Statistics- Master of Science, Certificate

For more information, contact:
Director of Graduate Studies
Department of Statistics
311 Upham Hall (513-529-7828)
http://www.units.miamioh.edu/sta/

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)

All of these:

STA 502 Statistical Programming (3)

STA 563 Regression Analysis (4)

STA 566 Experimental Design Methods (4)

STA 664, 665 Theory of Statistics (3, 3)

STA 666 General Linear Models (3)

One of these:

STA 660 Practicum in Data Analysis (3)

STA 663 Introduction to Applied Probability (3)

Nine additional hours from these:

STA 527 Introduction to Bayesian Statistics (3)

STA 567 Multivariate Analysis (3)

STA 583 Analysis of Forecasting Systems (3)

STA 584 Analysis of Categorical Data (3)

STA 650 Topics in Statistics (1-4)

STA 660 Practicum in Data Analysis (3)

STA 663 Introduction to Applied Probability (3)

STA 667 An Introduction to Multivariate Statistical Analysis (3)

STA 668 Sampling Theory and Techniques (3)

STA 669 Nonparametric Statistics (3)

STA 684 Categorical Data Analysis (3)

STA 685 Biostatistics (3)

STA 686 Quality Control and Industrial Statistics (3)

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

STA 671 Environmental Statistics (3)

EHS 667 Behavior Statistics (3)

GTY 708 Quantitative Methods and Statistics (4)

PSY 601 Statistics and Methods I (3)

STA 501 Probability (3) and

STA 562 Inferential Statistics (3) or

other comparable course(s) approved by the Coordinating Committee

Regression and Experimental Design

IES 612 Environmental Analysis and Modeling (4)

EHS 668 Behavior Statistics II (3)

GTY 718 Statistical Modeling in Gerontology (3)

PSY 602 Statistics and Methods II (3)

STA 563 Regression Analysis (4) or

other comparable course(s) approved by the Coordinating Committee

Statistical Programming

STA 502 Statistical Programming (3)

CSE 603 Computer Programming (4) or

other comparable course(s) approved by the Coordinating Committee

Advanced Methods

STA 583 Analysis of Forecasting Systems (3)

GTY 750 Special Topics in Advanced Quantitative Methodology in Aging Research (1-4) or

other comparable course(s) approved by the Coordinating Committee

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