Program Overview

Computational Biology Program

The Computational Biology Degree (Biology Track) is designed for students with an interest in Applied Biological Computation, emphasizing the solution of biological problems. Biological research in the 21st century requires scientists trained in the analysis and interpretation of large, complex sets of high-throughput data.

Program Description

The program focuses on applying existing tools to analyze large biological datasets, distinguishing it from Computational Science majors, which are rigorously math and theory-oriented, emphasizing the development of new computational approaches.

Research Areas

• Transcription and gene expression in plants
• Nucleosome Organization in Development and Disease
• Genomic studies of complex behavior
• High-Resolution Cryogenic Electron Microscopy

Curriculum

Students in this program complete a core curriculum of:

• Math
• Computer Science
• Scientific Computing
• Chemistry
• Statistics
• Biology courses In the Biology track, students choose a sub-discipline and seek out a mentor who serves as their internship mentor, advising them on elective courses and career options.

Comparison to Computational Science Majors

A degree in Computational Biology differs from a Degree in Computational Science in its emphasis on applications of existing tools to analyze large biological datasets, rather than the development of new computational approaches.

Comparison to Computational Biology (Computer Science Track)

The Biology track emphasizes immersion in a biological problem, with fewer didactic requirements but a required Research Practicum that provides opportunities to co-author publications. In contrast, the Computer Science track focuses on familiarity with computer science applicable in many computational settings, without requiring a research experience.

Disciplines Included

The program encompasses various biological and biomedical disciplines, including:

• Genomics
• Systems biology
• Imaging
• Proteomics
• Metabolomics
• Ecology
• Phylogeny

This program is designed to prepare students for careers in biological and biomedical disciplines, where the analysis of large datasets and liaison with big data centers are increasingly necessary.