BS in Computational Biology

4 Years On Campus Bachelors Program

Carnegie Mellon University

Program Overview

Carnegie Mellon University’s Bachelor of Science in Computational Biology (BSCB) is a leading interdisciplinary degree housed within the School of Computer Science (SCS). Designed for students with a passion for both computer science and the life sciences, this rigorous program integrates coursework in biology, computer science, mathematics, and statistics to equip students with the skills needed to analyze and model complex biological systems.

The program emphasizes a strong research foundation, encouraging all students to participate in hands-on undergraduate research—a unique guarantee by the department. With broad applicability in biotechnology, pharmaceuticals, biomedical research, and data science, the BSCB prepares students for both industry careers and advanced studies in graduate or medical school.

University Ranking Highlights:

  • Top 5 globally for Computer Science (U.S. News & World Report, 2024)

  • CMU is internationally recognized for contributions in computational biology, machine learning, and systems biology

  • Faculty include leading researchers in bioinformatics, genomics, and AI-driven biology

Course Overview

Mathematics & Statistics Core: Differential and Integral Calculus and Integration, Differential Equations, and Approximation, Mathematical Foundations for Computer Science, Probability Theory for Computer Scientists, Introduction to Statistical Inference, Mathematical Statistics (Honors), Probability and Statistical Inference I, Probability and Computing, Matrices and Linear Transformations, Matrix Theory

General Science Core: Introduction to Modern Chemistry I, Honors Chemistry: Fundamentals, Concepts and Applications, Physics I for Science Students, Physics I for Engineering Students

Biological Core: Honors Modern Biology, Modern Biology, Genomes, Evolution, and Disease: Introduction to Quantitative Genetic Analysis, Biochemistry I, Honors Biochemistry, Cell Biology

Computer Science Core: First-year Immigration Course, Principles of Imperative Computation, Great Ideas in Theoretical Computer Science, Algorithm Design and Analysis, Algorithms and Advanced Data Structures, Introduction to Machine Learning (SCS Majors), Introduction to Machine Learning

Computational Biology Core: Programming for Scientists, Fundamentals of Programming and Computer Science, Great Ideas in Computational Biology I and Great Ideas, in Computational Biology II, Quantitative Cell and Molecular Biology Laboratory, Computation and Biology Integrated Research Lab, Computational Biology Seminar, Computational Genomics, Computational Methods for Biological Modeling and Simulation

General Education: Interpretation and Argument, Advanced First Year Writing: Special Topics, Cognition, Choice, and Behavior Elective, Economics, Political, and Social Institutions Elective, Cultural Analysis Elective, Non-technical Electives (x3)

Sample Course Plan (Flexible):

  • Years 1 & 2: Core biology, math, CS, and foundational computational biology

  • Years 3 & 4: Advanced modeling, machine learning, research participation, electives

Experiential Learning (Research, Projects, Internships etc.)

  • Research guaranteed: Access to world-class CMU labs

  • Project-based coursework in modeling, genomics, and simulation

  • Interdisciplinary collaboration across SCS, biology, and engineering departments

  • Opportunities for internships in biotech, pharma, and health data analytics

  • Pathway to additional major or minor in Computational Biology for students in other CMU departments

Progression & Future Opportunities

  • Graduates accepted into top graduate and medical schools globally

  • High demand across industries: biotech, pharmaceuticals, AI in medicine, academia

  • Research and algorithmic training make graduates competitive for PhDs, MD/PhD programs, and technical roles in life sciences

  • Strong pathway to Carnegie Mellon’s MS or PhD programs in Computational Biology or Machine Learning

Program Key Stats

$67,020
$ 75
Aug Intake : 2nd Jan


11 %
No
Yes

Eligibility Criteria

AAA - A*A*A
3.5 - 4.0
38 - 42
90 - 95

1500 - 1570
34 - 35
7.5
102

Additional Information & Requirements

Career Options

  • Bioinformatics Scientist
  • Computational Biologist
  • Machine Learning Engineer (biomedical)
  • Genomics Analyst
  • Pharmaceutical Data Scientist
  • Software Developer in Health Tech
  • Pre-Med

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