Applied Statistics, MS
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.
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 at http://planofstudy.okstate.edu/. For more information see https://gradcollege.okstate.edu/resources. 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.
|Analytics||Stat 4043||Stat 5063|
|Mathematical Statistics||Stat 4203||Stat 4213|
|Experimental Data Analysis||Stat 5023||Stat 5303|
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 Statistical Methods I or STAT 4023 Statistical Methods II
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.