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College of Science, Engineering and Mathematics
Department of Mathematical Sciences
(907) 474-7332
www.dms.uaf.edu
Minimum Requirements for Degree: 30
credits
Downloadable
PDF
Statistics is a collection of methods and theories
used to make decisions or estimate unknown quantities from
incomplete information. Statistical techniques are useful,
for example, in estimating plant, animal and mineral abundances; forecasting
social, political and economic trends; planning field plot
experiments in agriculture; performing clinical trials in medical research;
and maintaining quality control in industry. Employment opportunities
are excellent for statisticians in many of these areas.
The M.S. degree
program in statistics builds upon UAF’s strength
in the sciences and our setting in Alaska by introducing
a strong quantitative alternative or supplement to existing
programs. The curriculum is built around four statistics core courses
and flexibility in selection of elective courses. The core courses are
designed to blend mathematical statistics course work typical of most
M.S. programs in statistics with real applications. We believe this blending
provides a substantial improvement in the graduate’s
skills. Graduates of this program could be labeled quantitative
biologists, biometricians, quantitative geologists, geostatisticians,
or mathematical statisticians depending upon their specific
course work. In addition, this program prepares individuals for Ph.D.
level work in statistics or their area of application.
The statistics program
is administered by the Department of Mathematical Sciences.
Graduate
Program—M.S. Degree
- Complete the following admission requirement:
a. Submit three letters of recommendation concerning
the applicant’s educational background and quantitative training.
b. Submit complete transcripts for all college-level work.
c. Submit a resume.
d. Submit a written statement of goals.
e. Submit GRE scores.
f. The applicant must have completed a bachelor’s degree from
an accredited institution with a GPA of at least 3.0.
g. Must have completed the following courses or their
equivalent with a B grade or better: full calculus sequence (MATH
200, 201, 202); or students completing MATH 262 or 272
must take MATH 201 and 202 before acceptance; and a course
in linear algebra (MATH 314), at least one introductory
statistics or probability course (STAT 200, 300 or MATH
371, 408). Students lacking MATH 314 may be accepted
on probation.
- Complete the general
university requirements.
- Complete the master’s
degree requirements.
- Complete
the following statistics (core) courses:
STAT 651—Statistical Theory I 3 credits
STAT 652—Statistical Theory II 4 credits
STAT 653—Statistical Theory III—Linear Models 3
credits
STAT 654—Statistical Consulting Seminar 1 credits
STAT 698—Project 6 credits
- Complete 2 of the following courses:
STAT 461—Applied Multivariate Statistics 3 credits
STAT 602—Experimental Design 3 credits
STAT 605—Spatial Statistics 3 credits
STAT 631—Categorical Data analysis 3 credits
STAT 661—Sampling Theory 3 credits
STAT 611—Time Series 3 credits
- Complete at least 6 credits of
approved courses from an application area or courses
with substantial statistical and/or mathematical content.*
- Minimum
credits required 30
* Examples of courses for
specific areas of concentration include: Wildlife WLF 621,
625; Fisheries FISH 601, 602, 621, 622, 625; mathematics MATH 641, 660
or other 600-level MATH course.
Note: Each student must take and pass a three-part comprehensive
exam. The first part, written by the statistics faculty,
is a written exam (not a take-home exam) covering the material
in the core statistics courses. The second part is a take-home
exam covering the student’s
area of application. The last part is an oral exam covering
any material from courses the student has taken along with their project.
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