Program Overview

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Master of Science in Business Analytics

The Master of Science in Business Analytics (MSBA) program at the Tepper School of Business is designed to equip students with leading-edge knowledge, skills, and experiential training in methodology, software engineering, corporate communication, and business domain knowledge. The program is offered jointly by the Tepper School of Business and Carnegie Mellon's School of Computer Science.

Program Overview

The MSBA program is a STEM-designated program that provides students with advanced analytical skills, such as machine learning and optimization, as well as business knowledge and communication skills to solve complex problems and bring value to industry. The program is designed to meet the needs of professionals who want to drive product innovation and advance their careers as product managers.

Curriculum

The MSBA curriculum is designed to provide students with a comprehensive education in business analytics. The program includes courses in:

• Methodology, including machine learning and optimization
• Software engineering, including large-scale data management and programming in R and Python
• Corporate communication, including communicating with non-technical stakeholders
• Business domain knowledge, including marketing, operations, accounting, finance, and people analytics

Full-Time MSBA Curriculum (9 months)

The full-time MSBA program is a 9-month program that includes the following courses:

Mini 1

• Programming in R and Python
• Introduction to Probability and Statistics
• Managing People and Teams
• Business Fundamentals
• Experiential Learning

Mini 2

• Business Communication
• Statistical Foundations of Business Analytics
• Machine Learning Fundamentals
• Modern Data Management
• Experiential Learning

Mini 3

• Optimization
• Data Exploration
• Elective
• Elective
• Capstone

Mini 4

• Business Value for Integrative Analytics
• Machine Learning for Business Applications
• Elective
• Elective
• Capstone

Part-Time MSBA Curriculum (20 months)

The part-time MSBA program is a 20-month program that includes the following courses:

Yr 1 - Fall Mini 1

• Programming in R & Python
• Introduction to Probability & Statistics
• Campus Experience: BaseCamp (Optional)

Yr 1 - Fall Mini 2

• Statistical Foundations of Business Analytics
• Business Fundamentals

Yr 1 - Spring Mini 3

• Modern Data Management
• Data Exploration & Visualization

Yr 1 - Spring Mini 4

• Machine Learning Fundamentals
• Business Communication
• Campus Experience: Analytics Immersion (Optional)

Yr 1 - Summer Mini 5

• Optimization for Prescriptive Analytics
• Data Analytics in Finance

Yr 1 - Summer Mini 6

• Operations and Supply Chain Analytics
• Ethics and AI

Yr 2 - Fall Mini 1

• Organizations to Managing Teams and People
• Business Value Through Integrative Analytics

Yr 2 - Fall Mini 2

• Machine Learning for Business Applications
• Optional Elective
• Campus Experience: Capstone Overview (Optional)

Yr 2 - Spring Mini 3

• Capstone
• Analytical Marketing

Yr 2 - Spring Mini 4

• Capstone
• Optional Elective

Business Analytics Learning Outcomes

Upon completing the program, MSBA students will be able to:

• Demonstrate a depth of knowledge of quantitative and analytical tools for decision-making
• Make appropriate judgments regarding managing, manipulating, and analyzing large data sets
• Develop and/or efficiently apply computer software to implement analytical techniques
• Identify the potential and challenges of applying data analytics in a business environment
• Communicate effectively and persuasively

World-Renowned Faculty

MS in Business Analytics students learn from and engage with the world's foremost experts in business analytics and benefit from course material that incorporates our faculty's leading-edge research.

Master of Science in Business Analytics Courses

The Master of Science in Business Analytics (MSBA) courses equip students with leading-edge knowledge, skills, and experiential training in methodology, software engineering, corporate communication, and business domain knowledge. The courses include:

46-880 Introduction to Probability and Statistics (6 units)

This course introduces tools for decision-making under uncertainty, ranging from the fundamentals of probability theory, decision theory, and statistical models to basic software for data analysis.

46-881 Programming in R and Python (6 units)

This course provides an introduction to programming in Python and R, two of the most popular languages for data analytics.

46-882 Business Fundamentals (6 units)

This course provides a basic introduction to general business management.

46-883 Statistical Foundations of Business Analytics (6 units)

The objective of this course is to help you learn to analyze data and use methods of statistical inference in making business decisions.

46-884 Modern Data Management (6 units)

The focus of this course is on managing and retrieving data of all types (structured, semi-structured, or unstructured), from both technical and business perspectives.

46-885 Data Exploration (6 units)

This course provides an introduction to the principles and techniques for data visualization.

46-886 Machine Learning Fundamentals (6 units)

In this course, we explore common machine learning techniques and think about the application of these techniques to both structured and unstructured datasets found in business.

46-887 Machine Learning for Business Applications (6 units)

This course continues the introduction of machine learning techniques with a particular emphasis on business applications.

46-888 Optimization (6 units)

Mathematical optimization technology is key to turning data into better decision-making.

46-889 Business Value for Integrative Analytics (6 units)

This is an integrative course that charts the path to value from analytical modeling for business problems.

46-890 Managing People and Teams (6 units)

This course introduces students to both the micro and macro perspectives of organizational behavior and theory.

46-892 Data Analytics in Finance (6 units)

The course will address several areas of finance that rely heavily on data analytics.

46-893 Operations and Supply Chain Analytics (6 units)

Operations and supply chain analytics is concerned with the development and application to data of business analytics tools to support high-impact strategic, tactical, and operational decisions within both manufacturing and service firms.

46-894 Analytical Marketing (6 units)

Marketing has become much more quantitative and data-intensive in recent years.

46-897 Business Communication (6 units)

This course will be aimed at helping the MSBA students know how to target their future business audiences.

46-898 Ethics and AI

This course will explore the ethical challenges that businesses face when making use of AI.

46-991 Experiential Learning (3 units)

Early-career business professionals must demonstrate not only technical skills, but also strong communication, executive presence, and the ability to collaborate across cultures.