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 are:
- Designed for graduate students in programs related to science, health, engineering, and mathematics
- Requires courses in programming, machine learning, and genomics (12.0-15.0 credits)
- Can be completed in three quarters
- Requires interdisciplinary study
Drexel graduate students in STEM- or Health-Science-related disciplines are eligible to enroll.
Program Requirements
| Depending on their background, students may find one of the following courses to be helpful in preparation for this graduate minor | 0.0 | |
| Biomedical Statistics | ||
| Introduction to Statistical Computing | ||
| Data Structures and Algorithms | ||
| Introduction to Artificial Intelligence | ||
| Fundamentals of Deterministic Digital Signal Processing | ||
| Fundamentals of Statistical Digital Signal Processing | ||
| Chemistry of the Environment | ||
| Applied Probability and Statistics I | ||
| Biophysics | ||
| Program Requirements * | ||
| Programming. Select One from the list below: | 3.0-4.0 | |
| Biocomputational Languages | ||
| Advanced Biocomputational Languages | ||
| Introduction to Programming | ||
| Systems Basics | ||
| Machine Learning. Select one from the list below: | 3.0 | |
| Machine Learning in Biomedical Applications | ||
| Machine Learning | ||
| Introductory Genomics. Select one course from the list below: | 3.0-4.0 | |
| Bioinformatics I | ||
| Genome Information Engineering | ||
| Genomic Signal Processing | ||
| Bioinformatics | ||
| Advanced Genomics. Select one course from the list below: | 3.0-4.0 | |
| Quantitative Systems Biology | ||
| Genomics | ||
| Structural Bioinformatics and Drug Design | ||
| Genomic and Sequencing Technologies | ||
| Statistical Analysis of Genomics | ||
| Computational Biophysics | ||
| Total Credits | 12.0-15.0 | |
- *
Students may take a maximum of one course in their home department
Additional Information
Natalia Broz
Associate Director for Graduate Programs
School of Biomedical Engineering, Science and Health Systems
Email: njb33@drexel.edu