By offering the Master of Science in applied statistics degree program, the department seeks to increase the number of people with broad training in statistical methodology that is suitable for application in industrial, business and governmental settings. The program’s primary goal is to provide the basis for the skilled and competent application of modern statistical methods. Areas of methodology in the program, in addition to a basic theoretical foundation, include design of experiments, regression analysis, discrete data, statistical computing, statistical process control, Bayesian, non-parametric, multivariate, reliability, sample survey, and time series. All applied courses make use of and stress the importance of modern statistical computing software. Courses required for the program are offered in the late afternoon or evening to accommodate the part-time student. Teaching assistantships are available to full-time students on a competitive basis.
A biostatistics concentration is offered within the Master of Science in applied statistics degree program. This coursework provides students with the quantitative knowledge and skills required for health-related careers within academia, industry, and government, including clinical trials, epidemiology, and observational studies, survey research, and genetics.
Admission terms and application deadlines
Before an applicant’s file can be reviewed for full program admission, all application documents must be received in Oakland University Graduate School by the semester deadlines listed below. Incomplete applications will not be sent to departments for admission review.
- February 15 (early), April 15 (regular), and July 15 (late) for fall semester
- October 1 (early) and November 15 (regular) for winter semester
- March 1 for summer semester
- International applicants
To be considered for graduate admission, applicants must submit all Graduate Application Requirements and additional department requirements by the published application deadlines:
- Additional department application requirements
- All applicants who have received a baccalaureate from a regionally accredited institution with a cumulative GPA of 3.00 or better will be considered.
- Previous mathematical training should include the satisfactory completion of courses in multivariable calculus and linear algebra, as well as at least one introductory course in statistics. Applicants should also have some background in scientific computing.
- Applicants who wish to be considered for a teaching assistantship should also submit a brief (up to 500 words) personal statement describing their goals and any prior teaching experience or other potentially relevant background. This statement should be sent to the Graduate Coordinator no later than February 15 in order to be considered for an appointment for the following academic year.
Admission review and assessment
Admission to graduate school at Oakland University is selective. In making admission recommendations to Oakland University Graduate School, each department assesses the potential of applicants for success in the program by examining their undergraduate records, goal statement, letters of recommendation, prerequisite courses and any other admission requirements established by the academic department.