The Minor in Biomedical Data Science
The minor in Biomedical Data Science is designed to integrate data science principles — preparing, transforming, modeling, visualizing, validating, and communicating data — with the unique challenges and considerations of medicine and health care. The curriculum encompasses the following: (1) fundamental mathematics concepts such as linear algebra, probability, statistics, and computer modeling; (2) the specialized data science education necessary to practically approach the particular challenges of genomic data, sensor data, and health care data; and (3) the ethical considerations of privacy, equity, and access unique to medical data sharing and analysis.
A minor in Biomedical Data Science requires the completion of 18 units selected from the following courses. McKelvey Engineering students of all disciplines as well as students majoring in biology, physics, neuroscience, or other sciences are ideal candidates for this minor. All courses must be taken with a credit option to qualify for the minor.
Curriculum
Core Biomedical Engineering Courses (required; all must be completed):
| Code | Title | Units |
|---|---|---|
| BME 231 | Foundations of Biomedical Computing (Spring/Summer; No prerequisite; First offering SP22) | 3 |
| BME 4015 | Biomedical Data Science Capstone Design | 3 |
| BME 440 | Biomedical Data Science (Fall; Prerequisite: BME 231; First offering FL22) | 3 |
Mathematics Course (students must complete one from the following list):
| Code | Title | Units |
|---|---|---|
| ESE 318 | Engineering Mathematics A (Fall/Spring; Prerequisites: Math 233 and Math 217 or equivalent) | 3 |
| Math 309 | Matrix Algebra (Fall/Spring; Prerequisite: Math 131) | 3 |
| MEMS 201 | Numerical Methods and Matrix Algebra (Spring; Prerequisite: Math 217) | 3 |
Probability and Statistics Course (students must complete one from the following list):
| Code | Title | Units |
|---|---|---|
| ESE 326 | Probability and Statistics for Engineering (Fall/Spring; Prerequisite: Math 233 or equivalent) | 3 |
| Engr 328 | Engineering Statistics with Probability | 3 |
| Math 2200 | Elementary Probability and Statistics (Fall/Spring; Prerequisite: Math 131) | 3 |
| Math 3200 | Elementary to Intermediate Statistics and Data Analysis (Fall/Spring; Prerequisite: Math 132) | 3 |
Biomedical Engineering Upper Level Elective (students must complete one from the following list):
| Code | Title | Units |
|---|---|---|
| BME 470 | Mathematics of Imaging Science (Fall; Prerequisite: Consent of instructor) | 3 |
| BME 472 | Biological Neural Computation (Spring; Prerequisite: Consent of instructor) | 3 |
| BME 519 | Advanced Cognitive, Computational, and Systems Neuroscience (Spring; Prerequisite: Consent of instructor) | 3 |
| BME 533 | Biomedical Signal Processing (Spring; Prerequisite: Consent of instructor) | 3 |
Additional courses may be added to these lists as new courses are developed. Questions about the Biomedical Data Science minor can be addressed to Professor Patricia Widder.