Overview
The Master of Science in Information Technology - Business Intelligence and Data Analytics Track at Carnegie Mellon University provides an elite education designed for high-impact careers in the analytics sector. This comprehensive pathway integrates deep technical training with essential management skills to transform how global organisations utilise data. Students engage in a rigorous academic environment that bridges the gap between complex data science and strategic business implementation.
Why Master of Science in Information Technology - Business Intelligence and Data Analytics Track at Carnegie Mellon University?
This programme is recognised for its excellence, holding a top ranking in analytics education. Students benefit from a curriculum that blends full-semester and half-semester courses, ensuring a fast-paced and diverse learning experience. The track is STEM-designated and includes a mandatory summer internship, allowing students to apply their technical expertise in professional settings before graduation.
Tuition Fee Breakdown
- International fee: USD 29570 per semester
- National fee: USD 29570 per semester
- Local fee: USD 29570 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum focuses on advanced analytics, predictive modelling, and distributed systems. Modules may include:
- Machine Learning for Problem Solving
- Business Analytics
- Applied Econometrics
- Unstructured Data Analytics
- Distributed Systems for ISM
- Database Management
- Digital Transformation
- Organizational Design and Implementation
- Accounting and Finance Analytics
Careers with Master of Science in Information Technology - Business Intelligence and Data Analytics Track
Graduates are prepared for elite careers as leaders in the technology and data sectors. The programme focuses on developing experts who can handle large-scale computing and disruptive technologies. By completing a team-based Capstone project for actual clients, students gain the practical experience necessary to secure roles in machine learning, data science, and strategic information systems management across various industries.
Programme Structure
Courses include:
- Machine Learning for Problem Solving
- Advanced Business Analytics
- Applied Econometrics
- Unstructured Data Analytics
- Distributed Systems for ISM
- Database Management
- Object-Oriented Programming in Java
- Digital Transformation
Key information
Duration
- Part-time
- 16 months
- Flexible
Start dates & application deadlines
- Starting
- Apply before
-
Language
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- 4.9/5 student rating
Credits
Delivered
- Semi-structured
- Proactive tutoring and support
- Individual work/assignments (with online group discussions), Online group works/assignments
Campus Location
- Pittsburgh, United States
Disciplines
Business Intelligence Data Analytics View 216 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Transcripts
- Standardized Test Scores (GRE or GMAT)
- English Language Proficiency Exam Results (TOEFL or IELTS)
- Recommendations
- Professional Résumé
- Required Essay
- Optional Essay
- Video Interview (optional, but strongly recommended)
- Verification Requirement for Enrolling Students (applicable only upon admission)
Tuition Fees
-
International Applies to you
Applies to youNon-residents59140 USD / year≈ 59140 USD / year - Out-of-State59140 USD / year≈ 59140 USD / year
-
Domestic
Applies to youIn-State59140 USD / year≈ 59140 USD / year
Funding
Please visit our finances and scholarships website for more information about financial aid and tuition benefits: https://www.heinz.cmu.edu/programs/information-technology-master/financial-aid-and-scholarships-msit
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Scholarships Information
Below you will find Master's scholarship opportunities for Master of Science in Information Technology - Business Intelligence and Data Analytics Track.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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