Location:

Rochester, United States

Program Type:

Full Degree

Degree Level:

Master

Specialty:

Statistics & Data Analytics

Program Overview

Program Description:

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 methodology. 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.

Additional Program Information

Accreditation:

Oakland University is accredited as a doctoral degree-granting institution by the Higher Learning Commission of the North Central Association of Colleges and Schools.

Financial Aid:

Yes

Requirements:

Online Application, Official transcripts providing evidence of an earned baccalaureate degree from an accredited U.S. institution, Official transcripts for all post-secondary educational institutions from which the applicant earned a degree, Two official and original Recommendation for Graduate Admission forms, Proof of English language proficiency, All applicants who have received a baccalaureate from a regionally accredited institution with a cumulative GPA of 3.0 or more 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.

International Requirements:

International applicants requiring an I-20 for a visa must also submit additional documents, including an International Student Supplemental Application, financial documents, transcript evaluations, and proof of English language proficiency (TOEFL, IELTS or MELAB).