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Master of Science Program in Statistics
The Master of Science program in statistics at San Diego State University is the ideal vehicle for a student who would like to gain employment as a statistician in private industry, government or education. The program gives students a solid background in statistical theory and can be used as a stepping-stone to a Ph.D. program in statistics. The program also gives students practical experience with applied methods, including statistical computing and statistical consulting, that is highly valued by industry and government employers. For those interested in teaching statistics, opportunities to teach Introductory Statistics are available; pedagogical techniques are discussed in Stat 790 Teaching Assistant Training. Students may pursue either the general degree or a Concentration in Biostatistics that emphasizes statistical methods and applications in the biological, health, and medical sciences.
Students entering the master's program should have three semesters of calculus, one semester of a calculus-based probability course, and one semester of linear algebra. Students should also have working knowledge of a computer programming language. Students lacking some of the above undergraduate background may be admitted conditionally and may make up this coursework during the first year of the program (these courses do not count toward the degree course requirements). Requirements concerning the GRE exam and GPA requirements are the same as for the other SDSU graduate programs. A GRE combined score (quantitative and verbal scores) of 950 and a GPA of 2.85 (3.0 GPA international) are expected. Financial Aid The Department of Mathematics
and Statistics offers a limited number of research and teaching assistantships,
applications for which should include transcripts and two letters of
reference, to be submitted to the Department Chair. Off-campus professional
employment may be obtained through a University Foundation work-study
program, administered by the Placement Center. The Department maintains a web page with further information on admission and financial support. Program Requirements Candidates must complete
30 units of graduate level and approved upper division coursework, as
described below. Thesis Requirements General requirements for the master's thesis are as described in the graduate bulletin. As defined in the bulletin: A thesis is the written product of a systematic study of a significant problem. It identifies the problem, states the major assumptions, explains the significance of the undertaking, sets forth the sources for and the methods of gathering information, analyzes the data, and offers a conclusion or recommendation. The finished product evidences originality, critical and independent thinking, appropriate organization and format, high level of writing competency, and thorough documentation. Students should note that they must be advanced to candidacy before they will be permitted to form an official thesis committee and to enroll in Math 799A. In addition to the university requirements, the departmental requirements are as follows: 1. The chair of the thesis
committee must be a faculty member from the Division of Statistics in
the Department of Mathematics and Statistics. PLAN B (non-thesis option):
SPRING/FALL 2007 Plan A (thesis option) and
Plan B (non-thesis option) requirements for the Master of Science Degree
in Statistics Policies and Procedures for
the Plan B examination: Students in the Plan B option
must pass a two-part comprehensive examination. Part 1 of the exam will
cover theory and methods from core courses including Stat 670A, Stat
670B and Stat 560. In addition, students must pick two electives from
Stat 671, 672, 676, 677, 678, 679, 680A and 680B. This is a four-hour
closed-book written exam. Part 2 of the exam is a written report of
a data analysis project. Each student will be given a data set and corresponding
scientific questions. Students will have one week to complete the data
analysis and to produce a written report, not to exceed 7 pages. Collaboration
on the data analysis and report writing is not allowed. Any collaboration
will be deemed as cheating and result in a failing grade. Students should note that
they must be advanced to candidacy before they will be permitted to
take the two-part comprehensive exam. Fall 2007
Theory Exam: Faculty While coursework from other instructors may be counted towards the MS, the core faculty for the program consists of the statistics specialists within the Department. These are as follows: Barbara
Bailey, Kristen
Duncan, Juanjuan Fan,
Richard Levine, C.D. (Joey) Lin serves as advisor for the program. |
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