The STEM-certified MSBA program curriculum involves two semesters of study (33 total credit hours). During the program, you will develop expertise in the collection, storage, analysis, interpretation, and visualization of data, causal inference, machine learning, while learning the predominant programming languages in the field, namely SQL, R, and Python.
Non-Credit Summer Prep Coursework (8 weeks/online)
- Introduction to Programming with R
- Introduction to Programming with Python
- Statistics
Plan of Study
Fall Semester
- MIST 6360: Introduction to Business Analytics (1.5 credit hours/online)
- ECON 7720: Machine Learning & Prediction (3 credit hours)
- MIST 7600: Data Management & Analytics (3 credit hours)
- MIST 7770: Business Intelligence & Analytics (3 credit hours)
- BUSN 7900: Communications Tools for Career Effectiveness (1.5 credit hours)
- Elective (3 credit hours)
Spring Semester
- MIST 6380: Advanced Data Management & Analytics (3 credit hours)
- MIST 7990: Capstone Project (3 credit hours)
- ECON 7950: Competitive Strategy and Structure (3 credit hours)
- ECON 7710: Intro to Causal Inference (3 credit hours)
- Elective (3 credit hours)
- Elective (3 credit hours)
Electives
- MARK 7550: Social Media Marketing Strategy
- MARK 7600: Predictive Analytics
- MARK 7980: Marketing Analytics & Decision-Making
- MIST 6550: Energy Informatics
- MIST 7690: Business Process Management
- MIST 7775: Cyber Threat Intelligence
- MIST 7635: Machine Learning and Business Analytics
- MIST 7757: Data Engineering
- ECON 6760: Time Series Analysis
- STAT 6240: Sampling and Survey Methods
- STAT 6250: Applied Multivariate Analysis and Statistical Learning
- STAT 6420: Applied Linear Models
- STAT 6365: Modern Statistical Programming
- HPAM 8410: Health Informatics
Admitted MSBA candidates who are eligible for waivers from certain required courses due to their undergraduate major may substitute waived courses using additional electives. All courses require a permission from the department after an approved waiver.