University of Vermont

2012-2013 Catalogue

Statistics (Master of Science)

Overview

The Statistics Program offers biostatistics, statistics, and probability courses for the entire university community along with traditional degree programs and individually designed degree programs emphasizing statistics applied to other fields. The degree programs are designed primarily for students who plan careers in business, actuarial science, industry, and government or advanced training in disciplines that make extensive use of statistical principles and methods. The program faculty is deeply involved in consulting and collaborative research in a wide variety of fields, including industry, agriculture and in the basic and clinical medical sciences. These research activities along with the research of other quantitative UVM faculty offer students unique opportunities to apply their classroom training to "real world" problems. Qualified students with the goal of learning statistics to use in a specialized area of application are especially encouraged to take advantage of these cooperative arrangements.

Program faculty have active statistics research efforts in areas such as bioinformatics, sequential analysis, three stage sampling, time series analysis, survival data analysis, discriminant analysis, bootstrap methods, categorical data analysis, measurement error models, and experimental design. Students seeking the traditional graduate degree in statistics (along with course work in mathematics and computer science, if desired) have excellent opportunities to participate in the faculty's research.

General Requirements

Specific Requirements

Requirements for Admission to Graduate Studies and Advancement to Candidacy for the Degree of Master of Science

A baccalaureate degree. Three semesters of calculus, a course in matrix methods, and one semester of statistics. Provisional acceptance can be given prior to the completion of these requirements. Satisfactory scores on the general (aptitude) portion of the Graduate Record Examination are required for most sources of financial aid. Computer experience is highly recommended.

Current undergraduate students at the University of Vermont should contact the program director for details on the Accelerated Master’s Program (AMP).

Minimum Degree Requirements for the Degree of Master of Science

Plan A (Thesis): A thirty semester credit program requiring twenty-four credits of statistics course work. The program must include STAT 221, STAT 223, STAT 231, STAT 251, STAT 261, STAT 360, one of STAT 233 or STAT 235, and at least one other 200/300-level statistics course (except STAT 211, STAT 241, STAT 281, STAT 308), as well as (if approved) other courses in mathematics, quantitative methods, or specialized fields of application of career interest to the student. Six credits of thesis research is required (STAT 391).

Plan B (Non-thesis): A thirty-three semester credit program requiring thirty credits of course work. The program must include STAT 221, STAT 223, STAT 231, STAT 251, STAT 261, STAT 360, one of STAT 233 or STAT 235, other 200/300-level statistics courses (except STAT 211,STAT 241, STAT 218, STAT 308), or (if approved) other courses in mathematics, quantitative methods, or specialized fields of application of career interest to the student. The research project requirement is met by taking three semester hours of either statistical research (STAT 381) or statistical consulting (STAT 385).

Under both plans, students must have or acquire knowledge of the material in STAT 211: Statistical Methods I. The student is expected to participate in the colloquium series of the Program and in the Statistics Student Association Journal Club. The student must pass the comprehensive examination which covers knowledge acquired in the core courses of the program. Under the non-thesis option, students will be expected to take major responsibility for a comprehensive data analysis or methodological research project, and are encouraged to present the results from the project.

Affiliations

[Location]

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