Overview
The M.Sc. in Computational Biology at Carnegie Mellon University is a joint postgraduate programme delivered by the Department of Biological Sciences and the Computational Biology Department. This curriculum is designed to equip students with the essential analytical tools and biological insights required to excel in modern genomics and personalised medicine. By combining world-class expertise from the Mellon College of Science and the School of Computer Science, the programme ensures a high standard of technical and scientific education.
Why Computational Biology at Carnegie Mellon University?
Students benefit from an interdisciplinary environment that merges biological sciences with cutting-edge computer science and machine learning. The programme maintains a low student-to-faculty ratio, ensuring that every participant receives personalised academic guidance and mentorship. Additionally, the university provides access to extensive research opportunities and professional development seminars focused on scientific integrity and career readiness.
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 into foundation, background, and breadth and depth courses to provide a comprehensive education. Modules may include:
- Computational Biology
- Machine Learning
- Statistics
- Genomics
- Biological Modelling
- Biomedical Engineering
- Ethics and Scientific Integrity
- Graduate Research Seminar
Careers with Computational Biology
Graduates from this programme are highly sought after in the biotechnology and pharmaceutical industries, as well as in government and academic research. Alumni have successfully secured roles at prestigious organisations, including the Broad Institute of MIT and Harvard, Thermo Fisher Scientific, Philips Research, and the J. Craig Venter Institute. Many graduates also choose to progress into top-tier Ph.D. programmes to continue their scientific investigations.
Programme Structure
Courses include
- Computational Biology
- Computer Science
- Statistics
- Machine Learning (Data Sciences)
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Pittsburgh, United States
Disciplines
Biology Computational Mathematics View 38 other Masters in Computational Mathematics 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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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- The admissions committee will not review an application without transcripts in English. If your school will not provide English transcripts, then a WES evaluation will be required; however, if the transcripts from your school are available in English, third-party (e.g. WES) evaluations are NOT necessary for application.
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 Biology.
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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