Overview
The Applied Data Science M.Sc. at Carnegie Mellon University is a rigorous professional programme designed to equip students with advanced technical expertise and essential workplace skills. This two-semester course focuses on the practical application of statistical theory and computing to solve complex, real-world data challenges across various high-growth industries.
Why Applied Data Science at Carnegie Mellon University?
Choosing this programme means joining a world-class department known for its leadership in statistical pedagogy and research. A defining feature of the experience is the intentionally small cohort size, typically ranging from 25 to 35 students, which ensures a personalised and engaging learning environment. Students benefit from direct mentorship by expert faculty and dedicated programme leaders who provide tailored guidance on navigating the job market. The university’s strong reputation in fields like sports analytics—highlighted by student success in the NFL Big Data Bowl—and its deep connections to diverse sectors provide a distinct competitive advantage for graduates.
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 structured to build foundational skills in data analysis and professional practice. Students move through the programme as a collaborative cohort, taking most classes together to foster strong professional networks. Modules may include:
- Professional Skills for Statisticians
- Data Analysis
- Statistical Computing
- Statistical Theory
- Client-Oriented Data Analysis
Careers with Applied Data Science
The programme is specifically tailored for those seeking immediate employment in fast-paced, data-driven sectors within the United States. Graduates are prepared to handle the full lifecycle of data projects, from initial collection design to communicating complex results to non-specialist stakeholders. The department provides extensive support for technical interview preparation and salary negotiation.
Programme Structure
Courses Include:
- Professional Skills for Statisticians I|
- Data Visualization
- Data Engineering
- Applied Linear Models
- Statistical Computing
Key information
Duration
- Full-time
- 9 months
Start dates & application deadlines
- Starting
- Apply before
-
Applications will be accepted on a rolling basis thereafter pending space availability.
Language
Delivered
Campus Location
- Pittsburgh, United States
Disciplines
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
Other requirements
General requirements
- Application fee
- Undergraduate and graduate transcripts of all institutions where you have attended and/or graduated
- A statement of purpose
- A resume
- Three recommendation letters uploaded by recommenders (two of which should be faculty recommendations)
- GRE test scores. Our GRE codes are 2074 (Institution) and 0705 (Department).
- If applicable, TOEFL, IELTS test, or Duolingo scores. Our TOEFL codes are 2074 (Institution) and 59 (Department)
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
Interested in financing your studies? Find a student loan that works for you.
Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
- Flexible loans from US$2,001 to US$100,000
- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Applied Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility