Department of Mathematics and Statistics

Certificate Program in Applied Statistics

Director: Aboueissa
Professors: El-Taha, Guay, Gupta
Associate Professors: Valdés, Peng
Assistant Professors: Aboueissa, McCormick
Adjunct Professor: Thompson

The graduate program in statistics is designed to provide students with a broad knowledge of the concepts and practice of statistics and related fields. Students are prepared to assume positions of responsibility and expertise. Graduates may find employment involving diverse statistics-related activities in business, industry, government, regulatory agencies, insurance companies, biotechnology firms, and marketing research firms. Graduates possess a good foundation to pursue further advanced studies in statistical sciences and allied disciplines.

Scroll down for the following information about the graduate program:

Program Description
Program Tracks
Admission Requirements
Financial Support
Degree Requirements
Graduate Courses
Graduate Certificate in Statistics
Contact Information
Applying for Admission     

Program Description

The 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.

 

Program Tracks

The graduate program has three tracks. The highlight of the program is the new Professional Science Master’s Program in Biostatistics. The other two tracks are Applied Statistics and Operations Research/Applied Mathematics.

The graduate program is truly interdisciplinary, providing the student with the opportunity to tailor programs specifically to individual interests. Students may customize their program of study. A list of possible concentrations and relevant courses is given below:

First Track: Professional Science Master’s Program in Biostatistics

The University of Southern Maine is offering a new Professional Science Master’s (PSM) program as part of the Master’s of Science in Statistics. The PSM is a new type of two-year graduate program in the sciences and mathematics that equips students for work in public and private business sectors.

The Biostatistics track provides formal training in applied statistical methods that are commonly used in biomedical, bioinformatics, environmental, and health-related fields. The program emphasizes solving real-world problems that influence health by focusing on up-to-date statistical methodologies and their implementation with strong statistical programming capability. The areas of study include biostatistical study designs, modeling, and the reporting of rigorous statistical results for scientific decision making. Statistical areas of study include clinical trials, experimental design, categorical and longitudinal data analysis, and survival analysis. Internship, technical writing, and management skills are required components of the program. Graduates will ideally find positions in professional settings such as health care agencies, governmental agencies, and the pharmaceutical industry, among others.

Requirements for Biostatistics Track
I. Core Courses: 15 credits

    AMS 535 Epidemiology (3 cr)
    AMS 677 Regression Models in Biostatistics (3 cr) OR
    STA 587 Categorical Data Analysis (3 cr)
    STA 574 Statistical Programming (3 cr)
    STA 580 Applied Statistical/Biostatical Methods (3 cr)
    STA 583 Sample Survey Design and Analysis (3 cr)


II. Extra Disciplinary Credits: 5 credits

Ethics:

    STA 501 Ethical Issues in Biostatistics (2 cr)

Management - Select one of the following courses:

    MBA 670 Management Science (3 cr)
    HPM 636 Health Information Management (3 cr)
    OPR 561 Deterministic Models in Operations Research (3 cr)


III. Practical Experience: 3 credits

    STA/OPR/MAT 575 Graduate Internship and Writing (3 cr)

IV. Electives: Choose 9 credits of the following

    STA/OPR 562 Stochastic Modeling (3 cr)
    STA/OPR 563 Simulation Modeling and Analysis (3 cr)
    STA 582 Introduction to Longitudinal Data Analysis (3 cr)
    STA 584 Design & Analysis of Experiments (3 cr)
    STA 585 Linear Models and Forecasting (3 cr)
    STA 589 Survival Analysis (3 cr)
    STA 591 Topics in Biostatistics (3 cr)


 

Second Track: Applied Statistics

Required Courses:

    STA 574 Statistical Programming (3 cr)
    STA 580 Applied Statistical/Biostatical Methods (3 cr)

Additional Courses to Select From:

    STA /OPR 562 Stochastic Modeling (3 cr)
    STA /OPR 563 Simulation Modeling and Analysis (3 cr)
    STA/OPR/MAT 575 Graduate Internship and Writing (3 cr)
    STA 581 Statistical Quality Control (3 cr)
    STA 582 Introduction to Longitudinal Data Analysis (3 cr)
    STA 583 Sample Survey Design and Analysis (3 cr)
    STA 584 Design & Analysis of Experiments (3 cr)
    STA 585 Linear Models and Forecasting (3 cr)
    STA 587 Categorical Data Analysis (3 cr)
    STA 589 Survival Analysis (3 cr)
    STA 591 Topics in Biostatistics (3 cr)



Third Track: Operations Research/Applied Mathematics
Required Courses:

    OPR 561 Deterministic Models in Operations Research (3 cr)
    OPR /STA / 562 Stochastic Modeling (3 cr)
    OPR /STA / 563 Simulation Modeling and Analysis (3 cr)
    STA 580 Applied Statistical/Biostatical Methods (3 cr)

Additional Courses to Select From:

    OPR /STA 564 Queueing Networks (3 cr)
    OPR/MAT 571 Graph Theory (3 cr)
    OPR/STA 575 Graduate Internship and Writing (3 cr)
    STA 581 Statistical Quality Control (3 cr)
    STA 582 Introduction to Longitudinal Data Analysis (3 cr)
    STA 583 Sample Survey Design and Analysis (3 cr)
    STA 584 Design & Analysis of Experiments (3 cr)
    STA 585 Linear Models and Forecasting (3 cr)
    STA 587 Categorical Data Analysis (3 cr)
    STA 589 Survival Analysis (3 cr)
    STA 591 Topics in Biostatistics (3 cr)

Requirements for Second and Third Tracks

The requirements for the M.S. degree in statistics consist of a minimum of 30 credit hours. At least 18 credit hours must be graduate courses offered by the graduate program, excluding graduate internship credits, independent study credits, or thesis/project credits. A student meeting the above requirements has the flexibility of taking additional courses subject to the following policies: At most six of the required credits may be earned by taking pre-approved relevant upper level undergraduate courses. Moreover, the student may earn up to three credits by way of internship with local industry. The program will provide guidance in locating internship opportunities.

 

Requirements for All Tracks

In addition to the specific track requirements all degree students will be subject to the following requirements.

    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. At least 18 credit hours should be taken by students after full matriculation.

    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. Otherwise, additional coursework must be taken to fulfill program requirements.

    Our program policies allow a student to earn 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, including those listed in concentrations.

    A student must register for at least one course every semester to maintain continuous enrollment. Students who do not maintain continuous enrollment will be dropped from the program and will have to reapply for admission to continue. Students who anticipate being unable to take classes may apply in writing for a fixed-term leave of absence.

    A student whose grade point average (GPA) falls below 3.0 will be placed on academic probation. In this case a student will be allowed 12 semester hours to raise their GPA to, or above, the 3.0 minimum by taking only graduate-level courses. Students unsuccessful in raising their GPA during a probationary period may be dismissed from the program.

 

Admission Requirements

We 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 Deadlines

The 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 Support

A 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.

 

Degree Requirements

The 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 three 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.

 

Graduate Certificate in Statistics

The 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.

 

Computer Facilities

The University offers excellent computer facilities.  There are a variety of student computer labs on campus.  All students registered in a class at USM are provided an account to access computer labs.  The University also offers numerous training seminars on the use of various software.  The commonly used statistics and mathematics software packages are available to students.

 

Graduate Faculty

AbouEl-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)
Regression Modeling, Biostatistics, Statistical Computation

Silvia Vald?/font>s, Ph.D. (1993)
Commutative Ring Theory, Projective Geometry

Douglas Thomposn, Ph.D. (1989)
Biostatistics, Epidemiology


University of Southern Maine

The 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 Information

For further information please contact:

AbouEl-Makarim Aboueissa
Graduate Program Director
Office: 301C Payson Smith
Phone: (207) 228-8389
e-mail: aaboueissa@usm.maine.edu