MBA in Business Analytics
The data-informed MBA for future business leaders
In the modern age of business and the continued expansion of AI, decisions must be made backed by data. Applied business analytics allows a manager to leverage this data using statistical analysis, including explanatory and predictive modeling and fact-based management, to drive decision-making. Analytics may be used as input for making decisions across all realms of business, including marketing, human resources, project management or research and development.
Clemson University's MBA Program has worked with industry partners to create a new concentration in business analytics designed with their needs in mind.
Data-driven companies treat their data as a corporate asset and leverage it for competitive advantage. Successful business analytics depends on having quality data to analyze and skilled practitioners who understand how to leverage the data to maximize effective decision-making for their organization.
Business Analytics students will gain exposure to software and programs like Power BI, R, Python, Tableau and others to develop effective business strategies in real-world projects.
Program Structure
The program is modeled after the structure of our highly successful part-time MBAe program, which is a unique blended program consisting of online classes coupled with a few weekends per semester in person in our facility in Greenville. This blended delivery affords students the ultimate flexibility, along with the advantage of in-person learning and networking opportunities with other students. The in-person classes are scheduled for two weekends (Friday-Sunday) per semester, and the remainder of the coursework is completed online.
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View Detailed Curriculum
Orientation & Statistics BootCamp - As part of new student orientation, students will attend a mandatory residency weekend in July for the Statistics BootCamp preparatory course.
Fall - first year Course Number & Title Credit Hours Description MBA 8180 Intro to Business Intelligence & Analytics for Managerial Decision Making 3 Online course designed to introduce common language, terminology and concepts related to business analytics as well as basic statistical concepts and skills. MBA 8040 Analytics & Statistical Modeling for Managerial Decision Making 3 Data management, model fitting, model interpretation and analysis, linear models, exploratory data analysis, classification and regression. Spring - first year Course Number & Title Credit Hours Description MBA 8990 Analytics Programming for Managers 3 Key concepts managers need to know regarding delivering analytics projects using coding languages such as Python. Students will complete multiple analyses using Python and other tools and explore methods of team coordination and technological augmentation of programming teams. MBA 8060 Operations Management 3 Capacities, facilities, tests, vertical integration, workforce issues, materials control and other issues related to business operations. Summer - first year Course Number & Title Credit Hours Description MBA 8540 Managerial Accounting 3 Analysis, interpretation, and use of accounting information for planning and controlling business decisions. MBA 8610 Information Systems 3 Critical role of information systems in business organizations. Fall - second year Course Number & Title Credit Hours Description MBA 8070 Financial Management 3 Theory of financial management as it relates to the financial problems faced by business concerns MBA 8660 Data Management & Warehousing 3 Focus on realizing business advantage and the potential of data assets and operational and business intelligence in managerial decision-making. Spring - second year Course Number & Title Credit Hours Description MBA 8170 Business Forecasting Techniques & Applications 3 Study of techniques and their applications for developing and assessing business forecasts MBA 8990 Special Topics - Marketing 3 Marketing principles essential to leading and managing the marketing function of an organization. Key topics addressed within. Summer - second year Course Number & Title Credit Hours Description MBA 8700 Strategic Management 3 Ongoing process of positioning a firm for competitive advantage in a changing environment MBA 8880 Internship (Capstone Project) 2 Required for all students. Project-based course in conjunction with MBA 8700 MBA 8810 Ethics & Leadership 1 Leadership and soft skills training. - Part-time 24-month program: Fall start only.
- The Part-time MBA in Business Analytics program is delivered in a blended online and in-person format.
- Students will meet in person twice a semester for one course during the residency weekends.
- Class times: Friday (12-8 p.m.), Saturday (8 a.m.-8 p.m.), Sunday (8 a.m.-12 p.m.)
- The remaining course(s) are completed online over the semester.
- Students will meet in person twice a semester for one course during the residency weekends.
Timeline
Application deadline: April 15, 2026*
Program start date: June 2026
EnterPrize Awards: May 2028
Graduation: August 2028
| Start Date | Application Deadline |
|---|---|
| Round 1 - Priority Deadline | Nov. 15, 2025 |
| Round 2 | Feb. 1, 2026 |
| Round 3 - Final Deadline | April 15, 2026 |
*Rolling admissions for applications received past the final deadline will be considered based on program space availability.
Cost
The part-time Clemson MBA in Business Analytics Program is assessed as a Premier Graduate Program. Tuition for the 2025-2026 academic year is $1,138 per credit hour for in-state students and $1,415 per credit hour for out-of-state students.
*Tuition rates are subject to change for future academic years. Tuition rates above do not include fees due each semester. For more information on tuition and fees, please contact Student Financial Services.
The Clemson MBA in Business Analytics Program is assessed as a Premier Graduate Program and has a special tuition rate outside the traditional graduate tiers. Please visit the Graduate School's Tuition and Fees schedule and the Student Financial Services Tuition and Fee Calculator for detailed information.
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