Department of Statistics
439 West Hall, 1085 South University Ave., Ann Arbor, MI 48109-1107
Phone: 734.763.3519Fax: 734.763.4676
Please note that this Program was updated for students admitted beginning Fall 2011 and supersedes previous versions.
The regular Master's degree (Master of Arts in Statistics) is restricted to students who are already enrolled in a Ph.D. program at the University of Michigan in Ann Arbor. It is a dual degree earned while a student is working towards a Ph.D. in another field, aimed at students who do a significant amount of statistics as part of their thesis research. It is also awarded as an embedded degree to students working towards a Ph.D. in Statistics.
Students interested in a Master’s degree in Statistics who are not currently enrolled in a Ph.D. program at the University of Michigan, or whose Ph.D. thesis at Michigan does not involve a significant statistical component, should apply to the Master’s Program in Applied Statistics.
Applicants must have already been accepted by a Rackham Ph.D. program and should have a reasonable background in calculus, linear algebra, introductory probability, and introductory statistics.
Prospective applicants are encouraged to consult with the Department of Statistics prior to submitting an application. Students are strongly discouraged from completing the course requirements and then applying to the program. Note also that you must be enrolled in the program for one year and complete a writing component before the degree is awarded.
Applicants should submit a Dual Degree form to the Statistics Department Main Office (439 West Hall). A letter of recommendation from the applicant's Ph.D. Advisor is also required, along with an up-to-date CV and Statement of Purpose.
The Fall 2014 application deadline is April 1, 2014, and the Winter 2014 application deadline is December 1, 2013.
The program requires a minimum of 24 credit hours of course work, including two cognate courses, and a writing component. Course selection must be pre-approved by the Program Advisor. Specifically, the requirements are:
Students who have already taken courses that are equivalent to the required courses should discuss possible substitutions with the Program Advisor. Note that all students have to complete at least 24 credit hours in the program.
The following courses are acceptable as electives.
STATS 504: Statistical Consulting
STATS 509: Statistics for Financial Data
STATS 531: Analysis of Time Series
STATS 535: Reliability
BIOSTAT 675: Survival Time Analysis
STATS 547: Probabilistic Modeling in Bioinformatics
STATS 560: Introduction to Nonparametric Statistics
STATS 570: Design of Experiments
STATS 580: Methods and Theory of Sample Design
BIOSTAT 682: Applied Bayesian Inference
BIOSTAT 695: Analysis of Categorical Data
SOC 619: Categorical Data Analysis.
BIOSTAT 696: Spatial Statistics
All STATS courses 600-level or above can be used as elective courses, with the exception that students can not use 600, 601 as electives if they have taken STATS 500, 503, and that they can not use 610, 611 as electives if they have taken BIOSTAT 601 and 602.
To obtain credits toward the degree requirement for cross-listed courses, students have to enroll under the STATS course number.
Since the dual degree is primarily designed for students who do a significant amount of statistics for their thesis research, the students in the program are required to have a Ph.D. thesis chapter, or a thesis-based research paper submitted for publication, which demonstrates mastery of statistical methods at the level of a Master's project. The writing component may focus on data collection (design of experiments, survey design), modeling and analysis of data, or both. It must be approved by a member of the student's Ph.D. committee with an appointment in the Statistics department. This committee member will need to sign a form approving the statistical writing component, typically at the time of the defense. The student must also provide a two-page summary of the writing component, to be submitted with the signed approval form, describing the scientific problem under investigation, its importance, and statistical methods used.
In the event that the student's thesis does not have a sufficient statistical component, this requirement may be replaced with two additional elective courses (at least 6 credit hours), making the total credit requirement equivalent to that of the Master's Program in Applied Statistics. Students are strongly advised to consult with the Statistics faculty member on their committee well in advance of the defense to determine the best course of action. Those who do not anticipate having a significant statistical component in their thesis should apply directly to the Master's Program in Applied Statistics.