Statistics- Master of Science, Certificate

For more information, contact:
Director of Graduate Studies
Department of Statistics
311 Upham Hall, 513-529-7828

Admission Requirement - Master of Science

A knowledge of mathematics at least equivalent to multidimensional calculus (MTH 252) is required.

Program Requirements - Master of Science

(32 semester hours)

STA 502Statistical Programming3
STA 563Regression Analysis4
STA 566Experimental Design Methods4
STA 664
STA 665
Theory of Statistics
and Theory of Statistics
STA 666General Linear Models3
STA 660Practicum in Data Analysis3
or STA 663 An Introduction to Applied Probability
Select nine additional hours of the following:9
Introduction to Bayesian Statistics
Statistical Learning
Analysis of Forecasting Systems
Topics in Statistics
Practicum in Data Analysis
An Introduction to Applied Probability
An Introduction to Multivariate Statistical Analysis
Sampling Theory and Techniques
Nonparametric Statistics
Categorical Data Analysis
Quality Control and Industrial Statistics
Total Credit Hours32

No thesis is required.

Applied Statistics - Certificate

Statistics is the language of experimentation and scientific inquiry. Statistics as a discipline provides insights into the best methods associated with the collection, analysis, and presentation of numerical data. Decisions related to the design of surveys and experiments, the collection, processing, and analysis of data; and the interpretation of the results are directly impacted by statistics. Further, these decisions cut across disciplines. This graduate certificate provides a broader exposure to statistics that includes basic background (introductory statistics), essential ideas in modeling (regression and experimental design), programming to generate customized analytic solutions and a collection of advanced methods courses. The certificate requires a minimum of twelve hours of coursework comprised of one course from each of the four areas below:

Introductory Statistics
Select one of the following:3
Environmental Statistics
Behavior Statistics
Quantitative Methods and Statistics
Statistics and Methods I
Inferential Statistics
Other comparable course(s) approved by the Coordinating Committee
Regression and Experimental Design
Select one of the following:4
Behavior Statistics II
Statistical Modeling in Gerontology
Statistics and Methods II
Regression Analysis
Statistical Modeling and Study Design
Other comparable course(s) approved by the Coordinating Committee
Statistical Programming
Select one of the following:3
Statistical Programming
Computer Programming
Other comparable course(s) approved by the Coordinating Committee
Advanced Methods
Select one of the following:3-4
Analysis of Forecasting Systems
Special Topics in Advanced Quantitative Methodology in Aging Research
Other comparable course(s) approved by the Coordinating Committee
Total Credit Hours13-14

Analytics for Professionals

Analytics describes the extensive use of data to guide evidence-based decision-making. This field has emerged during a time when massively large data sets are being collected throughout society. Analytics lives at the junction between numerous traditional discipilines including information systems and statistics. This program will provide a framework for thinking about the collection and use of so-called "big data" and students will develop skills for handling structured and unstructured data sets and for developing models to predict behaviour in data-rich environments.

STA/ISA 635Introduction to Predictive Analytics3
ISA 636Managing Data for Business Analytics3
STA 637Statistical Programming and Data Visualization3
ISA/STA 638Predictive Analytics and Data Mining3
Total Credit Hours12