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Program DescriptionThe graduate program is offered in a flexible 4+1 format where currently enrolled undergraduate students in mathematics and other disciplines at USM may earn both an undergraduate degree and the M.S. degree in statistics in five years. Candidates planning to earn both the undergraduate and the graduate degrees in five years are advised to take MAT 281 (Probability) and MAT 282 (Statistical Inference) in the sophomore year, take upper-level undergraduate courses in relevant concentrations in the junior year, and take graduate-level courses in the senior year. The student will receive graduate standing after satisfactory completion of all requirements for the undergraduate degree. Candidates holding baccalaureate degrees from accredited institutions may join the program directly at the master's level. A student may earn up to two credits by way of internship with local industry. Guidance will be provided in locating internship opportunities.
The graduate program is truly interdisciplinary, providing the student with the opportunity to tailor
specifically the program to individual interests. Students may customize their program of study. A list of possible
concentrations and relevant courses is given below: 1. Applied Statistics 2. Operations Research 3. Applied Mathematics 4. Biostatistics
Admission RequirementsWe encourage applications from students with undergraduate degrees in business, computer science, education, mathematics, statistics, engineering, or one of the behavioral or social sciences. It is required that the applicant have completed the following USM courses: MAT 152D (Calculus A) , MAT 281 (Probability) , and MAT 282 (Statistical Inference). or their equivalents. Conditional admission status may be granted to students who do not fully meet these requirements, but have a good working knowledge of statistical methods. Upon successful completion of preparatory coursework, the student will be granted regular admission status. Currently enrolled students at USM may apply for admission anytime after attaining junior standing by writing to the graduate program director. Additional requirements include copies of all transcripts, current vitae, a personal statement, a GPA of 2.75 or better, and two letters of recommendation. A student already holding a baccalaureate degree from an accredited institution may apply directly to the Office of Graduate Studies and Research. Additional requirements include copies of all transcripts, current vitae, a personal statement, a GPA of 3.0 or better, GRE scores and three letters of recommendation. Applicants whose first language is not English are required to submit TOEFL scores. For more general infomation about graduate studies at USM, please visit the web page of Office of Graduate Studies (OGS); The general admission requirements and the application forms can be found at the link Admission to Graduate Programs; The specific requirements for international applicants can be found at the link International Students.
Application DeadlinesThe program has a rolling admission policy. However, deadlines for candidates seeking financial support are April 15 for the fall semester and October 15 for the spring semester.
Financial SupportA limited number of teaching assistantships which cover tuition plus a stipend, and tuition waivers are available to students receiving regular graduate admission. Requests for an assistantship and/or a tuition waiver should accompany the application. priority will be given to applications received by January 15. [Back to top]
Degree RequirementsThe requirements for the M.S. degree in statistics consist of 30 credit hours, at least 18 of which must be graduate courses (not counting Graduate Internship) and offered by the USM graduate program (i.e. STA, OPR or MAT graduate courses, see list below). STA 580 (Statistical Inference) is a required course for all degree candidates. A student meeting the above requirements may take additional courses subject to the following policies: 1. At most six of the required credits may be earned by taking pre-approved relevant upper level undergraduate courses. 2. For students within the 4+1 format, at most two pre-approved relevant graduate courses may be used for both the undergraduate and graduate degrees. 3. All courses applied toward the graduate degree must be completed within six years of enrollment in the graduate program with a cumulative GPA of 3.0 or better. A student may choose to include a pre-approved six-credit master's thesis or project towards the degree. This option is highly recommended. If one chooses to pursue a project, it should solve a relevant problem from business or industry. 4. A student may earn up to two credit hours as an intern, and up to three graduate independent study credits under the supervision of a faculty member associated with our graduate program. With the approval of the graduate committee, a student may transfer a maximum of six credit hours for graduate work completed at other institutions or in other graduate programs at USM. [Back to top]
Graduate Certificate in StatisticsThe Department of Mathematics offers a graduate certificate in statistics for those candidates who are not interested in a full master's degree in statistics, but need only a working knowledge of statistical methodologies. The application procedure and forms can be found at USM Graduate Admissions. Applicants must hold a baccalaureate degree from an accredited institution with a cumulative GPA of at least 2.75, and must have completed MAT 153 (Calculus B), MAT 281 (Probability), and MAT 282 (Statistical Inference) or their equivalents. To earn the graduate certificate, a candidate will need to earn a minimum of 15 graduate credits in statistics, at least 12 of which are at the graduate level. A cumulative GPA of 3.0 or better is required in these courses. Courses taken for the certificate can also be used towards the master's degree in Statistics.
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Graduate FacultyAbouEl-Makarim Aboueissa, Ph.D. (2002)Environmental Statistics Muhammad El-Taha, Ph.D. (1987) Queueing Systems, Operations Research Merle Guay, Ph.D. (1969) Topology, Analysis Bhisham Gupta, Ph.D. (1972) Design of Experiment, Quality Control Kelley McCormick, Ph.D. (2005) Mathematics Education Cheng Peng, Ph.D. (2003) Generalized Linear Models, Categorical Data Analysis Silvia Valdés, Ph.D. (1993) Commutative Ring Theory, Projective Geometry Douglas Thomposn, Ph.D. (1989) Biostatistics, Epidemiology University of Southern MaineThe University of Southern Maine is a comprehensive regional university with over 10,000 students. As the major university in Southern Maine, USM attracts many nontraditional students to its mathematics and statistics programs. The Department of Mathematics and Statistics offers courses on both the Portland and Gorham campuses. Portland is a lovely city with many cultural offerings. Opportunities for musical, culinary, and artistic experiences abound. Outdoor enthusiasts enjoy the nearby lakes, ocean, mountains, and hiking and ski trails. Contact InformationFor further information please contact:
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