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Graduate Minor in Bioinformatics

Tumor Cell Aggregates

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.


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