Statistics and Data Science M.S.
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 F651 | Statistical Theory I | 3 |
STAT F652 | Statistical Theory II | 3 |
STAT F653 | Statistical Theory III: Linear Models | 3 |
STAT F654 | Statistical Consulting Seminar | 1 |
STAT F698 | Non-thesis Research/Project | 3 |
Complete two of the following: | 6 | |
Applied Multivariate Statistics | ||
Experimental Design | ||
Spatial Statistics | ||
Time Series | ||
Nonparametric Statistics and Machine Learning | ||
Categorical Data Analysis | ||
Bayesian Statistics | ||
Sampling Theory | ||
Statistical Computing | ||
Complete at least 6 credits of approved courses from an application area or courses with substantial statistical and/or mathematical content. 1 | 6 | |
Complete 5 additional credits of STAT courses at the 600 level 2 | 5 | |
Total Credits | 30 |
- 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.
Admission Requirements
Complete the following general university admission requirements for graduate programs.
- Submit an application for admission
- Submit official transcripts
- Official test results: GRE scores are not required for this program, but may be considered if submitted
- Submit resume/curriculum vitae
- Submit statement of academic goals
- 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.
Roadmaps
First Year | |||
---|---|---|---|
Fall | Credits | Spring | Credits |
STAT F65120 | 3 | STAT F65220 | 3 |
Program Elective | 3 | Program Elective | 3 |
Program Elective | 3 | Program Elective | 3 |
9 | 9 | ||
Second Year | |||
Fall | Credits | Spring | Credits |
STAT F69820 | 3 | STAT F65320 | 3 |
Program Elective | 3 | STAT F65420 | 1 |
Program Elective | 2 | ||
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 |
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