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Why study applied statistics online through OSU?

This professional master’s degree is available entirely online, making it an attractive option for working professionals as well as traditional students. The M.S. in Applied Statistics at OSU focuses less on the mathematical underpinnings of statistics and instead emphasizes the practical application of statistical methodology. While this terminal degree is not intended as a precursor to doctoral studies, it does qualify you for working in industry and academia.



OSU uses Canvas for our learning management system and hosts your online courses and content. From lectures to discussions to submitting assignments, all course interaction is completed entirely online. All you need is the necessary discipline and access to computer capabilities. All instructors who teach online learning courses are the same quality faculty who teach on-campus courses.


Tips for Online Students



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. Courses within each sequence listed below must be taken in the listed order. Sequences of courses can be taken in any order or concurrently. See the course catalog for course descriptions.  


Plan of Study

Prior to enrollment in the 17th credit hour, all students must choose an advisor, committee members, and fill out a plan of study online. The responsibility for doing so rests with the student and his/her advisor. A sample plan of study for students who wish to graduate in two years is below.

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        
Elective     Stat 5033     
Elective     Stat 5053     
 Elective        Stat 5073  
 Capstone         Stat 5002 


Grade Requirements   

Students who receive more than two grades of C or below will be dismissed from the program. Students who receive a D in a course with a STAT prefix may be dismissed from the program.



It is necessary to have an undergraduate degree, not necessarily in mathematics or statistics, to begin a program of study toward the M.S. degree in statistics. It is expected that some students will be admitted to the program who have either a bachelor's degree or a master's degree in some other field. However, the student should have a mathematical background which, as a minimum, is equivalent to these mathematics courses:


  • MATH 2144 Calculus I
  • MATH 2153 Calculus II
  • MATH 2163 Calculus III (Calculus of several variables)
  • STAT 5013 Statistics for Experimenters I or STAT 4023 Statistical Methods I


Students admitted to the program with deficiencies will be required to remedy such deficiencies. Prospective students are encouraged to remedy calculus deficiencies before applying. In addition to the above courses, each student is required to demonstrate competence in a computer programming language.



Students enrolled in the Applied Statistics master's program will complete 32 credit hours during the course of their studies. Cost estimates below are calculated based on 2022-2023 rates. Additional cost details and OSU’s tuition and fee estimator are available on the Bursar website.

2022-2023 Estimated Cost
  Resident Non-Resident
Total cost per credit hour 350.35 480.55
Total cost per 3-credit hour course 1,051.05 1,441.65
Total program cost based on 32 hours 11,211.20 15,377.60

* This is only an estimate of cost, based on currently approved 2022-2023 rates. Cost estimates do not include textbooks, exams, or course expenses, nor do they factor in individual transfer credits or scholarship information. Cost will vary if not enrolled in a fully online degree program. Active-duty military may qualify for resident tuition rate. Tuition and fees are subject to change at any time without prior notice. Full disclaimer



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