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Specialized Master's Programs
MS Business Analytics and Information Management
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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 Mitch Daniels 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.

The flexibility of the MSBAIM program allows you to extend the program for one semester to have the opportunity to do an internship and deepen your knowledge.

Core Classes

Credits Course Title
2 Advanced Business Analytics
2 AI of Business Decision Making
3 Business Analytics
2 Data Mining
2 IT Project Management
2 Management of Organizational Data
2 Spreadsheet Modeling and Simulation or Optimization Models with Spreadsheets

Total Required Core Classes: 15

Restrictive Elective Classes

Credits Course Title
2 Advanced Database Management (582 Pre-req)
2 Analyzing Unstructured Data (571 pre-req)
2 Big Data
2 Cloud Computing Data Engineering
1 Cloud Computing I
2 Computing for Analytics (Python pre-req)
2 Data Science in the Cloud (Pre-req CCI)
4 Industry Practicum
2 Multivariate Analysis and Network Data
2 Optimization Mod. w/Spreadsheets
2 Python Programming
2 Spreadsheet Modeling and Simulation
2 Statistical and Machine Learning
2 Using R for Analytics
2 Visual Analytics
2 Web Data Analytics (Python proficiency expected)

Total Required Credits: 7 or 8

Capstone Courses

Credits Course Title
3 Corporate Partners (The Data Mine)
3 ELI Corporate Consulting (GSCM)
4 Industry Practicum

Total Required Credits: 3 or 4

Business Electives

These are any classes offered by the Krannert Graduate Institute (MGMT, OBHR, ECON) that is 500 level and above, that is not MIS or QM classes. They must be business focused, not analytical. If the course has "analytics" in the course name, it will not count as Business Foundations Electives.

Total Required Credits: 6

Free Electives

500 or 600 level courses of your choosing, can be outside the School of Business such as Computer Science, Engineering, etc.

Total Required Credits: 3 to 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’re considering similar online programs, compare the curriculum of our MS in Business Analytics and Information Management (MSBAIM) degree with that our of our Online MS in Business Analytics (MSBA) degree to see the similarities and differences in what you'll be learning.

Explore the Online MSBA curriculum

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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