Master of Science Degree Requirements
The Department of Statistics offers programs leading to a master of science degree in applied statistics. The program is flexible enough to be individually planned around prior experience and in accord with professional goals.
During the first year of the program, students are strongly encouraged to meet with each individual faculty member to discuss possible research topics. The student should select an advisory and examining committee by the end of the first year.
A joint master's degree in computer science and statistics may also be obtained.
Master's Program in Applied Statistics:
The Department of Statistics' graduate program is open to qualified graduates of universities of recognized standing. To be admitted with full status to the M.S. program, the applicant must:
- Hold a baccalaureate degree from an educational institution of recognized standing.
- Have had at least one year of calculus.
- Have had at least one course in statistics.
- Have had at least one programming language.
Must have at least a 3.0 or equivalent cumulative grade point average (GPA) on all related courses at the baccalaureate level.
Joint Master's Program in Computer Science and Statistics:
To be admitted with full status into the M.S. program in computer science and statistics, the applicant must satisfy the admission requirements for both the M.S. program in computer science and the M.S. program in applied statistics.
The student must first make application to the Graduate School and be accepted in full or conditional status before he/she is eligible for an assistantship in the Department of Statistics.
Teaching assistantships are available. To be considered for an assistantship, a completed Graduate School application, official transcripts, and three letters of reference must be submitted to the Graduate School no later than March 15. International students must also submit a TOEFL score.
The program for the M.S. degree in applied statistics requires 32 semester credits with an overall GPA of 3.0 or higher. An oral defense of a research-based thesis or paper is required.
The program for the M.S. degree in computer science and statistics requires 42 semester credits (at least 18 graduate course credits in computer science and at least 18 graduate course credits in statistics) with an overall GPA of 3.0 or higher. An oral defense of a research-based thesis or paper is required.
Requirements for the M.S. degree in Applied Statistics
All students must:
- Complete a set of core courses with a grade of B or better including: STAT 661, 662, 767, 768, and 764, or 774.
- Complete an additional 11-14 hours (depends on number of research hours) of course work selected from the following courses: STAT 660, 663, 664, 669, 670, 671, 672, 730, 732, 770, 772, 775, 786, 796 (Special Topics in Statistics), 851, 840, 859. *If one of these courses has been taken at the undergraduate level, another graduate level course should be substituted. STAT 725 and 726 will not be counted for this degree program.
- A plan of study must be submitted at least one semester prior to graduation.
- Pass two written comprehensive exams. Exam 1 covers STAT 767 and 768. Exam 2 covers STAT 661, 662, and 764 or 774. Exam 1 is two hours and Exam 2 is three hours. These exams are offered during approximately the fourth week of Fall and Spring Semesters. A maximum of two attempts will be allowed.
- Successfully complete and defend a research-based paper or thesis (3 or 6 credits).
Requirements for the M.S. degree in Computer Science and Statistics
All students must:
- Take a minimum of 42 semester credit hours including at least 18 graduate course credits in computer science and at least 18 graduate course credits in statistics.
- Take CSCI 713, 724, 732, 765 and two additional graduate level courses in computer science.
- Take STAT 661, 669, 671, 772, 732, and one additional graduate level course in statistics (does not include STAT 725 or STAT 726).
- Submit a plan of study at least one semester prior to graduation.
- Pass both the comprehensive exams for the M.S. degree in computer science and the M.S. degree in statistics.
- Successfully complete a research-based thesis or paper. The supervisory committee must consist of at least one faculty member from computer science and at least one faculty member from statistics.