Training in statistical modeling and modern statistical methods with a strong theoretical insights and variety of applications.

Faculty expertise: Bayesian statistics; biostatistics; stochastic modeling; spatio-temporal statistics; statistics in natural resources and ecology; social science statistics including applications in psychology, economics and education; business (business-to-business pricing); survey sampling; genomics and bioinformatics.

Degree requirements: The general requirements for receiving a master’s degree are at least 30 semester hours of course work at the 7000 level or higher, of which at least 18 hours must be from the Department of Statistics at MU. The 30 hours may not include credit hours of

STAT 7020 Statistical Methods in the Health Sciences 3
STAT 7050 Connecting Statistics to Middle and Secondary Schools 3
STAT 7510 Applied Statistical Models I 3
STAT 7530 Analysis of Variance 3
STAT 7710 Introduction to Mathematical Statistics 3
STAT 8090 Master's Thesis Research in Statistics (more than a total of six hours of) 1-99
STAT 8220 Applied Statistical Models II 3

At least 15 semester hours of course work at the 8000 level or above must be taken from the Department of Statistics at MU. The 15 semester hours cannot include more than a total of three hours of STAT 8090.

Additional courses recommended but not required are:

STAT 7110 Statistical Software and Data Analysis 3
STAT 7310 Sampling Techniques 3
STAT 7410 Biostatistics and Clinical Trials 3
STAT 7420 Applied Survival Analysis 3
STAT 7610 Applied Spatial Statistics 3
STAT 7830 Categorical Data Analysis 3
STAT 7850 Introduction to Stochastic Processes 3
STAT 7870 Time Series Analysis 3
STAT 8310 Data Analysis I 3
STAT 8320 Data Analysis II 3
STAT 8370 Statistical Consulting 3
STAT 8410 Statistical Theory of Bioinformatics 3
STAT 8640 Bayesian Analysis I 3
STAT 9250 Statistical Computation and Simulation 3
STAT 9310 Theory of Linear Models 3
STAT 9410 Survival Analysis 3
MATH 7700 Advanced Calculus of One Real Variable I 3
CMP_SC 1050 Algorithm Design and Programming I 4
or CMP_SC 2050 Algorithm Design and Programming II

Remedial Courses: The following courses are required if equivalent courses were not taken as an undergraduate: MATH 7140STAT 7750 and STAT 7760. These courses may not be used for more than six of the required 30 hours.

Prerequisites: Three semesters of calculus for the physical sciences including calculus of several variables or equivalent; one semester of linear algebra; at least one semester of mathematical statistics. TOEFL and GRE scores required. Applicants need not be mathematics or statistics majors.

A candidate for the regular Master of Arts degree, may choose either an exam or a thesis option in order to satisfy the main requirement for the Master’s degree.

Exam Option: A candidate may choose to take the qualifying exam (the same exam as Ph.D. candidates, see Doctorate of Statistics requirements for more details) instead of writing a thesis and presenting it.

Thesis Option: Under this option, all candidates must submit a written report on an independent effort toward producing original work. This report may, with the adviser’s consent, take the form of a thesis, a written review on a set of papers in statistics, or a written report on an independent study project, which may include an original application of statistics. For this work, a student must register for at least three semester hours of 8090.  Under the thesis option, all candidates are required to present an open seminar on the results of the written report. The report should be made available for public review, through the Department of Statistics office, for at least one week before the examination. Under the thesis option, the MA examination covers material presented in the written report and the seminar and may also cover course work.

Further information: contact Abbie R. Van Nice