Business Intelligence & Data Analytics Master's Degree

Key Program and Track Information

Program Length: 16 months, 3 semesters + internship
Application Deadline: December 1, 2025 (Round 1), January 10, 2026 (Round 2)
Degree earned: Master's Degree
Internship: Required
STEM-Designated: Yes

Within the Information Systems Management program, the Business Intelligence & Data Analytics degree pathway goes deeper into the field of analytics, forging experts who change the way companies do business around the world.

The comprehensive curriculum includes advanced analytics coursework in machine learning, structured and unstructured data analytics and predictive modeling. When combined with core technology coursework and experiential learning, our Business Intelligence and Data Analytics degree will arm you with the expertise to become a leader at any organization.

Duration: 16 months / 3 semesters (Fall, Spring, Summer Internship, Fall)

Admissions Requirements

Connect With Heinz

Talk to a current student, schedule a visit, or meet our Admissions team on the road.

Connect

Unparalleled Outcomes

See how our alumni are putting their MISM degrees to work.

My Story: Sam

Sam chose the Business Intelligence and Data Analytics degree because of its blend of technical courses and management skills.

Business Intelligence & Data Analytics Curriculum

Business Intelligence & Data Analytics Core
- Machine Learning for Problem Solving (95-828)
- Advanced Business Analytics (95-866)
- Applied Econometrics I (94-834)
- Unstructured Data Analytics (95-865)
- Distributed Systems for ISM (95-702)
- Database Management (95-703)
- Programming Requirement
- Digital Transformation (95-722)
- Organizational Design and Implementation (94-700)
- Economic Analysis (95-710)
- Accounting and Finance Analytics (95-719)
- Decision Making Under Uncertainty (95-760)
- Statistics for IT Managers (95-796)
- Writing for ISM (95-717)
- Professional Speaking (95-718)
- Data Analytics Capstone Project
PLUS
- Required Summer Internship
For class, syllabi, and faculty information, please visit the Heinz College course catalog.
Business Intelligence & Data Analytics Sample Electives*
- Measuring Social (94-823)
- Applied Exploratory Data Analysis (90-800)
- A/B Testing, Design, and Analysis (95-819)
- Big Data and Large Scale Computing (95-869)
- Data-Focused Python (95-888)
- Managing Disruptive Technologies (95-723)
- Data Science & Big Data (95-885)
*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.

A graphic illustrating possible courses for MISM students.

Sample Schedule: Fall First Semester

Heinz College uses a blend of full-semester (14 weeks) and half-semester (7 weeks) courses to create a comprehensive and exciting curriculum.

Sample Schedule: Spring

Our Business Intelligence and Data Analytics curriculum includes advanced analytics coursework in machine learning, structured and unstructured data analytics, and predictive modeling

Sample Schedule: Fall Second Semester

Gain real-world experience by completing a team-based Capstone project and solve a problem for an actual client.

#1 in Analytics Education