M.S. in Quantitative Biology and Bioinformatics (MS-QBB) at Carnegie Mellon University
Train for a future in biological discovery with data-driven science
Biology is entering a transformative era powered by data. Emerging technologies — such as high-throughput sequencing, advanced imaging and computational modeling — are generating vast datasets across genomics, transcriptomics, proteomics and cellular behavior. These innovations are revolutionizing how scientists uncover the fundamental principles of life.
The Master of Science in Quantitative Biology and Bioinformatics (MS-QBB) at Carnegie Mellon University prepares students to lead in this data-driven revolution. Offered by the Department of Biological Sciences in the Mellon College of Science, the program combines rigorous life sciences training with practical computational skills.
Why Choose the MS-QBB program at CMU?
The Master of Science in Quantitative Biology and Bioinformatics (MS-QBB) program at Carnegie Mellon University prepares students to become leaders in the rapidly evolving fields of computational biology, bioinformatics, and biomedical data science. Designed for students with strong backgrounds in life sciences, the program offers a flexible and immersive learning experience that leads to real-world career outcomes.
- Flexible Study Options: Choose between a 2-semester fast-track or a 3-semester advanced study path.
- Cutting-Edge Curriculum: Learn to analyze biological data using modern computational tools and techniques.
- Industry-Driving Training: Collaborations with leading biotech and pharmaceutical companies help shape the curriculum and provide internship and career opportunities.
- Career-Ready Skills: Gain hands-on experience in:
- Bioinformatics
- Data science
- Computational biology and biological modeling
- Genomic data analysis
- Quantitative approaches to biomedical research
- Hands-On Learning: Students engage in project-based coursework and have the option to participate in internships, gaining practical experience in analyzing biological datasets and solving real-world problems.
- Tailored for Life Science Graduates: Ideal for students with backgrounds in biology, chemistry, or related fields, the program helps build computational expertise essential for careers in research, healthcare and biotechnology. By the end of the program students will be able to:
- Apply mathematical and computational skills to solve problems in quantitative biology.
- Demonstrate proficiency in genomic data analysis and interpretation.
- Work with biological datasets to answer complex scientific questions.
- Discuss current and emerging medical treatments and their implications in the context of quantitative biology.
- Career Outcomes & Networking: Bioinformatics is a rapidly growing field in both academia and industry where researchers analyze data in genomics and other large-data fields in biology and health. Students in the M.S. QBB program benefit from:
- Internship opportunities with top companies
- Career guidance from CMU’s Career & Professional Development Center
- Networking events with industry professionals
- Mentorship from the M.S. QBB steering committee
Program Options
2-Semester Track
- Start: Late August
- Graduate: Late May
- Ideal for students seeking a fast, focused path into bioinformatics careers.
3-Semester Track (Advanced Study)
- Start: Late August
- Graduate: Late December
- Includes optional summer internships and advanced coursework for deeper specialization.
Explore Related Programs
Interested in more computational depth? Consider:
These programs expect a higher level of quantitative background and skills to enter and are designed to engage students with a more-indepth focus computational machine learning competencies and the application of machine learning to biological research.
Application Fee:
$25 for all applicants.
Application Deadlines:
- Priority Deadline: December 15. Application review begins in mid-December and applications are reviewed on a rolling basis after that.
- Final Deadline: March 1.
How to apply to the M.S. in Quantitative Biology and Bioinformatics Program
Step 1: Start Your Application
Begin your journey toward a career in bioinformatics and data-driven biological research.
- Create an account through the MCS Graduate Application Portal.
- Select “MCS Graduate Application,” then choose “M.S. in Quantitative Biology & Bioinformatics.”
- You may also apply separately to:
- M.S. in Biotechnology & Pharmaceutical Engineering
- M.S. in Computational Biology
Step 2: Submit Transcripts
- All Applicants: Upload unofficial transcripts during the application process. Official transcripts will be required only if admitted.
- International Applicants: A WES (World Education Services) evaluation is required for all international transcripts.
Step 3: GRE Scores (Optional)
- GRE scores are not required, but will be reviewed if submitted.
- Photocopies are accepted for initial review; official scores must be submitted if admitted.
Institution Code: CMU 2074
Department Code: Biology 0203
Step 4: English Language Proficiency (For Non-Native Speakers)
Applicants who are non-native English speakers must submit one of the following:
- TOEFL
- IELTS
- Duolingo English Test
Score Submission Codes:
- Duolingo: Select “Carnegie Mellon University – Mellon College of Science”
- TOEFL: Institution Code CMU 2074, Department Code 35
- IELTS: Select “Carnegie Mellon University, Mellon College of Science”
Step 5: Letters of Recommendation
Submit three letters of recommendation from individuals who can assess your academic and research potential.
- At least one letter should be from your most recently attended college or university.
Step 6: Statement of Purpose
Craft a compelling 1–2 page essay that outlines:
- Your motivation for pursuing a degree in Quantitative Biology and Bioinformatics
- Any research experience and your role in those projects
- Your primary areas of interest within the field
- Why you are choosing Carnegie Mellon University’s Department of Biological Sciences
Step 7: Finalize Your Application
- Ensure all materials are submitted before the deadline.
- After submission, monitor your application status page for updates.
Questions? Contact us at bioinformatics-slate@andrew.cmu.edu
Step 8: Admissions Decisions
- Application review begins mid-December.
- Decisions are typically released within two months of the review start date.
CMU Rales Fellows
The Carnegie Mellon University Rales Fellows Program is dedicated to cultivating the next generation of STEM leaders and driving innovation by increasing access to a life-changing graduate education. By removing financial barriers to obtaining advanced degrees and providing Fellows with holistic support, the Rales Fellows Program empowers and connects scholars with others who share a passion for progress and innovation.