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MS Applied Statistics Curriculum

 

This degree requires 32 hours of coursework. It consists of two courses in analytics, two courses in experimental data analysis, two courses in applied mathematical statistics, one course in computer programming with SAS and R, a creative component capstone course and three electives.  Courses are offered online annually.  Sequences of required courses below can be taken in any order or concurrently. See the course catalog for course descriptions.  

 

 

  Analytics Courses Semester Offered Online
  STAT 5543 Applied Regression Analysis Fall
  STAT 5063 Statistical Machine Learning with R Spring

 

  Experimental Data Analysis Semester Offered Online
  STAT 5023 Statistics For Experimenters II          Spring
  STAT 5303 Experimental Design Fall

 

  Mathematical Statistics Semester Offered Online
  STAT 5253 Mathematical Statistics I Fall
  STAT 5263 Mathematical Statistics II                    Spring

 

  Computer Programming Semester Offered Online
  STAT 5193 SAS and R Programming                     Fall

 

Creative Component: The creative component course STAT 5002 must be taken in the final summer of study.  The goals are to provide students with guided practical experience in analyzing data, and to fine tune their professional writing and presentation skills through the rigorous analysis of a data set.  In the first part of the course, students will describe a data set or research project of interest, identify research objectives, identify potential solutions and propose a plan for assessing solutions.  At the end of the course students will present findings to peers and submit a report.

 

  Creative Component Semester Offered Online
  STAT 5002 Applied Master's Creative Component Summer

 

Electives: Three 3-hour 5000 level or higher courses (excluding STAT 5013) must be taken to satisfy the 32-credit hour requirements.  Any STAT course number 5033 or higher can be used as an elective.  One or two non-STAT courses may be used as electives with committee approval. Some commonly offered STAT electives are below.  

 

  Electives offered online Semester Offered Online
  STAT 5033 Nonparametric Statistics Fall
  STAT 5043 Sample Survey Design Summer
  STAT 5053 Time Series Analysis  Fall
  STAT 5073 Categorical Data Analysis                       Spring

 

Plan of Study: Prior to enrollment in the 17th credit hour, all students must chose an advisor, committee members, and a plan of study at http://planofstudy.okstate.edu in consultation with the Graduate Coordinator.  The instructor of record for STAT 5002 serves as the pre-approved advisor and chair of their graduate committee, and the Graduate Coordinator can provide pre-approved committee members.  Some sample plans are below.

 

Sample: 2-year Plan of Study

Course Sequence Fall Spring Fall Spring Summer
Analytics STAT 5543 STAT 5063      
Mathematical Statistics STAT 5253 STAT 5263      
Experimental Data Analysis   STAT 5023 STAT 5303    
Programming STAT 5193        
Electives     STAT 5033
STAT 5053
STAT 5073  
Capstone         STAT  5002

 

Sample: 2.5-year Plan of Study

Course Sequence Fall Spring Fall Spring Summer Fall
Analytics     STAT 5543 STAT 5063    
Mathematical Statistics STAT 5253 STAT 5263        
Experimental Data Analysis   STAT 5023 STAT 5303      
Programming STAT 5193          
Electives    

 

STAT 5073   STAT 5033
STAT 5053
Capstone         STAT  5002  

 

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

STAT 4013 Statistical Methods I

 

Transcripts, GRE scores, 2 letters of reference and CV are required.  English Proficiency  scores, such as TOEFL scores, are required for international applicants.  Teaching assistantship are not generally available for this program.

 

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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