Graduate Minor in Bioinformatics

About the Graduate Minor

The Graduate Minor in Bioinformatics aims to train graduate students in core areas of bioinformatics through an interdisciplinary approach. Students are introduced to biocomputational programming languages and bioinformatics data analysis tasks. Students pursue further in-depth training in genomic data science topics including systems biology, molecular analyses and genomic technologies.

Key characteristics of the Bioinformatics Graduate Minor

Designed for graduate students in science, health, engineering and mathematical related programs.
Requires courses in programming, machine learning, and genomics (12-15 credits).
Can be completed in three quarters.
Requires interdisciplinary study.

Eligibility

Drexel graduate student in STEM or Health Science related disciplines are eligible to enroll.

Required Coursework

Students may take a maximum of one course in their home department.

The list of required courses and course-specific information is available in the course catalog.

Programming – Select One from the list below:		3.0 – 4.0 Credits
BMES 546	Biocomputational Languages
BMES 550	Advanced Biocomputational Languages
CS 570	Programming Foundations
CS 571	Advanced Programming Techniques
Machine Learning – Select One from the list below:		3.0 Credits
BMES 547	Machine Learning in Biomedical Applications
CS 613	Machine Learning
Introductory Genomics – Select One from the list below:		3.0 – 4.0 Credits
BIO 534	Bioinformatics I
BMES 544	Genome Information Engineering
ECES 640	Genomic Signal Processing
ECES 641	Bioinformatics
Introductory Genomics – Select One from the list below:		3.0 – 4.0 Credits
BMES 543	Quantitative Systems Biology
BIO 613	Genomics
BMES 548	Structural Bioinformatics and Drug Design
BMES 549	Genomic and Sequencing Technologies
ECES 650	Statistical Analysis of Genomics
PHYS 562	Computational Biophysics