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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.

Restrictive Selectives

Credits Course Title
2 Advanced Business Analytics
2 Advanced Database Management (58200 Pre-req)
2 AI-Enhanced Optimization
2 Analyzing Unstructured Data
2 Analyzing Unstructured Data (MGMT 57100 Pre-req)
2 Big Data and ML Ops
2 Big Data Technologies
2 Cloud Computing Data Engineering
2 Cloud Computing I
2 Computational Business Intelligence (Python proficiency expected)
2 Computing for Analytics (MIS 58600 Pre-req)
2-3 Computing for Analytics
1-4 Corporate Consulting Experiential
3 Corporate Partners (The Data Mine)
2 Data Science in the Cloud
2 DevOps and Technology Solutions
2 Emerging Technologies and Business Models
2 Machine Learning
2 Multivariate Analysis and Network Data
2 Optimization Mod. w/Spreadsheets
2 Python Programming
1-4 Reinforcement Learning for Large Language Models
2 Spreadsheet Modeling and Simulation
2 Statistical and Machine Learning
2 Using AI for Analytics
2 Visual Analytics
2 Web Data Analytics (Python proficiency expected)

Total Required Credits: 7 or 8

Capstone Selectives

Credits Course Title
2 Corporate Partners (The Data Mine)
2 Corporate Consulting Experiential Learning
2 Industry Practicum

Total Required Credits: 3 or 4

Business Electives

These are any classes offered by the Mitch Daniels School of Business graduate programs. They must be business-focused, not analytics centered.

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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We also have availability to meet with you virtually to discuss how your goals align with our curriculum, community, student experiences, and outcomes to determine if Purdue is the right fit for you!

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