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.

Example of Acceptable Courses Course Name
AAE 55400 Fatigue Struct & Matls
BME 59500 (BME 50100) Biostatistics
BME 59500 (BME 51100) Biomedical Signal Processing
BME 59500 Continuum Models Biomed Engr
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 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