Statistics and Data Science M.S.

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Minimum Requirements for Statistics and Data Science M.S.: 30 credits

Credits
General University Requirements
Complete the graduate general university requirements.
Master’s Degree Requirements
Complete the master’s degree requirements.
Statistics and Data Science Program Requirements
Complete the following:
STAT F651Statistical Theory I3
STAT F652Statistical Theory II3
STAT F653Statistical Theory III: Linear Models3
STAT F654Statistical Consulting Seminar1
STAT F698Non-thesis Research/Project3
Complete two of the following:6
STAT F461
Applied Multivariate Statistics
STAT F602
Experimental Design
STAT F605
Spatial Statistics
STAT F611
Time Series
STAT F621
Nonparametric Statistics and Machine Learning
STAT F631
Categorical Data Analysis
STAT F641
Bayesian Statistics
STAT F661
Sampling Theory
STAT F671
Statistical Computing
Complete at least 6 credits of approved courses from an application area or courses with substantial statistical and/or mathematical content. 16
Complete 5 additional credits of STAT courses at the 600 level 25
Total Credits30
1

Students working in subject areas involving significant non-English literature will be expected to read the appropriate foreign language. 

2

STAT or MATH courses at the 400 level or other 400- or 600-level courses with significant statistical content may be used to meet this requirement if approved by the committee chair.

Note: Each student must take and pass a two-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 an oral exam covering follow-up questions from the written exam as well as any material from courses the student has taken along with their project.

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Admission Requirements

Complete the following general university admission requirements for graduate programs.

  1. Submit an application for admission
  2. Submit official transcripts
  3. Official test results: GRE scores are not required for this program, but may be considered if submitted
  4. Submit resume/curriculum vitae
  5. Submit statement of academic goals
  6. Submit 3 letters of recommendation

International Students: Please consult UAF’s most recent application requirements regarding English language proficiency.

Additional program admission requirements and information

  • The three letters of recommendation should address the applicant’s educational background, mathematical ability, and research and teaching potential
  • The applicant must have completed a bachelor’s degree from an accredited institution with a GPA of at least 3.0.
  • Must have completed the following courses or their equivalent with a B grade or better: full calculus sequence (Calculus I (MATH F251X), Calculus II (MATH F252X), Calculus III (MATH F253X)); note that students substituting Essential Calculus with Applications in the Life Sciences (MATH F230X) for Calculus I must take MATH F252X and MATH F253X before acceptance; a course in linear algebra (MATH F314); at least one introductory statistics or probability course (STAT F200X, STAT F300 or MATH F371, MATH F408); and Regression and Analysis of Variance (STAT F401). Students lacking MATH F314 or STAT F401 may be accepted on probation.

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Roadmaps

Roadmaps provide suggested semester-by-semester study plans for programs and are based on full-time enrollment, unless otherwise specified.

  • This roadmap should be used in conjunction with regular academic advising sessions. All students are encouraged to meet with their advisor or mentor each semester.
  • Certain courses and milestones must be completed in the specified semester to ensure on-time graduation.
  • Transfer credits may affect the roadmap.
  • Requirements, course availability, and sequencing may change.
  • Courses marked with (*) are recommended.
First Year
FallCreditsSpringCredits
STAT F651203STAT F652203
Program Elective3Program Elective3
Program Elective3Program Elective3
 9 9
Second Year
FallCreditsSpringCredits
STAT F698203STAT F653203
Program Elective3STAT F654201
 Program Elective2
 Comprehensive Exam and Project Defense
 6 6
Total Credits 30

Footnote Definitions

General Education Requirements Degree Requirements Program & Other Requirements
1--Communication 8--Alaska Native-themed 20--Program Requirement
2--Arts 9--Communication 21--Capstone Requirement
3--Humanities 10--Computation 22--Concentration Course
4--Social Sciences 11--Ethics 23--General Elective
5--Additional Arts, Humanities or Social Sciences 12--Humanities 24--Minor Course
6--Mathematics 13--Human Relations 25--Upper Division
7--Natural Sciences 14--Humanities or Social Sciences 26--Program Elective
15--Library & Information Research
16--Mathematics
17--Natural Sciences
18--Other
19--Social Sciences

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Learning Outcomes

Learning Outcomes are specific, measurable statements that define the knowledge and skills students will gain by the end of the program.

Graduates of this program will be able to:

  • Master a wide variety of statistical tests, procedures, and sampling methodologies, and will be able to design experiments and analyze data using software including R
  • Understand and be able to use statistical theory
  • Have consulting skills
  • Display effective written communication skills