Education

woman in blazer and glasses smiling with arms crossed next to column that says "discovery" CBCB currently supports more than 40 graduate students, mostly at the Ph.D. level. Our diverse academic community allows our students to collaborate across disciplines—machine learning researchers working with data scientists and epidemiologists, or computational biologists working with entomologists, are but two examples. Graduate students come from one of three University of Maryland graduate programs. Click the buttons below to learn more about each program.

Biological Sciences Computer Science Applied Mathematics & Statistics, and Scientific Computation

Spring 2025 Courses

CBMG613: Microbiomes in Health, Disease, and Application

CMSC848G: Selected Topics in Information Processing; Selected Topics in Machine Learning

CMSC498Y: Selected Topics in Computer Science; Statistical Inference and Machine Learning Methods for Genomics Data

CMSC423: Bioinformatic Algorithms, Databases, and Tools

BIOI607: Data Structures and Algorithms for Bioinformatics

CMSC701: Computational Genomics

Fall 2025 Courses

BSCI411: Bioinformatics and Integrated Genomics

BSCI411H: Bioinformatics and Integrated Genomics

CMSC422: Introduction to Machine Learning

GEMS496: Project Writing Seminar

BISI620: Bioinformatics and Genomics

BIOI604: Principles of Molecular Biology, Genetics and Genomics

BISI620: Bioinformatics and Genomics

HLSC280: Integrative and Quantitative Concepts in Biology

CMSC423: Bioinformatic Algorithms, Databases, and Tools

CBCB Research Experiences for Undergraduates

Faculty in the CBCB regularly mentor undergraduate students in research projects. Since the creation of the Center in 2003, hundreds of undergraduate students have conducted research in the center. Many of them have pursued graduate studies and several are now faculty themselves.

Learn More