Probability and Statistics
(Sponsored by the Department of Applied Mathematics & Statistics)
Admissions Requirements
One upper-division undergraduate course in probability and one in mathematical statistics (equivalent to 550.420 Introduction to Probability and 550.430 Introduction to Statistics).
Curricular Requirements
Any five (5) of the following courses, approved by the faculty advisor:
550.413 Applied Statistics and Data Analysis
550.426 Introduction to Stochastic Processes
550.432 Linear Statistical Models
550.433 Monte Carlo Simulation and Reliability
550.434 Nonparametric and Robust Methods
550.435 Bioinformatics and Statistical Genetics
550.436 Data Mining
550.437 Information, Statistics, and Perception
550.438 Statistical Methods in Computer Intrusion Detection
550.439 Time Series Analysis
550.620 Probability Theory I
550.630 Statistical Theory I
550.631 Statistical Theory II
550.632 Multivariate Statistical Theory
550.633 Time Series Analysis
550.634 Nonparametric and Robust Inference
550.635 Topics in Bioinformatics
550.730 Topics in Statistics
550.731 Case Studies in Applied Statistics
Additional Requirements
- An overall GPA of 3.0 must be maintained in courses used to meet the program's technical requirements. At most two course grades of C or C+ are allowed to be used, and the rest of the course grades must be B- or better.
- Students must satisfy the department’s graduate student computing requirement.
- With advisor’s approval, one non-departmental course containing appropriate mathematical or statistical content can be counted to satisfy the five course requirement.
"Individuals who are able to combine a specific engineering or technology-related background with additional understanding and appreciation of such critical concepts as marketing strategy, finance, organizational development, and communications will better position themselves for leadership opportunities among high technology employers."
- James Pitts, Corporate Vice President and President, Northrop Grumman Electronic Systems
