Master of Information Systems Management Curriculum
The courses you take in the Master of Information Systems Management program build a foundation for understanding how modern digital infrastructure actually works. Equally important are the decision-making and business-oriented courses. Leadership instruction ensures you can persuade, present and lead teams effectively. Altogether, these skills prepare you to bridge the gap between technical systems and organizational goals.
Information Systems Management Curriculum
For detailed curriculum information, please visit the Master of Information Systems Management student handbook.
- Distributed Systems for Information Systems Management (95-702)
- Database Management (95-703)
- Organizational Design and Implementation (94-700)
- Python for Software Development (95-896)
- Economic Analysis (95-710)
- Decision Making Under Uncertainty (95-760)
- Tech Strategy and Governance (95-867)
- Statistics for IT Managers (95-796)
- Accounting and Finance Analytics (95-719)
- Strategic Communication for Information Systems Leaders (95-877)
- Design Core (94-866 or 95-706 or 95-874)
- Information Systems Management Professional Seminar (95-843)
- Capstone Project (94-739)
- Lean Innovation Lab (94-891) can be an option to meet Capstone Project requirement
- Corporate Start-Up Lab (45-996) can be an option to meet Capstone Project requirement
The Business Intelligence and Data Analytics pathways share many courses with the core Information Systems Management degree, with some key differences:
- Advanced Business Analytics (95-866) OR A/B Testing (95-819)
- Applied Econometrics (94-834)
- Machine Learning for Problem Solving (95-828)
- Unstructured Data Analytics (95-865)
- Distributed Systems for Information Systems Management (95-702)
- Database Management (95-703)
- Organizational Design and Implementation (94-700)
- Python for Software Development (95-896)
- Economic Analysis (95-710)
- Digital Transformation (95-722)
- Decision Making Under Uncertainty (95-760)
- Statistics for IT Managers (95-796)
- Strategic Communication for Information Systems Leaders (95-877)
- Accounting and Finance Analytics (95-719)
- Capstone Project (94-739)
- BIDA Professional Seminar (95-871)
For class, syllabi, and faculty information, please visit the Heinz College course catalog.
- Fundamentals of Operationalizing AI (94-879)
- Measuring Social (94-823)
- Data Science and Big Data (95-885)
- Time Series Forecasting in Python (95-835)
- Applications of NL(X) and LLM (94-812)
- Linux and Open Source (95-799)
- Decision Analysis and Multicriteria Decision Making (94-833)
*Elective availability may differ by pathway; students may also enroll in graduate-level courses from other Heinz College programs as well as other departments across Carnegie Mellon University’s campus, with approval.
For class, syllabi, and faculty information, please visit the Heinz College course catalog.
Students can elect one of the following optional concentrations:
- AI Management
- Health Informatics
- Marketing and Social Media Analytics
- Product Management
- Tech Policy and Governance
What can I do with Python?
Sample Information Systems Management Class Schedule
- At Carnegie Mellon University, courses are counted in units instead of credits.
- Three units are roughly equivalent to one credit at many of our peer institutions.
- A semester-long course is 12 units, while a half-semester class (called a mini) is six units.
The following schedules are intended to be examples of the structure of the semester. Courses may not always be offered in this fashion.
Customize Your Degree With a Concentration
Students can elect one of the following optional concentrations:
- AI Management
- Health Informatics
- Marketing and Social Media Analytics
- Product Management
- Tech Policy and Governance
Additional Degree Pathways
