Statistics

Degrees offered: Master of Applied Statistics, Master of Science, Doctor of Philosophy

Areas of specialization:

These are analysis of variance, applied probability, multivariate analysis, nonparametric methods, Bayesian analysis, decision theory, discrete data analysis, experimental design, multiple comparisons, order statistics, ranking models, reliability theory, robust procedures, sampling theory, statistical computing, simulation and Monte Carlo techniques, statistical inference, and stochastic processes.

All requirements listed below are in addition to general Graduate School requirements stated elsewhere in this bulletin.

Admission requirements:

Graduate work in statistics presupposes an undergraduate degree with a major in mathematics or its equivalent, or in statistics. The undergraduate program should include courses in advanced calculus and linear algebra. An introductory course in probability and statistics is desirable. Students who are deficient in some of these areas should plan to remedy this matter in their first year of graduate study.

Master's degree requirements:

Both the thesis and non-thesis master's degree program plans are offered. For the Master of Applied Statistics, the student will take 37 hours of required courses and 13 hours of electives as approved by the Graduate Studies Committee. The plan of study for the Master of Applied Statistics degree must be approved by the Graduate Studies Committee during the second quarter in which the student is enrolled in the program.

Candidates for the Master of Science degree will take graduate-level courses in the following fields: analysis of variance, multivariate analysis, nonparametric statistics; and do some applied work in the Statistical Consulting Service.

All requirements for the degree must be completed within four years.

Doctoral degree requirements:

Students in statistics will be responsible for decision theory, design of experiments, probability, real analysis, linear algebra, analysis of variance, multivariate analysis, nonparametric statistics, estimation, and tests of hypotheses.

Excerpt from Graduate School Bulletin, The Ohio State University.