University of Alaska Fairbanks

M.S. Program in Statistics

Department of Mathematics and Statistics



o        Introduction

o        Qualifications of Graduates

o        The Program

o        Sources of Funding

o        Thesis/Project Options and Examinations

o        Student Admission Qualifications

o        Program Requirements

o        Course Timing

o        Qualifying for the State of Alaska Biometrician Register

      o        Guidance for New Graduate Students

o        Faculty

o        Contact

o        Application

o        Links


Revised  Fall 2005


 

Introduction


The M.S. in Statistics is administered by the Department of Mathematics and Statistics located in the Chapman Building on the University of Alaska Fairbanks (UAF) campus.  UAF 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 program builds upon UAF’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 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.

 Top of the Document


Qualifications of Graduates

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

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

Top of the Document


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.

Top of the Document


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.  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.

 Top of the Document


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 UAF thesis format requirements (see UAF 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:

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

Top of the Document


Student Admission Qualifications

To be admitted to the program, an applicant must complete the general UAF procedures for admission into the graduate program and submit the following:

  1. Three letters of recommendation concerning the applicants educational background specifically addressing mathematics and statistics background;
  2. Complete transcripts for all college level coursework; and
  3. 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:

Top of the Document


Guidance for New Graduate Students

Shortly after starting your program you should download and read UAF'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 UAF department or from a different institution.  Complete and submit UAF's Graduate Advisory Committee form (scroll down to download the 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 (scroll down to download this form), 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 and an 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.

Top of the Document


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

 


 

II. Complete at least 6 Credits of Statistics Courses from the following list:

STAT461

Applied Multivariate Statistics

3 credits

STAT 602

Experimental Design

3 credits

STAT 631

Categorical Data Analysis

3 credits

STAT 661

Sampling Theory

3 credits

STAT 605

Spatial Statistics

3 credits

STAT 611

Time Series

3 credits

 

6 credits subtotal

 

Complete at least 6 Credits of approved courses from an application area of specialization or courses with substantial statistical and/or mathematical content.

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 UAF 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 Alaska Biometrician qualification.

IV) Complete approved elective courses, 8 credit subtotal
30 credits TOTAL

·        Statistics Graduate Course Descriptions

·        Statistics Undergraduate Course Descriptions

·        Current Semester Course Offerings

Top of the Document


 

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:

Top of the Document


Qualifying for State of Alaska Biometrician Positions

The Alaska Department of Fish and Game (ADF&G) currently has more than 30 full-time biometricians. Historically, ADF&G has had difficulty recruiting biometricians and commonly recruits outside Alaska 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 UAF 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 Alaska Department of Fish and Game.  Many of our graduates currently work in ADF&G Biometrician positions.

Top of the Document


Faculty

Department of Mathematics and Statistics, Statistics Faculty

 

Dana Thomas, Ph.D. Professor and Department Chair. At UAF since 1981. Chair of the Dept. of Mathematical Sciences.  Oregon State University '82 Ph.D.  Specializes in Experimental Design, Simultaneous Inference,  Design and Analysis of Resource Selection Studies.  http://www.uafcs.alaska.edu/~thomas

Ron Barry, Ph.D. Associate Professor. At UAF since 1991.  University of California, Irvine '91, Ph.D.  Specializes in Experimental Design and Spatial Statistics.  http://www.uafcs.alaska.edu/~barry


Julie McIntyre, Ph.D. Assistant Professor. At UAF since January 2006.  North Carolina State University  '03, Ph.D. 



 All of the faculty members regularly publish peer-reviewed articles in statistics.  As part of their workload, they also regularly offer consulting services to graduate students and researchers at UAF, especially those studying wildlife biology and fisheries.  They maintain close ties to biometricians in State and Federal Agencies, through their leadership in the Alaska Chapter of the American Statistical Association and through extensive research collaboration with biometricans and researchers.

 

Retired Faculty


Pham Quang, Ph.D. Professor Emeritas. At UAF since 1985.  University of California, Berkeley '74 Ph.D.  Specializes in Theoretical Statistics and Sampling Designs (especially as applied to animal abundance estimation).

Affilite Faculty

Terrance Quinn II, Ph.D. Professor, School of Fisheries and Ocean Science (Juneau)

 Top of the Document


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.

 


Contact

Ronald Barry, Department of Mathematical Science, University of Alaska Fairbanks, Fairbanks, AK 99775-6660. Phone: (907) 474-7226, Fax: (907)-474-5394, e-mail: ffrpb@uaf.edu

 Top of the Document


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.

·        General Information for Prospective Students

·        Admission to UAF graduate programs

·        Applications for admission

 

 

Top of the Document


Links to other University of Alaska programs

 

Also of interest:

For more information, feel free to contact Ronald Barry.

Department of Mathematics and Statistics
University of Alaska Fairbanks
P.O. Box 756660
Fairbanks, Alaska 99775-6660
ffrpb@uaf.edu
(907)-474-7226

Revised:  December 20, 2005

Top of the Document

doc info