Statistics and Data Science M.S.
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.
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 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|
|Nonparametric Statistics and Machine Learning|
|Categorical Data Analysis|
|Complete at least 6 credits of approved courses from an application area or courses with substantial statistical and/or mathematical content. 1||6|
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.