Curriculum designed to advance your career
Quickly transform your career by solving business problems with a deep understanding of business analytics methods and tools. Tailor our robust curriculum to your desired area of expertise. Become a data-informed creator who is equipped to change industries or launch a new venture.
The master's in business analytics is 36 credit hours. The coursework includes foundations in managing, analyzing, and conveying business data, followed by analytics elective courses to deepen skills and understanding in business application areas such as finance, accountancy, and supply chain management.
Fall Schedule
Students take 12 hours of general coursework plus 6 hours of electives in the fall semester, including a practicum course to apply what you are learning in the classroom to live client data sets.
- Enterprise Database Management helps students to identify what data they need to answer a question. It introduces issues in pulling and cleaning data so that you can generate meaningful queries and form helpful data models.
- Big Data Analytics teaches students to answer questions about causal inferences and predictions. Learn to use scalable tools and methods for a wide range of analyses.
- Data Storytelling shows students how to convey compelling answers to questions and to use tools to generate compelling visualizations and narratives, with an understanding of the choices they are making regarding data presentation.
Spring Schedule
Students choose 18 credit hours of electives in the spring semester. You can select 16-24 credit hours of analytics electives plus 0 to 8 credit hours of general electives.
This sample spring semester curricula illustrates pathways in specific areas you can specialize in.
Accounting Analytics Pathway
- Data Analytics for Management Accounting
- Data Analytics Foundations for Accountancy
- Statistical Analyses for Accountancy
- Data Analytics Applications in Accountancy
- Risk Management and Innovation
- Analytics Practicum
Business Analytics Pathway
- Business Intelligence
- Data Infrastructure
- Social Media Strategy
- Predictive Data Analytics
- Data Science and Analytics
- Analytics Practicum
Financial Analytics Pathway
- Applied Financial Econometrics
- Machine Learning in Finance
- Financial Innovation
- Financial Risk Management
- Financial Data Management
- Analytics Practicum
Elective courses are subject to change. Each one may not be available every semester.
