MS in Business Analytics Curriculum
The Tepper School of Business developed the curriculum for the online Master of Science in Business Analytics (MSBA) program from the ground up with this question in mind. In consultation with global business leaders, The Tepper School determined that the greatest need is for professionals who not only have advanced analytical skills, such as machine learning and optimization, but also the appropriate business knowledge and communication skills to solve complex problems and bring value to industry.
What does industry need? We developed the Master of Science in Business Analytics curriculum with this question in mind.
In consultation with global business leaders, we determined that the greatest need is for professionals who not only have advanced analytical skills — such as machine learning and optimization — but also the business knowledge and communication skills to solve complex problems and bring value to industry.
As a STEM-designated program, the curriculum of the Full-Time MS in Business Analytics program equips students with leading-edge knowledge, skills, and experiential training 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.
Tepper Full-Time MS in Business Analytics Curriculum (9 months)
Mini 1
- Programming in R & Python
- Introduction to Probability & Statistics
- Data Exploration & Visualization
- Business Fundamentals for Analytics Professionals
- Experiential Learning
Mini 2
- Business Communication for Analytical Decision Making
- Statistical Foundations of Business Analytics
- Optimization for Prescriptive Analytics
- Modern Data Management
- Experiential Learning
Mini 3
- Managing Teams and Organizations
- Machine Learning Fundamentals
- Operations and Supply Chain Analytics
- Analytical Marketing
- Experiential Learning
Mini 4
- Business Value Through Integrative Analytics
- Machine Learning for Business Applications
- Data Analytics in Finance
- Ethics and AI
- Experiential Learning
Tepper Part-Time MS in Business Analytics Curriculum (20 months)
Yr 1 - Fall Mini 1
- Programming in R & Python
- Introduction to Probability & Statistics
- Campus Experience: BaseCamp
Yr 1 - Fall Mini 2
- Statistical Foundations of Business Analytics
- Business Fundamentals
Yr 1 - Spring Mini 3
- Machine Learning Fundamentals
- Data Exploration & Visualization
Yr 1 - Spring Mini 4
- Optimization for Prescriptive Analytics
- Business Communication
- Campus Experience: Analytics Immersion
Yr 1 - Summer Mini 5
- Modern Data Management
- Data Analytics in Finance
Yr 1 - Summer Mini 6
- Business Value Through Integrative Analytics
- Ethics and AI
Yr 2 - Fall Mini 1
- Managing Teams and Organizations
- Machine Learning for Business Applications
Yr 2 - Fall Mini 2
- Operations and Supply Chain Analytics
- Optional Elective
- Campus Experience: Capstone Overview
Yr 2 - Spring Mini 3
- Capstone
- Analytical Marketing
Yr 2 - Spring Mini 4
- Capstone
- Optional Elective
Built for Industry. Built for Today. Built for You.
Our students develop proficiency in the full range of state-of-the-art business analytics techniques; they also learn how to tell stories through and extract insights from data. Given the Tepper School’s view of a curriculum as an organic entity, our faculty continually work in concert to ensure that courses harmonize, even as they are individually updated and modified to ensure learning outcomes for students are always in step with an ever-evolving industry.
Whether you enroll full-time on campus or in the flexible online format, students will make meaningful personal and professional connections with each other and develop the strong communication, collaboration and virtual team skills that will help them succeed in today’s increasingly interconnected and global business environments.
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.
Full-time professors across the Tepper School develop and teach the MS in Business Analytics program and are deeply committed to its ongoing relevance and student success.