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Lehigh University’s College of Business offers a STEM-designated master's degree in business analytics.
The MS in Business Analytics (MSBA) curriculum includes 13 courses (34 credits) in total. Courses cover all core aspects of business analytics from programming in business analytics to data management, data modeling, and data communications. Data ethics and security round out the curriculum. The MSBA program journey is completed with a capstone project that gives students real-world experience in applying what they learn in the classroom.
Students are expected to attend classes on campus. Full-time enrollment is also required for fall and spring semesters. However, with prior approval from the Program Director, eligible students may take summer courses online.
Experiences inside and outside the classroom make you a more valuable asset to a broad range of organizations and roles. A comprehensive one week orientation defined by exposure to professional development and business leaders provide context for the program.
2024 Orientation: Wednesday, August 21st - Friday, August 23rd
2024 Virtual International Student Orientation: Sunday, June 30th from 8am-10am
Required Prerequisites
- Calculus (Math 021 or Math 081 or equivalent)
- Economics (ECO 1 or equivalent)
- Statistics (ECO 45 or equivalent)
Strongly Recommended
- Basic R Programming (edX)
Don't have some or all of these prerequisites? That is ok! Please contact business@lehigh.edu to learn about different pathways to fulfill these prerequisites.
MSBA Curriculum Overview (34 credits)
- Core Courses (25 credits)
- Concentrations and Electives (9 credits)
- Optional Internship (0-1 credit)
For international students who will be working on Curricular Practical Training (CPT), or if an internship requires a domestic student to enroll in a concurrent course, students will be required to take a 1-credit internship course, for a total of 35 credits.
Degree Completion Pathways
The MSBA program can be completed in 11 to 18 months depending on your start date and if you pursue an internship.
The standard track offers the fastest path to degree completion, and the extended track is ideal for students who feel they need more time to focus on graduate school and chart their future career path, or for students wishing to pursue an internship.
View the coursework for each track by clicking below.
Standard Track
Students begin classes in late June and can expect to graduate in May of the following year.
Summer (6 credits)
- BUAN 446 Python Applications for Business (3 credits)
- DSCI 310 Introduction to Data Science (3 credits)
Fall (14.5 credits)
- BIS 458 Data Management for Managers (3 credits)
- BUAN 448 Predictive Analysis in Business (3 credits)
- BIS 411 Storytelling in Business Analytics (1.5 credits)
- BUAN 457 Artificial Intelligence for Business (3 credits)
- GBUS 405 Professional Development (1 credit)
- Elective (3 credits)
Spring (13.5 credits)
- BUAN 452 Business Analytics and Modeling (3 credits)
- BIS 412 Data Ethics and Security in Business (1.5 credits)
- BIS 415 Capstone Project (3 credits)
- Elective (3 credits)
- Elective (3 credits)
Students begin classes in late August and can expect to graduate in August of the following year.
Fall (14.5 credits)
- BIS 458 Data Management for Managers (3 credits)
- BUAN 448 Predictive Analysis in Business (3 credits)
- BIS 411 Storytelling in Business Analytics (1.5 credits)
- BUAN 457 Artificial Intelligence for Business (3 credits)
- BUAN 446 Python Applications for Business (3 credits)
- GBUS 405 Professional Development (1 credit)
Spring (13.5 credits)
- BUAN 452 Business Analytics and Modeling (3 credits)
- BIS 412 Data Ethics and Security in Business (1.5 credits)
- BIS 415 Capstone Project (3 credits)
- Elective (3 credits)
- Elective (3 credits)
Summer (6 credits)
- DSCI 310 Introduction to Data Science (3 credits)
- Elective (3 credits)
Extended Track
Students begin classes in late January and can expect to graduate in May of the following year.
No internship option available with spring start. See extended track starting in summer for fall.
Spring (10.5 credits)
- BUAN 452 Business Analytics and Modeling (3 credits)
- BIS 412 Data Ethics and Security in Business (1.5 credits)
- Elective (3 credits)
- Elective (3 credits)
Summer (6 credits)
- BUAN 446 Python Applications for Business (3 credits)
- DSCI 310 Introduction to Data Science (3 credits)
Fall (14.5 credits)
- BIS 458 Data Management for Managers (3 credits)
- BUAN 448 Predictive Analysis in Business (3 credits)
- BIS 411 Storytelling in Business Analytics (1.5 credits)
- BUAN 457 Artificial Intelligence for Business (3 credits)
- GBUS 405 Professional Development (1 credit)
- Elective (3 credits)
Spring (3 credits)
Students begin classes in late June and can expect to graduate in December of the following year.
Summer (6 credits)
- BUAN 446 Python Applications for Business (3 credits)
- DSCI 310 Introduction to Data Science (3 credits)
Fall (14.5 credits)
- BIS 458 Data Management for Managers (3 credits)
- BUAN 448 Predictive Analysis in Business (3 credits)
- BIS 411 Storytelling in Business Analytics (1.5 credits)
- BUAN 457 Artificial Intelligence for Business (3 credits)
- GBUS 405 Professional Development (1 credit)
- Elective (3 credits)
Spring (10.5 credits)
- BUAN 452 Business Analytics and Modeling (3 credits)
- BIS 412 Data Ethics and Security in Business (1.5 credits)
- BIS 415 Capstone Project (3 credits)
- Elective (3 credits)
Summer (0-1 credit)
- Optional Summer Internship (0-1 credit)
For international students who will be working on Curricular Practical Training (CPT), or if an internship requires a domestic student to enroll in a concurrent course, students will be required to take a 1-credit internship course, for a total of 35 credits.
Fall (3 credits)
- Elective (3 credits)
Lehigh University will certify international students as full-time students during the final semester.
Students begin classes in late August and can expect to graduate in December of the following year.
Fall (14.5 credits)
- BIS 458 Data Management for Managers (3 credits)
- BUAN 448 Predictive Analysis in Business (3 credits)
- BIS 411 Storytelling in Business Analytics (1.5 credits)
- BUAN 457 Artificial Intelligence for Business (3 credits)
- BUAN 446 Python Applications for Business (3 credits)
- GBUS 405 Professional Development (1 credit)
Spring (13.5 credits)
- BUAN 452 Business Analytics and Modeling (3 credits)
- BIS 412 Data Ethics and Security in Business (1.5 credits)
- BIS 415 Capstone Project (3 credits)
- Elective (3 credits)
- Elective (3 credits)
Summer (3-4 credits)
- DSCI 310 Introduction to Data Science (3 credits)*
- Optional Summer Internship (0-1 credit)**
*With approval from the program director, students participating in an internship will be allowed to take the DSCI 310 course asynchronously to accommodate their work schedules.
**For international students who will be working on Curricular Practical Training (CPT), or if an internship requires a domestic student to enroll in a concurrent course, students will be required to take a 1-credit internship course, for a total of 35 credits.
Fall (3 credits)
- Elective (3 credits)
Lehigh University will certify international students as full-time students during the final semester.
Concentrations and Electives (9 credits)
Course availability is subject to the student meeting any prerequisites or getting override approvals from the course's department. Other elective courses not listed below are subject to Program Director approval.
Select 3 of the following courses:
*Prerequisites are waived for the courses listed in this concentration.
Select 3 of the following courses:
Prerequisites are waived for the courses listed in this concentration.
Select 3 of the following courses:
Select 3 of the following courses:
- MKT 312 Marketing Research*
- MKT 325 Consumer Insights through Data Analysis
- MKT 326 Marketing Analytics in a Digital Space
- GBUS 461 Marketing Analytics
- GBUS 466 Marketing Research and Analysis
- FIN 377 Advanced Topics in Investments – Financial Data Science
- MACC 430 Data Analytics for Accountants
- MACC 419 Auditing
- SCM 330 Analytics for Service Operations
- PMGT 409 Project Management Fundamentals
- ECO 415 Econometrics I
- ECO 404 Applied Microeconometrics
- GBUS 432 Demand and Supply Chain Planning
- GBUS 453 Transportation and Logistics Management
- SCM 345 Analytical Approaches to Supply Chain Management
- DSCI 321 Algorithms and Software Foundations
- DSCI 411 Data Management for Big Data
- DSCI 421 Accelerated Computing for Machine Learning
- DSCI 431 Introduction to Statistical Models
- DSCI 441 Statistical and Machine Learning
- GBUS 421 Advanced Investments
- GBUS 422 Derivatives and Risk Management
- MATH 312 Statistical Computing and Applications
- STAT 410 Random Processes and Applications
- ISE 426 Optimization Models and Applications
- ISE 447 Financial Optimization
- GBUS 449 Talent Analytics
*Students taking MKT 312 will not receive credit for GBUS 466
Professional Development
At the core of all Lehigh Business graduate programs, students are challenged to develop their soft skills and professional networks. Students will gain valuable leadership, teamwork and communication skills ensuring they are prepared for the job market.
View the more detail in the Lehigh Business Graduate Course Catalog