you must complete at least 48 units, spread over 36 units of required (core) units as well as a minimum of 12 units of elective credits. †

Business Analytics Core Topics

Courses in the MS Business Analytics degree are arrayed in four clusters: Business Foundations, Statistics and Optimization, Business Analytics, and Technology.

Business Foundations Topics - all required:

Principles of Marketing

Principles of Finance

Microeconomics for Business Decision with Econometric Applications

Statistics and Optimization - required:

Math for Finance & Analytics

Business Analytics - all required:


Marketing Analytics

Business Analytics Practicum/Capstone

Technology - all required:

Machine Learning

Data Analytics (with Python)

R programming

Database Management Systems - Fundamentals

Business Analytics Elective Topics

Analytics of Optimal Pricing & New Product Decisions

Time-Series Analysis

Analytics of Finance


Marketing Analytics II

Database Management Systems - Design, Development & Administration

Automated Software Build & Release Systems

Big Data Modeling & Analytics

Data Visualization

Mobile Payment & Blockchain

Deep Learning

Social Network Analytics


Note: Courses are subject to change and availability in a given quarter is not guaranteed.