Statistics and Data Science M.S.

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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 (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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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.