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MSBAIM Curriculum

Businesses know that data is one of the most powerful resources for improving process and performance if they have skilled professionals who can draw valuable insights from it.

The Mitchell E. Daniels, Jr. School of Business prepares students for the current and future landscape of business with the skills to manage and analyze data in order to implement optimal improvements in operations, from processes to policies and technologies. Our Master’s in Business Analytics and Information Management (MSBAIM) program focuses equally on both tools and techniques, putting students to work on real industry projects centered on problems in business analytics derived from leading organizations. Foundational courses elevate your technical and communication skills and select from a variety of electives that allow you to achieve your aspirations.

Your Coursework

 

 

To earn a master’s of business analytics and information management, you must complete 36 hours of coursework including data visualization, programming, analytics, technologies for innovation, as well as industry specific electives for specialization and general business electives to round out your expertise.

MSBAIM students must complete 36 hours of coursework including core analytics and information courses and industry-specific electives for specialization and general business electives to round out your expertise.

Core Classes

Credits Course Title
3 Business Analytics
2 IT Innovation and Advantage
2 Data Mining
2 Management of Organizational Data
2 IT Project Management
2 Advanced Business Analytics
2 Spreadsheet Modeling and Simulation
4 Industry Practicum
0 Professional Portfolio

Total Required Core Classes: 19

Elective Classes

Credits Course Title
2

Programming for Analytics

Students can request to test out of this course.

2 Visual Analytics
2 Using R for Analytics
2 Computing for Analytics (Python pre-req)
1 Cloud Computing I
2 Analytics and AI on the Cloud
2 Big Data
2 Statistical and Machine Learning
2 Web Data Analytics (Python pre-req)
2 Analyzing Unstructured Data (571 pre-req)
2 Multivariate Analysis and Network Data
2 Machine (Reinforcement) Learning
2 Customer Analytics
2 Macro Programming (VBA Programming)
2 Optimization Mod. w/Spreadsheets (670 pre-req)
2 Advanced Database Management
2 Data Science in the Cloud

Total Required Credits: 6

Business Electives

Any business course (MGMT, OBHR, ECON) 500 level and above, that is not a MIS or QM class.

Total Required Credits: 5

Not a complete list.

For more details on the MSBAIM curriculum, we encourage you to download our detailed plan of study.

Discover the MSBAIM Plan of Study

If you would like to receive more information about the MSBAIM program at Purdue, please fill out the form and a program specialist will be in touch.





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