**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 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.

**Admissions and Financial Support**:

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

**Admission Requirements **

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.

**Program Requirements**

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): Fall 2017/Spring 2018**

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

Students in the Plan B option must pass a two-part comprehensive examination.

**Theory Exam:** The theory exam will cover materials from mathematical statistics and linear regression. Though the exam questions will not be marked as from specific course work, students are advised to review course materials from STAT 670AB and STAT 510 (or STAT 610 when it is introduced).

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 at 1:00 -5:00 pm on the Wednesday before fall semester classes begin each year.

**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 2017

TE registration: July 19 – August 9

**Exam date: WED., AUGUST 23, 1:00 – 5:00 PM, GMCS 301**

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

Email: *mathhelp@mail.sdsu.edu*

Subject line reads: **Fall Theory Exam****: (***insert your last name in CAPS*). In the text, Include your *full name, red id#, mailing address, phone#, and email address*. You must indicate the *number of times you have taken the exam*.

*THEORY EXAM*, FALL 2017

TE registration: July 19 – August 9

*insert your last name in CAPS*).

**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 2018**

Exam will be available online: **10:00am, Date TBA**

**DATA ANALYSIS EXAM,**

**DATA EXAM INSTRUCTIONS **

**DATA DOCUMENTATION**

**DATA FILE **

Written report is due in the Department Office, **GMCS 413**, no later than **Tuesday, TBA, 2018 by 11:00am. ** Report may be submitted any time prior to the deadline.

Candidate must be **advanced to candidacy** before they will be permitted to take a two-part comprehensive exam.

**REGISTRATION DATES: TBA**

Email: *mathhelp@mail.sdsu.edu
*Subject line reads:

**Spring Data Analysis Exam: (**In the text, Include your

*insert your last name in CAPS*).*full name, red id#, mailing address, phone#, and email address*. You must indicate the

*number of times you have taken the exam*.

**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.

**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, Richard Levine, C.D. Lin, K.J. Lui, Jorge Carlos Roman

Advisor: Dr. Jianwei Chen, 619-594-2059, GMCS 573

rev: 01/05/2017