Biomedical Computation
The Bachelor of Science in Biomedical Computation at University of Stanford provides students with an interdisciplinary education at the intersection of biology, medicine, and computational sciences. In the first year, students build a strong foundation in biology, chemistry, mathematics, computer programming, and introductory biomedical engineering concepts. These courses develop analytical thinking, technical proficiency, problem-solving skills, and quantitative reasoning, enabling students to understand complex biological systems and computational modeling. Through lectures, laboratory exercises, and hands-on projects, learners gain practical experience in applying computational methods to biomedical challenges.
As students progress, the curriculum emphasizes bioinformatics, systems biology, biomedical data analysis, modeling of physiological systems, and medical imaging. Independent research, advanced computational projects, and seminars refine students’ research methodology, computational expertise, critical evaluation, and applied problem-solving skills. The honors curriculum encourages students to engage in innovative projects that bridge biology, computation, and engineering. By graduation, students are prepared for careers in biomedical research, biotechnology, healthcare analytics, computational biology, or further graduate study in bioengineering, computational biology, or related disciplines.
Key information
Key Facts
- Program Title: Biomedical Computation
- 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: Bio & Biomedical Engineering
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Biomedical Computation
• Introduction to Biomedical Computation
• General Biology and Chemistry
• Calculus and Linear Algebra
• Programming and Computational Methods
• Writing and Research in Science
Year 2 – Core Biomedical Computation Studies
• Molecular and Cellular Biology
• Bioinformatics and Data Analysis
• Systems Biology
• Biomedical Engineering Fundamentals
• Seminar: Research Methods in Biomedical Computation
Year 3 – Advanced Applications
• Medical Imaging and Signal Processing
• Computational Modeling of Biological Systems
• Genomics and Proteomics
• Independent Research Projects
• Electives in Bioengineering or Computational Biology
Year 4 – Capstone and Honors Project
• Senior Thesis or Independent Research Project
• Advanced Seminar in Biomedical Computation
• Applied Laboratory and Computational Projects
• Data-Driven Biomedical Research
• Specialized Electives in Biomedical Computation
Career Opportunities
Graduates of this program are prepared for careers in biomedical research, biotechnology, healthcare analytics, computational biology, and medical technology development. The curriculum develops technical proficiency, analytical reasoning, problem-solving skills, and research expertise, enabling students to pursue roles as biomedical data scientists, computational biologists, bioengineers, healthcare analysts, or researchers in academic and industry settings. Independent projects, laboratory work, and computational modeling provide practical experience, while the honors track strengthens preparation for graduate study or professional specialization. Graduates leave ready to innovate and contribute to advancements in biomedical computation and healthcare solutions.
Why Choose This Program
This program is ideal for students who wish to combine biology, medicine, and computational science to address complex biomedical challenges. Its structure emphasizes critical thinking, technical competence, research skills, and applied problem-solving, providing students with both theoretical understanding and hands-on experience. Through seminars, independent research, laboratory projects, and computational modeling, learners develop the expertise to analyze biological systems, design data-driven solutions, and tackle real-world biomedical problems. Graduates leave with the knowledge, confidence, and professional readiness to pursue careers in biomedical computation, biotechnology, healthcare analytics, or advanced academic study.
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
