Overview
The Statistics and Data Science M.Sc. at Carnegie Mellon University is a rigorous professional degree designed to bridge the gap between theoretical knowledge and practical application. This intensive two-semester programme prepares students for high-level roles in data engineering and analytics through a curriculum that emphasises real-world problem-solving. Students benefit from a learning environment that prioritises communication skills alongside technical mastery.
Why Statistics and Data Science at Carnegie Mellon University?
The department is renowned for its focus on interdisciplinary research and the use of non-textbook datasets, ensuring students work with authentic, complex information. A defining feature of the programme is the emphasis on professional development, preparing graduates to translate technical findings into actionable insights for diverse stakeholders. The university provides a collaborative atmosphere where students from various academic backgrounds, including engineering and social sciences, work together on innovative statistical methodologies.
Tuition Fee Breakdown
- International fee: USD 53000 per year
- National fee: USD 53000 per year
- Local fee: USD 53000 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is designed to provide a comprehensive foundation in modern statistical methods and practical consulting. Modules may include:
- Statistical Practice
- Data Analysis
- Statistical Methodology
- Professional Skills for Statisticians
- Capstone Project
- Applied Data Science
Careers with Statistics and Data Science
Graduates are highly sought after for their ability to handle sophisticated data structures and provide expert analysis. The programme has a strong track record of placing alumni in influential positions across a variety of sectors.
Programme Structure
Courses include
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Key information
Duration
- Full-time
- 9 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Pittsburgh, United States
Disciplines
Statistics Data Science & Big Data View 471 other Masters in Data Science & Big Data 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
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
-
International Applies to you
Applies to youNon-residents53000 USD / year≈ 53000 USD / year - Out-of-State53000 USD / year≈ 53000 USD / year
-
Domestic
Applies to youIn-State53000 USD / year≈ 53000 USD / year
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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- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Statistics and Data Science.
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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