Overview
The Information Technology - Business Intelligence and Data Analytics programme at Carnegie Mellon University is specifically designed to address the global demand for experts capable of transforming complex data into actionable business insights. This M.Sc. degree provides a rigorous framework for experienced professionals to master elite analytical techniques while maintaining their full-time employment. Students benefit from a curriculum that integrates advanced information technology with strategic communication and management principles.
Why Information Technology - Business Intelligence and Data Analytics at Carnegie Mellon University?
Carnegie Mellon University is recognised as a global leader in analytics education, holding the top ranking in this field. The programme is delivered through the prestigious Heinz College, known for its interdisciplinary approach to technology and policy. Students gain access to cutting-edge technologies and a curriculum that evolves alongside industry trends, ensuring graduates are prepared for the rapidly changing digital landscape. The flexible structure allows for immediate application of classroom learning to real-world professional challenges.
Tuition Fee Breakdown
- International fee: USD 600 per credit
- National fee: USD 600 per credit
- Local fee: USD 600 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is structured to provide a deep dive into both the technical foundations of data science and the strategic application of business intelligence. Modules may include:
- Unstructured Data Analytics
- Advanced Business Analytics
- Database Management
- Applied Exploratory Data Analysis
- Machine Learning with Tableau
- Statistics for IT Managers
- Data-Focused Python
- Data Warehousing
- Privacy in the Digital Age
Careers with Information Technology - Business Intelligence and Data Analytics
Graduates of this programme are equipped to lead data-driven initiatives across various sectors, including finance, technology, and public policy. The training focuses on preparing students for competitive roles that require the ability to aggregate, analyse, and monetise big data. By combining technical proficiency with business leadership skills, the programme enables professionals to advance into senior positions such as data scientists, business intelligence architects, and analytics managers. The university's strong reputation and industry links provide a robust platform for career progression in the global marketplace.
Programme Structure
Courses Include:
- Unstructured Data Analytics
- Advanced Business Analytics
- Database Management
- Applied Exploratory Data Analysis
- Machine Learning with Tableau
Key information
Duration
- Part-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Delivered
Campus Location
- Pittsburgh, United States
Disciplines
Information Technology (IT) Business Intelligence Data Analytics View 474 other Masters in Information Technology (IT) in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- You must submit a completed application form via our online application system to be considered for admission to Heinz College. Heinz College does not charge an application fee.
- You must provide documentation of your completed undergraduate degree (a bachelor's degree or its equivalent) from a regionally accredited institution prior to matriculation.
- If your native language (mother tongue) is not English, you are required to submit an official score report from the TOEFL, IELTS, or the Duolingo English Test.
- You are required to have two (2) recommendation forms submitted on your behalf.
- You are required to upload your résumé to the application system.
Tuition Fees
Living costs
Pittsburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Information Technology - Business Intelligence and Data Analytics.
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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