Statistics and Data Science M.S.

< Back to Department

Minimum Requirements for Statistics and Data Science M.S.: 30 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
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. 16
Total Credits25

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

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.

< Back to Department

Admission Requirements

Complete the following admission requirements:

  • Submit three letters of recommendation concerning the applicant’s educational background and quantitative training.
  • Submit complete transcripts for all college-level work.
  • Submit a resume.
  • Submit a written statement of goals.
  • 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.

< Back to Department

Learning Outcomes

Learning Outcomes are measurable statements that describe knowledge or skills achieved by students upon completion of the program.

Students graduating from 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