Overview
The Computational Data Science programme at Carnegie Mellon University provides students with the technical expertise required to architect the next generation of large-scale information systems. This advanced curriculum bridges the gap between theoretical machine learning and practical systems engineering, ensuring graduates can effectively manage and analyse vast datasets. By combining rigorous academic study with hands-on applications, the university prepares professionals for leadership roles in the evolving data landscape.
Why Computational Data Science at Carnegie Mellon University?
Studying at this institution offers a unique advantage through its deep-rooted connections with the Language Technologies Institute. The programme is specifically designed to meet the demands of leading IT and social media companies, providing a unified vision of complex information environments. Students benefit from a collaborative ecosystem where industry partnerships are central to the learning experience, allowing for direct engagement with real-world research problems and cutting-edge technological deployments.
Tuition Fee Breakdown
- International fee: USD 60400 per year
- National fee: USD 60400 per year
- Local fee: USD 60400 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is structured to cover the full lifecycle of data systems, from initial design to final deployment. Modules may include:
- Databases
- Distributed Algorithms and Storage
- Machine Learning
- Language Technologies
- Software Engineering
- Human-Computer Interaction
- Design
Careers with Computational Data Science
Graduates from this programme are highly sought after by global technology leaders and innovative software services firms. The course is specifically tailored to prepare students for professional careers at major social media platforms and IT organisations. Alumni have successfully secured roles as AI researchers, deep learning architects, and data scientists at prestigious companies such as Nvidia. The inclusion of mandatory internships and capstone projects ensures that students possess the practical experience and industry networking opportunities necessary to excel in the competitive global job market.
Programme Structure
Courses include:
- Data Science Seminar
- Machine Learning
- Machine Learning with Big Data Sets
- Cloud Computing
- Information Systems Project
- Multimedia Databases and Data Mining
- Advanced Storage Systems
- Operating Systems or Web Applications
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Carnegie Mellon has adopted the method of assigning a number of “units” for each course to represent the quantity of work required of students.
Delivered
Campus Location
- Pittsburgh, United States
Disciplines
Data Science & Big Data View 470 other Masters in Data Science & Big Data 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
- GRE scores: These must be less than five years old. The GRE Subject Test is not required, but is recommended. Our Institution Code is 2074; Department Code is 0402.
- TOEFL scores: Required if English is not your native language. No exceptions. These scores may be more than two years old if you have pursued or are pursuing a bachelor's or graduate degree in the United States. (While the TOEFL is preferred, the IELTS test may also be submitted.) Successful applicants will have a minimum TOEFL score of 100. Our Institution Code is 4256; the Department Code is 78.
- Official transcripts from each university you have attended, regardless of whether you received your degree there.
- Current resume.
- Statement of Purpose.
Tuition Fees
-
International Applies to you
Applies to youNon-residents60400 USD / year≈ 60400 USD / year - Out-of-State60400 USD / year≈ 60400 USD / year
-
Domestic
Applies to youIn-State60400 USD / year≈ 60400 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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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Computational 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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