Advisor: Dr. Barbara Bailey, 619-594-4170, GMCS 513

**Admissions and Financial Support**:

Please see the Overview and Admissions page for information about applying to the program and for information about teaching assistantships.

General Requirement:

General requirements for unclassified standing, classified standing, and advancement to candidacy are described in the Graduate Bulletin. Students should file an official Program of Study (POS) shortly after the beginning of the final year of study. An official POS must be filed prior to taking the last nine units of graduate course work as well as the last qualifying exam.

**Description **

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/biostatistician 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/Biostatistics. 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.

**Program Requirements**

The student must complete a minimum of 31 units of coursework. Prerequisite courses such as Statistics 551 AB cannot be used as part of the Program of study (POS). Your proposed POS must be approved by the graduate adviser in statistics.

Refer to Graduate Bulletin for current courses and program requirements.

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 masterâ€™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:

- The chair of the thesis committee must be a faculty member from the Division of Statistics in the Department of Mathematics and Statistics.
- 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).
- 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 2019/Fall 2019/**

**Policies and Procedures for the Plan B examination:**

Students in the Plan B option must pass a two-part comprehensive examination. Y*ou must be Advanced to Candidacy to register for a Statistics master exam. *If you are not Advanced to Candidacy, do not register for master exams. If you do, your registration will be cancelled*.*

**Theory Exam:** The theory exam will cover materials from mathematical statistics. Though the exam questions will not be marked as from specific course work, students are advised to review course materials from STAT 670AB.

The exam will be closed book and closed notes. Students are allowed three 2-sided formula sheets of standard letter size (11 inches by 8.5 inches) and if typed, no smaller than 12 point font. Only formulas may be put on the cheat-sheets (problems with solutions are not allowed). The cheat-sheets must be handed in together with the exam. Necessary critical values or statistical tables will be provided for the exam. A hand calculator can be brought for basic arithmetic operations. The use of a cell phone, smart watch, or any other device that can access the internet during the exam, is strictly forbidden.

The theory exam will be given on a Wednesday before fall semester classes begin each year. See below for the schedule.

**Data Analysis Exam:** The data analysis exam consists of 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 produce a written report following the instructions provided at the time of the exam. Collaboration on the data analysis and report writing is not allowed. Any collaboration will be deemed as cheating and result in a failing grade.

The instructions and details of the data analysis exam will be available online at 10am the Tuesday of the week before spring semester classes begin each year. A hard copy of the report must be submitted to the Dept Office in GMCS 413 by noon the following Tuesday. Electronic submissions are not allowed.

*THEORY EXAM***, FALL 2020**

Registration: TBA**Exam date/location: TBA**

Be sure to bring your personal hand calculator for the Theory Exam.

To register, email: *mathhelp@sdsu.edu*Subject line reads:

**Fall Theory Exam: (**

*insert your LAST name in CAPS*).In the email text, include:*Your full name (LAST name in CAPS/ first name)RedID#Mailing addressPhone#Number of times taking this exam:Have you advanced to candidacy:*

**Cancellations** should be done before deadlines noted above 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*.

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, then take the form to the Graduate Division Office.

*DATA ANALYSIS EXAM, ***SPRING 2020**Exam links below will be available online at

**10:00am, TUESDAY, JANUARY 14**

**DATA INSTRUCTIONS **(pending)**DATA DOCUMENTATION (pending)****DATA FILE** *Please use CSV file NOT pdf. **REGIONS MAP** (pending)

Written report is due in the Department Office, GMCS 413,

no later than **TUESDAY, JANUARY 21 by 11:00 am.**** **

Report may be submitted any time prior to the deadline.

Candidate must be **advanced to candidacy** before taking a two-part comprehensive exam.

**REGISTRATION DATES: Monday, NOVEMBER 4 – Friday, DECEMBER 6**

No late registration after the deadline, December 6.

To register, email: *mathhelp@sdsu.edu*Subject line reads:

**Spring Data Analysis Exam: (**

*insert your last name in CAPS*).In the email text, include:*Your full name (last name in CAPS /first name)RedID#Mailing addressPhone#Number of times taking this exam:Advanced to Candidacy (yes/no):*

**Cancellations** must be done before deadlines noted above or a failing grade will be given. Each candidate will be given a random code number to be used on the exams. Students may take the two parts of the exam in any order. The Data Analysis Exam *may be taken by a student at most two times*. For discussion, contact your advisor.

If you have filed for Advancement to Candidacy, and successfully passed the two part comprehensive exams, a Report of Final Examination form is required for graduation. This form is submitted online, and must be initiated by your Graduate Advisor. Please contact your Graduate Advisor if you would like to submit this form.

**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, Jianwei Chen, Juanjuan Fan/a>, Richard Levine, C.D.Lin , K.J. Lui, Jorge Carlos Roman

Rev: 10/22/19