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.
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. These positions are half time during the academic year, full-time in the summer, and also subject to availability.
The Department maintains a web page with further information on admission and financial support.
The student must complete a minimum of 31 units of coursework as described below. Upon entry to the program, the student will be assigned to a graduate advisor in statistics. Thereafter, the adviser will meet with the student each semester and discuss their academic program. A program of study must be approved by the graduate adviser in statistics.
1. Complete Statistics 510, 670A, 670B with no grade less than B in each course. These are core statistics courses.
2. Complete nine units of courses in statistics and biostatistics, selected from the following with the approval of the graduate adviser in statistics: Statistics 672, 673, 676, 677, 678, 679, 680A,680B, 696, 700, 701, 702, 795.
3. Complete three additional units of graduate level or approved 500-level statistics courses, not including Statistics 799A.
4. Complete three additional units of graduate level or approved 500-level courses offered by the Department of Mathematics and Statistics, not including Statistics 799A.
5. Complete three units of approved electives.
6. Complete one unit of Statistics 720.
7. The thesis option (Plan A) requires approval of the graduate adviser and the statistics division faculty member who will chair the thesis committee. Students who choose Plan A must include Statistics799A in the 31-unit program and are required to pass a final oral examination on the thesis, open to the public.
8. In other cases, the exam option (Plan B) will be followed. Students who choose Plan B are required to complete three additional units of 600- and 700-numbered statistics courses, not including Statistics 799A, and pass a two-part comprehensive written examination.
Refer to Graduate Bulletin for current courses and curricula.
Plan A (thesis option) and Plan B (non-thesis option) requirements for the Master of Science Degree in Statistics
Thesis Requirements (PLAN A)
General requirements for the master’s thesis are as described in the graduate 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 STAT 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.
2. One of the other two members of the thesis committee must be a faculty member from outside the Statistics Division. For students pursuing the Concentration in Biostatistics, the outside member must be a faculty member from a field of application (e.g., biology, public health).
3. The student must pass a public oral defense of the thesis.
Please view complete details regarding your Thesis Committee form.
PLAN B (Exam/non-thesis option): Spring/Fall 2013
Policies and Procedures for the Plan B examination:
Students in the Plan B option must pass a two-part comprehensive examination.
- Part 1 is the theory exam and students will choose any 10 questions out of the 14 to answer during the exam. The 10 questions that are chosen need to be marked clearly in the exam as well as on the exam envelope, otherwise the first 10 questions of the exam will be graded, regardless of whether any of the questions 1 through 10 are attempted by the student or not. The exam questions will not be marked as from specific course work, but they will be about statistical theory appropriate for a Master’s level comprehensive exam. Students are advised to review course materials from Stat 551AB, Stat 670AB, Stat 680AB, Stat 510, Stat 350AB, and other required and elective courses. This is a four hour closed book exam. Relevant tables will be provided. You are allowed 3 two-sided sheets of formulas. The sheets must be of standard letter size (11 inches by 8.5 inches) and if typed, no smaller than 12 point font. You may put only formulas on the cheat-sheets, no problems with solutions. You are required to hand in your cheat-sheets together with your 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.
Theory Exam (part 1)
will be given at 1:00-5:00pm on Wednesday before fall semester classes begin each year.
TE signups: June 15-July 1
Data Analysis Exam (part 2)
will be available online at 10:00 am on Monday, January 6, 2014.
DA signups: November 14-29.
Written report is due in the Department Office, GMCS 413, on the following Monday by 11:00am.
No registration will be accepted after the deadline.
Students should note that they must be advanced to candidacy before they will be permitted to take a two-part comprehensive exam.
To register for exams, email: email@example.com
Type in subject line: Fall Theory Exam, or Spring Data Analysis Exam.
Include your name, red id#, mailing address, phone#, and email address.
Indicate two electives when applying for the Theory Exam.
Cancellations should be done before these deadlines as well, or a failing grade will be given. At the time of the exam, each student will be given a random ID number to be used on the exams.
Students may take the two parts of the exam in any order. Each part of the exam may be taken by a student at most two times.
Spring 2014 Data Analysis Exam
Registration dates: November 13-30
Exam available online: Monday, January 6, 2014, 10:00AM
Data Description and Instructions
Organization of Data Analysis Report
Note: Be sure to refresh your webpage if links are not connected.
Fall 2013 Theory Exam
Registration dates: June 15 to July 1
Exam date: Wednesday, August 21, 1:00-5:00pm, Room GMCS 324
Be sure to bring your personal hand calculator for the Theory Exam.
If you have filed for Advancement to Candidacy, and successfully passed the two part comprehensive exams, please download and complete a copy of the Report of Final Examinations form. Have your Academic Advisor sign the form, and then take the form to the Graduate Division Office.
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:
Advisor: Dr. Barbara Bailey, firstname.lastname@example.org, GMCS 513