Statistics (M.S.) (Combined B.S. Mathematics/M.S.)

Program Requirements

9 credits will be applied from the Undergraduate program

Statistics Core
STAT 532Fundamentals of Statistics3
STAT 534Statistical Computing3
STAT 536Statistical Theory3
STAT 537Design and Analysis of Experiments3
STAT 538Regression Methods3
Statistics Electives
Select one of the following:3
Biostatistics: Categorical Data Analysis
Biostatistics: Clinical Trials and Survival Analysis
Multivariate Analysis
Advanced Statistical Methods
Select three courses from the list below (one of the three may be from Applied Mathematics or Computer Science).9
Culminating Experience
Select one of the following options:3
Thesis Option
Master's Thesis
Submit the completed Thesis original and one copy to the Graduate Office. See Thesis Guidelines for details.
Capstone Option
Capstone Experience
Total Credits30

 Electives

AMAT 530Scientific and Numerical Computing I3
AMAT 532Applied Linear Algebra3
AMAT 534Data-Driven Modeling and Computation3
AMAT 536Applied Probability and Stochastic Processes3
AMAT 542Methods of Applied Mathematics3
AMAT 544Applied Differential Equations3
AMAT 546Mathematical Biology3
AMAT 548Nonlinear Dynamics3
CSIT 515Software Engineering3
CSIT 531Robotics3
CSIT 535Human-Computer Interaction (HCI)3
CSIT 555Database Systems3
CSIT 598Machine Learning3
STAT 545Practicum in Statistics I3
STAT 546Non-Parametric Statistics3
STAT 549Sampling Techniques3
STAT 561Statistical Data Mining I3
STAT 562Statistical Data Mining II3
STAT 570Statistical Consulting3
STAT 571Time Series Analysis3
STAT 572Missing Data Analysis3
STAT 577Applied Longitudinal Data Analysis3
STAT 595Special Topics in Statistics3
STAT 640Biostatistics: Categorical Data Analysis3
STAT 641Biostatistics: Clinical Trials and Survival Analysis3
STAT 645Special Topics in Advanced Statistics3
STAT 646Multivariate Analysis3
STAT 647Practicum in Statistics II3
STAT 648Advanced Statistical Methods3
STAT 649Independent Study in Statistics3
STAT 656Functional Analysis3
STAT 657Advanced Design and Analysis of Experiments3