Biology - Computational Biology
The Biology – Computational Biology Bachelor of Science program at the University of Stanford combines the rigor of biological sciences with advanced computational and quantitative methods to address complex biological questions. Over four years of full-time, on-campus study, students gain a strong foundation in molecular biology, genetics, and systems biology while developing skills in data analysis, programming, and computational modeling. The curriculum emphasizes bioinformatics proficiency, data-driven research, analytical thinking, and problem-solving, allowing students to explore how computational tools can illuminate biological processes and generate predictive models for real-world applications. Through hands-on laboratory experiences, programming projects, and integrative coursework, learners are prepared to tackle the growing challenges of modern biology with precision and creativity.
This program also encourages interdisciplinary exploration, bridging biology with mathematics, computer science, and statistical analysis to provide a holistic approach to understanding biological data. Students engage in faculty-led research, participate in computational labs, and take elective courses that cover areas such as genomics, systems biology, machine learning, and network analysis. By combining theoretical knowledge with applied computational techniques, learners gain the skills necessary to conduct high-throughput data analysis, contribute to genomic research, support biological modeling projects, and explore innovative solutions in biotechnology and healthcare. Graduates emerge with a robust combination of biological insight and computational expertise, fully prepared for advanced study or careers at the intersection of biology and technology.
Key information
Key Facts
- Program Title: Biology - Computational Biology
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: Stanford University, United States
- Field of Study: Biology
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Biology and Computational Methods
• General Biology I & II
• Principles of Chemistry
• Introduction to Computational Biology
• Scientific Communication and Data Literacy
Year 2 – Core Biological Systems & Quantitative Analysis
• Genetics and Molecular Biology
• Cell Biology
• Data Structures and Algorithms for Biology
• Statistical Analysis in Life Sciences
Year 3 – Advanced Computational Techniques & Biological Research
• Systems Biology
• Genomics and Bioinformatics
• Research Design and Data Modeling
• Elective Modules in Machine Learning, Network Biology, or Proteomics
Year 4 – Independent Research & Capstone Project
• Computational Biology Research Project
• Advanced Topics in Biological Data Analysis
• Senior Seminar
• Capstone Thesis and Portfolio Presentation
Career Opportunities
Graduates of this program are prepared to work in biotechnology companies, pharmaceutical research organizations, academic laboratories, and genomics and bioinformatics centers, where computational and biological expertise is highly valued. Students can pursue roles such as bioinformatics analyst, computational biologist, systems biology researcher, genomic data specialist, laboratory research assistant, or software developer for biological applications. The strong foundation in both biology and computation also enables graduates to continue into competitive graduate programs, medical schools, or interdisciplinary research in computational genomics, systems biology, and data-driven healthcare. With a unique blend of analytical and scientific skills, alumni are equipped to contribute to innovative research and data-informed decision-making across life science industries.
Why Choose This Program
This program is ideal for students who wish to integrate computational expertise, biological understanding, data-driven research, and interdisciplinary innovation into their education. Its structured approach allows learners to progress from foundational biological concepts to advanced computational applications while engaging in hands-on research projects and collaborative work. With access to experienced faculty, modern laboratories, and computational resources, students benefit from an environment that encourages exploration, problem-solving, and analytical thinking. The program’s focus on combining biology with technology ensures graduates are well-prepared to excel in the rapidly growing field of computational life sciences, contributing to both scientific discovery and practical solutions in healthcare, biotechnology, and research.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 650 000 0000
Email: admissions@standord.edu
Address: University of Standord, 450 Serra Mall, Stanford, CA 94305, United States
