M.S. in Statistics | Department of Mathematics & Statistics

M.S. Program in Statistics and Data Science

Introduction

The M.S. in Statistics and Data Science is administered by the Department of Mathematics and Statistics located in the Chapman Building on the University of ��Ϻ��Ƶ Fairbanks (��Ϻ��Ƶ) campus. ��Ϻ��Ƶ is reputed for its strength in the natural sciences, especially in those areas touching on the arctic environment. Many institutes and departments use statistical methodology in their research, among them the Institute of Arctic Biology, the Institute of Marine Sciences, the Geophysical Institute, the Department of Biology and Wildlife and the School of Fisheries and Ocean Sciences. The MS in Statistics and Data Science program builds upon ��Ϻ��Ƶ's strength in the natural sciences by introducing a strong quantitative alternative to existing programs. Graduates of this program could be labeled quantitative biologists, biometricians, quantitative geologists, geostatisticians, or mathematical statisticians depending upon their specific coursework. In addition, this program prepares individuals for Ph.D. level work in statistics or in their area of application. Students pursuing a Ph.D. in another field can pursue the M.S. program in statistics and data science simultaneously. The program is intended to take two academic years to complete for individuals with the appropriate prerequisite courses and does not interfere with summer field work in the area of specialization.

Qualifications of Graduates

Graduates of the program will be qualified to do the following:

Plan and implement high quality natural resource assessment projects including the full range of statistical objectives from sample or experimental design to data processing and interpretation of results.
Qualify for positions with the State of ��Ϻ��Ƶ Department of Fish and Game (Click link to see WorkPlace ��Ϻ��Ƶ job specifications).
Teach courses with high statistical content including those in wildlife, biology, fisheries, geology, or natural resource management.
Pursue a Ph.D. in Statistics or a field of application

Previous students have become biometricians for the ��Ϻ��Ƶ Department of Fish and Game, statisticians in university institutional research groups and the ��Ϻ��Ƶ Department of Health and Social Services, and gone on to complete Ph.D. programs is statistics or other fields.

The Program

The program is built around three core courses (Statistical Theory I, II and III labeled STAT 651, 652, and 653) and a collection of elective courses that enroll students from a variety of disciplines. The core courses are designed to blend the two semesters of mathematical statistics typical of an M.S. program in statistics with real applications. Such a blending requires a third semester but provides a substantial improvement in the graduate's skills, see course descriptions below.

Sources of Funding.

The Department of Mathematical Sciences offers several teaching assistant positions, consisting of a stipend (scroll down on this link to see stipend amounts) and tuition waiver.

Applications are evaluated when complete. To be competitive for financial support, applications should be complete at least six months before intended admission. Firm application deadlines are June 1 for fall admission and October 15 for spring (March 1 and Sept 1 for international applicants).

The department also works with other units on campus to arrange research assistantships (RA); we typically have several students on RAs. Some students already enrolled in other programs are externally supported.

Thesis/Project Options and Examinations

The program is typically completed with a project. Two presentations to faculty and fellow students are associated with the project; first, a proposal presentation laying out the plan of work; second, a project completion presentation. If a thesis is written rather than a project, it must follow the required ��Ϻ��Ƶ thesis format requirements (see ��Ϻ��Ƶ graduate school). The project must be summarized in the required format for a specific journal (e.g., The Journal of Agricultural, Biological, and Environmental Statistics, The Journal of Wildlife Managment, or Canadian Journal of Fisheries) and the final project must be made available in a pdf format for library archives.

All students in the program must pass the following examinations:

A written comprehensive examination covering both applications and theory related to the core statistics courses (STAT 651-653),
Demonstrated ability to program in a common programming language and/or a major statistical computing package (commonly included in the project or thesis),
An oral examination covering coursework, thesis, and/or project.

Student Admission Qualifications

To be admitted to the program, an applicant must complete the general and submit the following:

Three letters of recommendation concerning the applicants educational background specifically addressing mathematics and statistics background;
Statement of Interest;
Resume;
General GRE scores are not required at this time, but will be looked at if you submit them;
Complete transcripts for all college level coursework; and
must have completed at least a bachelors degree from an accredited institution including the completion of the following courses or their equivalent with a grade of B or better:

Guidance for New Graduate Students

Shortly after starting your program you should download and read ��Ϻ��Ƶ's Graduate School Manual (scroll down to download manual)

During your first semester you should meet all the statistics faculty and get to know their research interests, then form a graduate advisory committee consisting of at least three statistics faculty members and identify one of the statistics faculty members to chair the committee as your Advisor. You may select one advisory committee member from another ��Ϻ��Ƶ department or from a different institution. Complete and submit ��Ϻ��Ƶ's Graduate Advisory Committee form. Copies should be kept by the department administrative assistant in your file, by your advisor and by you. You may change advisors later in your program if your project work is related to someone other than your original advisor.

You should meet with your advisor to draft a graduate study plan, the list of courses you intend to take, any deficiencies that may need to be completed, and when you expect to complete your program requirements. Once you have a draft graduate study plan you should meet with your committee to see if any revisions are suggested.

You may be asked to take courses to remedy deficiencies identified by the advisory committee. The advisory committee can also decide, in accordance with university policy, whether specific transfer graduate courses may be allowed as part of the program (at most 9 credits).

Once the graduate study plan is approved by your committee, the signed original should go to the graduate school. Copies should be kept by the department administrative assistant in your file, by your advisor and by you.

You should enroll in at least 9 credits per semester; these courses should be those on your graduate study plan. First semester students should enroll in STAT 651 and other courses suggested by a statistics faculty member as appropriate for your background. In your third and fourth semesters as a graduate student you should enroll in 3 credits of research each semester. Prior to or early in the third semester you should identify a research project and begin work on it with your advisor, discuss it with your committee, revising it as necessary, and present your project proposal at the statistics seminar. During your fourth semester you should complete the written project in the required format of a specific journal (as agreed upon with your committee) and give an oral presentation of your project, using Power Point, at the statistics seminar. You should also produce a pdf copy of your project and send it to your advisor for the library archives. In addition, in your fourth semester you should enroll in STAT 654, Statistical Consulting.

You should complete and submit an advancement to candidacy form at least one semester before you intend to graduate. Fill out the application for graduation at the beginning of the semester in which you intend to graduate.

During your fourth semester, typically mid April, you will take the written comprehensive exam. This exam is a four hour written exam covering the content of STAT 651, 652, and 653. This exam is graded pass or fail. During the week or two after the written exam is graded you will present your project to the statistics seminar then your committee will conduct an oral examination (only if you have passed the written exams). The content of the oral exam may include questions concerning your project and questions concerning the written exam, especially any areas where your answers may have been incorrect or incomplete. Students are allowed two attempts to pass the written exam. Second attempts are typically at least 6 months after a first failed attempt.

Program Requirements

The student must satisfy the general university requirements, in particular, complete a minimum of 30 semester credits of which at least 24 credits must be at the 600 level (including those earned for thesis or research projects which are limited to a maximum of 12 credits).

The program requires the following specific requirements:

I. Complete the M.S. Core Statistics Courses:
STAT651	Statistical Theory I	3 credits
STAT 652	Statistical Theory II	4 credits
STAT 653	Statistical Theory III	3 credits
STAT 654	Consulting Seminar	1 credit
STAT 698	Research/Project	6 credits
	17 credits subtotal
III. The following are examples of courses for specific areas of concentration:
Wildlife*	WLF 625 and WLF 695; STAT 402 recommended
Fisheries*	FISH 601 and FISH 602; STAT 402 recommended
	OR
	FISH 621 and FISH 622; STAT 402 recommended
Mathematical Statistics	MATH 641 and MATH 660; many other possibilities
Geology	GEOS 430 and GE/MIN 635
Econometrics	ECON 626 and ECON 636

As ��Ϻ��Ƶ has strong graduate programs in Fisheries, Marine Science, Wildlife, Biology, Geophysics, among others, there are many available graduate-level applications courses. Please check out the links at the bottom of this document for more information. * - Courses useful for State of ��Ϻ��Ƶ Biometrician qualification.

IV) Complete approved elective courses, 8 credit subtotal

30 credits TOTAL

Statistics Course Descriptions

COURSE SCHEDULE OF THE STATISTICS PROGRAM
COURSE		Fall even year	Spring odd year	Fall odd year	Spring even year
STAT200	Introduction to Statistics	200	200	200	200
STAT300	Statistics		300	300	300
STAT401	Regression and ANOVA	401	401	401	401
STAT402	Scientific Sampling	402		402
STAT461	Multivariate Statistics				461
STAT480	Topics in Statistics	ADW	ADW	ADW	ADW
STAT602	Design of Experiments	602
STAT605	Spatial Statistics				605
STAT611	Time Series Analysis		611
STAT621	Distribution-Free Statistics				621
STAT631	Categorical Data Analysis			631
STAT640	Exploratory Data Analysis (Juneau)	ADW	ADW	ADW	ADW
STAT651	Statistical Theory I	651		651
STAT652	Statistical Theory II		652
STAT653	Statistical Theory III				653
STAT654	Consulting Seminar (1 cr)		654
STAT661	Sampling Theory	ADW	ADW	ADW	ADW
MATH371	Probability	371
MATH408	Mathematical Statistics		408
STAT498	Undergraduate Research	ADW	ADW	ADW	ADW
STAT692	Statistics Seminar	692	692	692	692
STAT698	Graduate Research	ADW	ADW	ADW	ADW

NOTES: STAT480 "Topics in Statistics" may be retaken for credit as long as the topic varies. Past topics have included:

Introduction to SAS
Introduction to S-plus
Logistic Regression
Nonlinear Regression
Bootstrap and Jackknife
Survival Analysis

Qualifying for State of ��Ϻ��Ƶ Biometrician Positions

The ��Ϻ��Ƶ Department of Fish and Game (ADF&G) currently has more than 20 full-time biometricians. Historically, ADF&G has had difficulty recruiting biometricians and commonly recruits outside ��Ϻ��Ƶ because of a lack of adequately trained individuals within the state. ADF&G commonly has more than one open position each year. The Commissioner of ADF&G wrote to ��Ϻ��Ƶ in 1995 suggesting that the university offer additional biometrics coursework and potentially a degree program in this area.

The minimum qualifications for biometrician positions include a masters degree in statistics, biometrics, or in one of the biological sciences with 18 semester hours in graduate- level biometrics or statistics courses. The statistics MS program will well qualify graduates for state biometrician positions. Our program was developed in close consultation with the ��Ϻ��Ƶ Department of Fish and Game. Many of our graduates currently work in ADF&G Biometrician positions.

EXAMPLE TWO-YEAR PROGRAM

Fall 1 : Statistical Theory I (STAT651), Experimental Design (STAT602), applied elective (3 cr.).

Spring 1 : Statistical Theory II (STAT652), Time Series Analysis (STAT611), applied elective (3 cr.).

Fall 2 : Categorical Data Analysis (STAT631), Project (3 cr., STAT698), applied elective (3 cr.).

Spring 2: Spatial Statistics (STAT605), Statistical Consulting Seminar (STAT654), Statistical Theory III (STAT653) , Project (3 cr., STAT698).

TOTAL GRADUATE CREDITS: 30 to 36 cr.

Applications

Applicants may apply at any time up to the beginning of their first semester. However, if an applicant is interested in obtaining a teaching assistantship, they should apply before March 1.

Links to other University of ��Ϻ��Ƶ Programs

Also of interest:

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Department of Mathematics & Statistics