Overview
The M.Sc. in Computational Biology at Columbia University provides students with a rigorous foundation in the computational techniques required to navigate the rapidly evolving landscape of biomedical research. This programme bridges the gap between high-throughput biological data and the development of new understandings in genomic and medical sciences.
Students engage with sophisticated methodologies to analyse genome sequences, protein structures, and metabolic pathways. The curriculum is designed to address the genetic basis of disease and support innovations in drug design and clinical diagnosis. By integrating computer science with biological disciplines, the programme prepares graduates for the technical demands of modern biotechnology.
Why Computational Biology at Columbia University?
Columbia University offers a unique environment where students benefit from the intersection of the Department of Computer Science and world-class biomedical research facilities. The programme provides a state-of-the-art understanding of the growth in experimental techniques, such as DNA sequencing and RNA expression measurement via microarrays.
The curriculum is highly flexible, allowing students to tailor their studies through a variety of technical electives and interdisciplinary coursework. Participants have access to the Computing Research Facilities and can collaborate with faculty who are leaders in machine learning, genomics, and systems biology.
Tuition Fee Breakdown
- International fee: USD 64800 per year
- National fee: USD 64800 per year
- Local fee: USD 64800 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum requires the completion of 30 points of coursework at the 4000 level or above, including specific breadth and technical requirements. Modules may include:
- Computational Genomics
- Machine Learning for Functional Genomics
- Probability and Statistic
- Statistical Machine Learning
- Databases
- Computational Learning Theory
- Advanced Machine Learning
- Molecular Biology
- Bioinformatics of Gene Expression
Careers with Computational Biology
Graduates are prepared for diverse roles within the pharmaceutical and medical industries, focusing on areas from diagnosis to drug design. The programme equips students with the skills necessary to work in high-tech biomedical research environments, genomic laboratories, and biotechnology firms. Common career paths involve the application of computational models to solve complex biological problems and the management of large-scale biological datasets.
Programme Structure
Courses include:
- Computational Genomics
- Machine Learning for Functional Genomics
- Machine Learning or Statistical Machine Learning
- Probability and Statistic
- Computational Learning Theory
- Advanced Machine Learning
- Genetics
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
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Language
Credits
Delivered
Campus Location
- Manhattan, United States
Disciplines
Biology Web Technologies & Cloud Computing View 115 other Masters in Web Technologies & Cloud Computing in United StatesWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
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
- Transcript
- Personal Statement
- Recommendation Letter
- Financial Support Document
Tuition Fees
-
International Applies to you
Applies to youNon-residents64800 USD / year≈ 64800 USD / year - Out-of-State64800 USD / year≈ 64800 USD / year
-
Domestic
Applies to youIn-State64800 USD / year≈ 64800 USD / year
Living costs
Manhattan
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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