Genomics and Computational Biology, PhD

Genomics and computational biology are now at the center of biomedical research. These disciplines take a holistic approach to ask about the origins, functions, and interactions of whole systems, using both experimental and theoretical work. Therefore, these studies require knowledge, skills, and, most importantly, synthesis and integration of biology, computer science, mathematics, statistics, and engineering.

This synthesis and integration requires a new generation of scientists that thrives in cross-disciplinary research. This can include molecular, cellular, and organismal biology (including genetics), mathematics, statistics, chemistry, and engineering. The goal of the GCB program is to train students that are experts in one or more of these disciplines and well versed in the others. We provide a comprehensive training program in Genomics and Computational Biology that gives students a broad foundation in the biological and quantitative sciences along with practical experience in computational and experimental genomics. The knowledge gained in this program will serve students in their careers as technology progresses.

Required Courses 

Coursework
GCB 5330Statistics for Genomics and Biomedical Informatics1
GCB 5340Experimental Genome Science1
Biology Course1
Regulation of the Genome
Genetic Principles
Molecular Basis of Disease
Genetic Analysis
Molecular Biology and Genetics
Human Physiology
GCB 5360Fundamentals of Computational Biology1
CIS 5200Machine Learning1
Approach Elective: Attribute MPAE1
Biological Specialty Elective: Attribute MPBS1
Select three additional electives between 5000-99993
Research
4-9 CUs of GCB 6990 or GCB 89904-9
GCB 6990Lab Rotation
GCB 8990Pre-Dissertation Research
GCB 9950Dissertation
Total Course Units14-19

University PhD Benchmarks

In addition to Program requirements, the following milestones must be completed:

Qualifying Evaluation
Candidacy Examination
Dissertation Defense/Oral Exam
Dissertation Deposit


For more information view the University’s Academic Rules for PhD Programs.


The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2025 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.


Sample Plan of Study

Year 1
Fall
Statistics for Genomics and Biomedical Informatics
Experimental Genome Science
Fundamentals of Computational Biology
Lab Rotation
Spring
Biology course (BIOM 5550 or CAMB 5500)
Approach Elective
Elective
Lab Rotation
Lab Rotation
Summer
Pre-Dissertation Research
Year 2
Fall
Pre-Dissertation Research
Machine Learning
Biological Elective
Elective
Spring
Pre-Dissertation Research
Elective
Elective
Year 3 and Beyond
Dissertation