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MS Statistics Curriculum

 

This 2-year degree can be earned by one of the three plans

Plan I   30 hours with MS thesis (max. 6 hours of STAT 5000)
Plan II   32 hours with MS report (max. 2 hours of STAT 5000)
Plan III   36 hours and pass a comprehensive exam (PhD Preliminary Exam)

 

The degree is composed of 4 required theory courses, 2 required applied courses in experimental data analysis and 2 required applied courses in analytics. Courses within each sequence below must be taken in the order listed, but sequences can be taken concurrently. See the course catalog for course descriptions.  

 

Required Theory Sequence

  Course Semester Offered
  STAT 5123 Probability Fall
  STAT 5223 Inference Spring
  STAT 5323 Theory of Linear Models I Fall
  STAT 5333 Theory of Linear Model II Spring

 

Required Experimental Data Analysis Sequence

  Course Semester Offered
  STAT 5023 Statistics For Experimenters II          Fall, Spring
  STAT 5303 Experimental Design Fall

 

Required Analytics Sequence

  Course Semester Offered
  STAT 5193 SAS and R Programming Fall, Spring
  STAT 5063 Statistical Machine Learning with R               Spring

 

Statistics Electives

STAT 5013 Statistics for Experimenters I, STAT 5253 Mathematical Statistics I, and STAT 5263 Mathematical Statistics II cannot be used to satisfy the requirements.

 

Students in Plan II can choose up to 2 non-STAT electives with committee approval or take any STAT courses excluding those above. 

  STAT Electives Semester Offered
  STAT 5033 Nonparametric Statistics Fall
  STAT 5043 Sample Survey Design Summer
  STAT 5053 Time Series Analysis  Fall
  STAT 5073 Categorical Data Analysis                       Spring
  STAT 5213 Bayesian Analysis Spring
  STAT 5543 Applied Regression Analysis Fall, Spring

 

Math Electives

Students in Plan III can choose up to 3 of the following MATH electives.  Students interested in pursuing a PhD in Statistics are encouraged to take 3 MATH electives. 

  MATH Electives Semester Offered
  MATH 5073 Foundations of Analysis Spring
  MATH 5043 Advanced Calculus I Fall
  MATH 5053 Advanced Calculus II Spring
  MATH 5143 Real Analysis Fall

 

Creative Component: Students in Plan III are required to pass the comprehensive exam covering STAT 5123 Probability, STAT 5223 Inference, STAT 5323 Linear Model Theory 1 and STAT 5303 Experimental Design at the MS or PhD level.  Students in Plans I and II are required to defend an MS Thesis or Masters Report, respectively.

 

Plan of Study: By the end of the second semester of study, all students must find an advisor, committee members and submit a plan of study at http://planofstudy.okstate.edu. A sample plan is below.

 

Course Sequence Fall Spring Fall Spring
Theory STAT 5123 STAT 5223 STAT 5323 STAT 5333
Experimental Data Analysis   STAT 5023 STAT 5303  
Analytics STAT 5193     STAT 5063
Electives X X X  
MS Research       STAT 5000

 

Admissions: It is necessary to have an undergraduate degree, not necessarily in mathematics or statistics, to begin a program of study towards the degree.  It is expected that some students will be admitted to the program who have a bachelor's degree or master’s degree in some other field.  Admitted students should have coursework that, at a minimum, is equivalent to the following courses at Oklahoma State University (see http://catalog.okstate.edu/courses/math/ and http://catalog.okstate.edu/courses/stat/ for descriptions):

 

MATH 2144 Calculus I

MATH 2153 Calculus II

MATH 2163 Calculus III

MATH 3013 Linear Algebra

STAT 4013 Statistical Methods I

 

It is possible to be admitted with some background deficiencies, but they must be remedied in the first year of the program. 

 

Transcripts, GRE scores, 2 letters of reference and CV are required.  English Proficiency  scores, such as TOEFL scores, are required for international applicants.

 

Assistantships: Teaching assistantships are available and awarded on a competitive basis. International applicants with a degree from the US may not be required to submit English Proficiency scores for admission but are required to submit evidence of English Proficiency to be eligible for a teaching assistantship. 

 

Application Due Dates by Entry Semester

Due date  Fall Entry Spring Entry Summer Entry
Domestic Applicant July 1 November 1 April 1
International Applicant May 1 October 1 February 1
For Full Assistantship Consideration February 15 October 1  

 

Apply Now  

 

 

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