Computational Biology
The Master of Science in Computational Biology is a one year full time program designed for students seeking advanced skills in applying computational methods to biological research and data analysis. The curriculum integrates bioinformatics, computational modeling, genomics, and statistical analysis to provide a strong foundation for understanding complex biological systems and solving real world problems in biology. Through this program, students develop bioinformatics techniques, computational modeling, genomic analysis, and data interpretation skills, preparing them to analyze large biological datasets, develop predictive models, and support research in genetics, molecular biology, and systems biology.
This on campus program immerses students in a collaborative and hands on learning environment where lectures, laboratory sessions, coding workshops, and applied research projects provide practical experience in computational biology. Students refine algorithm development, data visualization, biological simulation, and research methodology skills through supervised practice and collaborative projects. Graduates are prepared to work in research institutions, biotech companies, pharmaceutical firms, and academic laboratories, equipping them to conduct advanced biological research, support data driven discoveries, and contribute to innovations in computational biology.
Key information
Key Facts
- Program Title: Computational Biology
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 February 2026
- Location: Columbia University, United States
- Field of Study: Biology
- Language of Instruction: English
Program Structure
Semester 1 – Foundations in Computational Biology
• Introduction to Computational Biology
• Bioinformatics and Genomic Analysis
• Statistical Methods for Biological Data
• Research Methods in Computational Biology
Semester 2 – Advanced Applications and Modeling
• Computational Modeling of Biological Systems
• High Throughput Data Analysis
• Seminar in Bioinformatics and Systems Biology
• Applied Research Project in Computational Biology
Career Opportunities
Graduates of this program are prepared for careers in computational biology, bioinformatics, genomics research, data analysis, and biotechnology. Career paths include computational biologist, bioinformatics analyst, genomic data scientist, research associate, and biotech consultant. Graduates are equipped to analyze large biological datasets, develop predictive models, conduct research in genetics and molecular biology, and support innovation in biotechnology. The program also prepares learners for applied, research, and advisory roles requiring expertise in computational biology, data analysis, and bioinformatics solutions.
Why Choose This Program
Students choose this program because it combines bioinformatics expertise, computational modeling skills, genomic analysis techniques, and applied research experience within a one year intensive framework. The curriculum emphasizes hands on coding, data analysis, and real world biological projects, allowing learners to develop technical, analytical, and research competencies necessary for tackling complex biological problems. Graduates gain the knowledge, confidence, and professional skills to pursue careers in computational biology, bioinformatics, genomics research, and biotechnology while contributing meaningfully to scientific discovery and innovation.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 212 854 1754
Email: admissions@columbia.edu
Address: University of Columbia, Admissions Office, New York, NY, United States
