Sample Courses in the Quantitative/Analytical Competency Area
Courses provide additional graduate level training in Advanced Math, Numerical Methods, Quantitative Analyses, and/or Data Science – should ideally include at least one course in statistics.
- Not Approved: Courses that can't be utilized to meet competency requirements
- BME Sample Courses
- Life Science Sample Courses
- Other Related Graduate Training Sample Courses (PhD only)
- Regulatory Affairs and Professional Skills Sample Courses (Professional MS only)
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Other or Graduate Electives for Specialization (Thesis MS and Professional MS only)
- There are no sample courses for these requirements as they can be any grad level course that makes sense for your professional goals
Purdue West Lafayette Courses
| Example of Acceptable Courses | Course Name |
|---|---|
| AAE 55400 | Fatigue Struct & Matls |
| BME 53200 | Bioelectronics |
| BME 59500 (BME 53200) | Bioelectronics |
| BME 59500 (BME 50100) | Biostatistics |
| BME 59500 (BME 51100) | Biomedical Signal Processing |
| BME 59500 | Continuum Models Biomed Engr |
| BME 63200 | Bioelectronics |
| BME 69500 (BME 63200) | Bioelectronics |
| BME 69500 | Model Based Image Processing |
| BME 69500 | Numerical Methods In BME |
| BME 69500 | Multiscale Modeling |
| BME 69500 | Quantitative Systems Biology |
| CHE 63000 | Applied Math Chem Engr |
| CS 51400 | Numerical Analysis |
| CS 57800 | Statistical Machine Learning |
| CS 59000 | Computing for Life Sciences |
| ECE 57000 | Artificial Intelligence |
| ECE 60000 | Random Variables |
| ECE 60200 | Lumped System Theory |
| ECE 60400 | Electromagnetic Field Theory |
| ECE 63700 | Digital Image Proc I |
| ECE 64100 | Digital Image Proc II |
| ECE 64500 | Estimation Theory |
| ECE 69500 | Sprse Modeling Algs Stat Learn |
| IE 53300 | Ind Application Stat |
| IE 58000 | Systems Simulation |
| MA 51000 | Vector Calculus |
| MA 51100 | Linear Algebra Appl |
| MA 51400 | Numerical Analysis |
| MA 52500 | Intro Complex Anly |
| MA 52700 | Adv Math Engr Phys I |
| MA 52800 | Adv Math Engr Phys II |
| MA 59800 | Intro to Math in Biology |
| ME 58000 | Nonlinear Engr Systems |
| ME 58700 | Engineering Optics |
| ME 61200 | Continuum Mechanics |
| ME 69700 | Micro/Nanofluidics |
| MSE 59700 | Mechanical Properties and Behaviors of Polymers |
| PHYS 60000 | Methods Theoret Phys I |
| PHYS 60100 | Methods Theoret II |
| STAT 51400 | Design Of Experiment |
| STAT 51700 | Statistical Inference |
| STAT 51900/MA 51900 | Intro To Probability |
| STAT 52400 | Appl Multiv Analysis |
| STAT 52800 | Intro Math Stat |
| STAT 52900 | Bayesian Appl Dec Thy |
| STAT 53200 | Elem Stochastic Proc |
| STAT 55300 | Linear Models |
| STAT 69500 | D&R Big Data High Comp Cmplxty |
Purdue Indianapolis Courses
| Example of Acceptable Courses | Course Name |
|---|---|
| BME 59500 | Experimental Methods in BME |
| BME 59500 | Neural Engineering |
| ECE 53800 | Digital Signal Processing |
| ECE 57000 | Artificial Intelligence |
| ECE 60000 | Random Variable and Signals |
| ECE 62900 | Introduction to Neural Networks |
| ME 59700 | Finite Element Analysis |