Computer Science and Molecular Biology
The four-year Computer Science and Molecular Biology program provides a comprehensive foundation at the intersection of computational methods, molecular biology, and bioinformatics. Students explore programming, algorithmic analysis, genomics, and molecular systems while integrating theoretical knowledge with laboratory research and computational projects. The curriculum emphasizes interdisciplinary learning, critical thinking, and applied research, enabling students to address complex biological problems with computational solutions. Through seminars, research assignments, and collaborative projects, students gain a deep understanding of how computer science tools enhance molecular biology research, preparing them for advanced studies or professional careers.
Throughout the program, students engage in computational modeling, genetic analysis, and experimental biology projects addressing challenges in biotechnology, medicine, and bioinformatics. Emphasis is placed on problem-solving, analytical skills, and technical proficiency, preparing graduates for careers in bioinformatics, computational biology, pharmaceutical research, and biotechnology. By combining theoretical frameworks with practical experience, learners acquire the knowledge and experience necessary to pursue advanced academic research, industry roles, or integrated engineering positions in computational biology.
Key information
Key Facts
- Program Title: Computer Science and Molecular Biology
- Degree Type: Master of Engineering (Integrated Undergraduate Degree)
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 04 January 2026
- Location: Massachusetts Institute of Technology (MIT), United States
- Field of Study: Biology
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Computer Science and Molecular Biology
• Introduction to Molecular Biology
• Fundamentals of Computer Science
• Programming and Data Structures
• Academic Writing and Research Methods
Year 2 – Intermediate Computational and Biological Studies
• Algorithms and Computational Modeling
• Genetics and Cell Biology
• Biostatistics and Data Analysis
• Elective Modules in Biology
Year 3 – Advanced Topics & Applied Research
• Bioinformatics and Genomics
• Molecular Systems and Engineering
• Computational Analysis of Biological Data
• Research Projects and Seminars
Year 4 – Capstone & Thesis
• Independent Research / Thesis
• Seminar on Computational Molecular Biology
• Presentation and Portfolio Development
• Advanced Elective Modules
Career Opportunities
Graduates of this program are prepared for careers in computational biology, bioinformatics, biotechnology, pharmaceutical research, molecular genetics, and academic research. The program equips students with computational, analytical, and experimental skills, enabling them to work effectively in interdisciplinary research, healthcare, and biotech industries. Opportunities for laboratory research, applied projects, and computational studies provide practical experience and insight, enhancing employability and readiness for research-intensive or industry roles. Many graduates also pursue advanced degrees in bioinformatics, molecular biology, or computational biology to expand expertise and career opportunities.
Why Choose This Program
This program offers a comprehensive interdisciplinary approach, integrating computer science and molecular biology to equip students with skills necessary for modern biotechnology, bioinformatics, and research challenges. Students develop analytical, computational, and experimental skills through laboratory projects, simulations, and independent research. The curriculum emphasizes both theoretical knowledge and practical application, ensuring graduates leave with both knowledge and experience necessary to pursue professional, research, or advanced academic opportunities in computational biology, molecular biology, and biotechnology.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 617-253-1000
Email: admissions@mit.edu
Address: University of MIT, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
