Information Systems Management Master's Degree: Business Intelligence and Data Analytics Track
An Elite Degree for an Elite Career
This track is right for you if:
- You enjoy uncovering patterns, trends, and opportunities hidden in data
- You want to combine analytical skills with business strategy
- You want to build a career in analytics, consulting, product management, or data-driven leadership
Key Program Information
Application Deadlines
Round 1: December 1, 2026
Round 2: January 10, 2027
Round 3: February 1, 2027
Cost of Attendance
Please visit CMU's Student Financial Services website.
Explore the Program
My Story: Sam
Sam chose the Business Intelligence and Data Analytics degree because of its blend of technical courses and management skills.
Business Intelligence and Data Analytics Curriculum
For detailed curriculum information, please visit the Master of Information Systems Management student handbook.
- 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)
- Business Intelligence and Data Analytics Professional Seminar (95-871)
- Capstone Project (94-739)
PLUS
- Required Summer Internship
For class, syllabi, and faculty information, please visit the Heinz College course catalog.
- Measuring Social (94-823)
- Data Science & Big Data (95-885)
- Time Series Forecasting in Python (95-835)
- Linux and Open Source (95-799)
- Applications of NL(X) and LLM (94-812)
- Making Products Count: Data Science for Product Managers (95-851)
- Telling Stories With Data (94-870)
- Decision Analysis and Multicriteria Decision Making (94-833)
*Elective availability may differ by pathway/location; 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.
Begin Your Path to Innovation
Sample Information Systems Management: Business Intelligence and Data Analytics 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.
Sample Schedule: Fall
| Fall, Mini 1 | Fall, Mini 2 |
| Database Management | Database Management |
| Programming Requirement | Programming Requirement |
| Organizational Design and Implementation | Applied Econometrics I |
| Statistics for IT Managers | Data-Focused Python |
| Writing for Information Systems Management | |
| Total units: 30 | Total units: 24 |
Sample Schedule: Spring
| Spring, Mini 3 | Spring, Mini 4 |
| Machine Learning for Problem Solving | Machine Learning for Problem Solving |
| Professional Speaking | Accounting and Finance |
| Unstructured Data Analytics | Advanced Business Analytics |
| Economic Analysis | Negotiation |
| Geographic Information Systems | |
| Total units: 30 | Total units: 24 |
