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Information Systems Management Master's Degree: Business Intelligence and Data Analytics Track

How to Apply

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

Program Length

Sixteen months, three semesters

Sample Schedule

Program Delivery

Full-time, in person

Life in Pittsburgh

Application Deadlines

Round 1: December 1, 2026
Round 2: January 10, 2027
Round 3: February 1, 2027

Learn more about the application process

Cost of Attendance

Please visit CMU's Student Financial Services website.

CMU Student Financial Services

Internship

Required

Experiential Learning at Heinz College

STEM-Designated

Yes

Office of International Education

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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.

In Fall 2027, MISM-BIDA students will be able to engage more deeply with their area of interest by selecting one of two pathways to pursue in addition to their other core coursework:

Pathway 1:

Data Engineering & Cloud Computing
Technology Strategy & Governance

Pathway 2:

Database Management (95-703)
Distributed Systems for Information Systems Management (95-702)

Students will take both courses within their selected pathway and may not mix pathways.

Other core classes include:

Applied Econometrics (94-834)
Machine Learning for Problem Solving (95-828)
Unstructured Data Analytics (95-865)
A/B Testing (95-819)
Organizational Design and Implementation (94-700)
Python for Software Development (95-896)
Economic Analysis (95-710)
Decision Making Under Uncertainty (95-760)
Statistics for IT Managers (95-796)
Communicating with Data (95-877)
Accounting and Finance Analytics (95-719)
Capstone Project (94-739)
BIDA Professional Seminar (95-871)

Students will also choose from targeted electives to gain skills and experience in the following areas:

Artificial Intelligence
- Operationalizing AI (94-879)
- Practical Deep Learning: Models & Applications (95-876)
- Intro to AI (95-891)
AI Assessment
- Optimization and Decision Modeling for Analytics (90-755)
- Optimization and Risk Modeling for Managers (91-819)
Technology, Society, and Policy
- Responsible AI Governance (95-841)
- AI, Data, and Society (95-802)

For class, syllabi, and faculty information, please visit the Heinz College course catalog. Fall 2026 current students, please visit the Master of Information Systems Management student handbook.

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.

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Begin Your Path to Innovation

Request Information Connect With Us How to Apply

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.