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CurriculumOnline MS Business Analytics

Data is one of the most powerful resources for improving processes and performance for businesses who’ve invested in skilled data analysts.

The Mitch Daniels School of Business prepares students to draw valuable insights and implement optimal improvements in operations, procedures, and policies. Our online Master of Science in Business Analytics (MSBA) program focuses equally on both tools and techniques, putting students to work on real industry projects. Foundational courses elevate your technical and communication skills and a variety of electives allow you to tailor your studies to achieve your goals.

30 Credit Hour

program

Your Coursework

Online MSBA students must complete 30 hours of coursework including core data and information courses, industry-specific electives for specialization, and general business electives to round out your business acumen.

Foundational Courses

5 Foundational Credits

Business Analytics Selectives


10 credits

  • Advanced Quantitative Economics with Python
  • AI-Assisted Big Data Analytics in the Cloud
  • Computational Business Intelligence
  • Database and SQL
  • Deep Learning for Business Analytics
  • Management Practicum

    Management Practicum

    This course provides Daniels School students pursuing business careers an opportunity to apply the knowledge learned from their studies in an applicable area. This course is designed to polish and integrate the knowledge, skills, and abilities you have developed from your coursework by successfully developing a solution with an industry partner in a structured fashion. Thus, you will devote most of your time to working with your project teammates to provide the answers and deliverables specified by the partner over the semester. Your project team will be given a project description. In some cases, a data dictionary and access to datasets may be provided by the company (e.g., in a data analytics project or an HR project). Whereas, in other cases, the data may have to be searched for from external sources (e.g., market research, or strategic fore-sighting exercises). By the end of this course, you will have developed and presented a solution to a challenging industry problem in an agile fashion.

  • Marketing Analytics
  • Project Management
  • Quantitative Economics with Python
  • Spreadsheet Modeling and Simulation
  • Statistical Machine Learning

    Statistical Machine Learning

    This is an introductory course in statistical and machine learning. It will cover fundamental concepts and essential tools that are critical in understanding cutting-edge machine learning techniques. Students will develop skills in applying a wide variety of modeling and prediction methods. Topics include linear regression, classification, regularization and shrinkage methods, nonparametric regression, tree-based methods and support vector machines. An integral part of this course is the extensive use of the open-source statistical software R. Students will gain hands-on experience in analyzing datasets commonly used in business and economics.

  • Supply Chain Analytics
  • Using AI For Business Analytics
  • Web Data and AI Applications

Additional Electives


4 Credits

Students may choose elective courses to suit their individual interests. They may use as additional electives any 500/600-level ACCT, DSB, ECON, FIN, MIS, MKTG, QM, SCOM, or STRT courses or credits that they have NOT used for filling other requirements.

In addition to the traditional 2 or 3 credit general business courses, there are also "Essentials of" courses offered for many of these same courses, but in a condensed 4-week period. All “Essentials of” courses are 1 credit hour and cannot be used in conjunction with a 2 or 3 credit course that has already been completed (for example, you cannot use both ACCT 60000 - Accounting for Managers and ACCT 69000 - Essentials of Accounting towards fulfilling program credit hour requirements).

Plan of Study

The online MSBA program at the Daniels School of Business helps students accelerate their careers with critical expertise to draw insights from the data on which organizations build successful strategies. You’ll apply management techniques, problem solving, programming skills, and the latest technologies to solve case studies, complete projects and learn to make informed decisions that translate across industries and organizations. With a wide variety of electives, you’ll acquire the skills you need to further your career and reach your aspirations.

Want to Learn More?

If you would like to receive more information about the online MS Business Analytics program at Purdue, please fill out the form and an enrollment specialist will be in touch.





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