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Graduate School

 


Statistics

Department Chair

Dr. Rhonda Magel

Department Location

Waldron Laboratory

 Email

ndsu.stats@ndsu.edu

Telephone Number

(701) 231-7177

Degrees Offered

Ph.D., M.S., Certificate

Application Deadline

Application deadline is March 15 for international students and applicants who would like an opportunity for an assistantship if available.

Test Requirements

GRE (recommended)

English Proficiency Requirements

TOEFL ibT 79
IELTS 6.5

 

 

 

Program Description 


The Department of Statistics offers programs leading to a Ph.D. in statistics or a master's 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 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. A graduate certificate in Applied Statistics for non majors is also offered. 

Admission Requirements

 

Graduate Certificate

  • B.S. or equivalent degree from an accredited university,
  • Knowledge of College Algebra

 

Master's Program in Applied Statistics

The Department of Statistics' graduate program is open to qualified graduates of universities of recognized standing. In addition to the Graduate School admission requirements,  the applicant must :

  • Have had at least one year of calculus,
  • Have had at least one course in statistics,
  • Have had at least one programming language  

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.

Ph.D. Program in Statistics

In addition to the Graduate School admission requirements,  the applicant must :

  • Have had four courses in math at the university calculus level or above,
  • Have had several courses in statistics,
  • Have had at least one programming language

Students not holding a master's degree in statistics or a closely related field will not be admitted to the Ph.D. program in statistics. These students must first apply to the M.S. program in applied statistics and complete the M.S. degree. 

Ph.D. Program in Statistics (with Emphasis in Sports Statistics)

In addition to the Graduate School requirements, the applicant must: 

  • Have had four courses in math at the university calculus level or above.
  • Have had several courses in statistics.
  • Have had a least one programming language.

Students entering program with this option can be admitted directly into the Ph.D. program after receiving B.S. degree.  Students holding M.S. degree may also apply. 

Financial Assistance


Teaching assistantships are available. To be considered for an assistantship, the application must be complete with the Graduate School no later than March 15.

Degree Requirements

 

Graduate Certificate

Requires 12 Semester credit hours consisting of STAT 725, STAT 726, and two other pre-approved graduate level courses in statistics. After completing the requirements for the certificate, please contact the Department of Statistics to verify completion.
M.S. Degree in Applied Statistics

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 with an overall GPA of 3.0 or higher. An oral defense of a research-based thesis or paper is required. 

All students must :

  1. Complete a set of core courses with a grade of B or better, including STAT 661, 662, 767, 768, 764 or 774,
  2. Successfully complete 2 one-credit practicums in consulting. Each statistical practicum will be listed as STAT 794,
  3. Complete an additional 9-12 hours (depends on number of research hours) of course work selected from the following courses: STAT 650, 651, 660, 663, 664, 665, 670, 730, 732, 750, 761, 762, 770, 772, 777, 778, 780, 786, 796 (Special Topics in Statistics). At most, two of the following courses will count in the additional 9-12 hours: CSci 618, 654, 737; Math 650, 688, 728. A plan of study must be submitted.
  4. 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 approximately the fourth week of Fall and Spring Semesters. A maximum of two attempts will be allowed, and
  5. Successfully complete and defend a research-based thesis or paper.

M.S. Degree in Computer Science and Statistics

All students must :

  1. 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,
  2. Take CSci 708, 713, 724, 737, 765, and one additional 600- or 700-level course in computer science,
  3. Take STAT 661, 662, 767, 768, 764 or 774, and one additional 600- or 700-level course in statistics (does not include STAT 725 or STAT 726),
  4. Pass both the comprehensive exams for the M.S. degree in computer science and the M.S. degree in statistics, and
  5. 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. 

Ph.D. Degree in Statistics*

The program for the Ph.D. degree requires an additional 30 credits of course work beyond the M.S. degree and 30 hours of research. An oral defense of a dissertation is required. All students must :

  1. Complete a set of core courses with a grade of B or better, including STAT 661, 662, 767, 768, 764 or 774,
  2. Successfully complete 6 one-credit practicums in Consulting/Presentation Practicum. Each statistical practicum will be listed as STAT 794,
  3. Complete an additional 30 semester credits of statistics courses at the 600- or 700-level (does not include STAT 725 or STAT 726). At least 15 credits must be at the 700-level. All Ph.D. students must complete STAT 786,
  4. Complete 9 semester credits from the following: Math 650, 651, 688, 689, 728; CSci 654, 737. This requirement may be waived and additional courses in statistics substituted upon approval by the adviser and advisory committee. A plan of study must be submitted,
  5. Pass a written comprehensive exam. This exam consists of two sections. It is given twice a year during approximately the fifth week of each Semester. A maximum of two attempts is allowed,
  6. Submit a research proposal and pass an oral exam on the proposal and related topics, and
  7. Complete and successfully defend the research dissertation. 

*Some of these requirements may be satisfied upon admittance into the program with an already existing M.S. degree in Statistics.

Ph.D. in Statistics (with Emphasis in Sports Statistics)

This program does require 41 credits in course work, 6 credits in an internship, 3 credits in seminars, and 30 credits in research beyond the B.S. degree.  Students in this program must: 

  1. Complete a set of core courses with a grade of B or better which includes STAT 661, STAT 662, STAT 767, STAT 768, STAT 764, and STAT 774.
  2. Complete 6 additional courses including STAT 650, STAT 651, STAT 663, STAT 664, STAT 671, and STAT 775.
  3. Complete 15 credits of Electives in Graduate Statistics Courses (These could include STAT 660, STAT 670, STAT 672, STAT 761, STAT 772, among others.
  4. Successfully complete 3 one-credit seminars in sports statistics, STAT 790.
  5. Successfully complete an internship with a sports team for two seasons (a student could also work with two different sports teams - one for each season) – STAT 794  (6 credits)
  6. Pass a written comprehensive exam.  This exam consists of two sections over the set of core courses and is given twice per year.  A maximum of two attempts is allowed.
  7. Submit a research proposal in the area of sports statistics and pass an oral exam on the proposal and related topics
  8. Complete and successfully defend the dissertation in sports statistics.

Note:  A student may also enter this program after receiving an M.S. degree is Statistics or closely related field.  Previously taken courses will be evaluated to determine their fit into this program.

Click here for course descriptions.

Faculty

Ron Degges, Ph.D.
North Dakota State University, 2011
Field: Sampling, Regression Analysis 

Seung Won Hyun, Ph.D.
University of Missouri, 2010
Field: Optimal Designs, Adaptive Designs, Clinical Trials 

Rhonda Magel, Ph.D.
University of Missouri-Rolla, 1982
Field: Nonparametrics, Inference Under Order Restrictions, Regression 

Megan Orr, Ph.D.
Iowa State University, 2012
Field:  Biostatistics, Gene Expression Analysis, High-Dimensional Data, Analysis and Multiple Testing 

Gang Shen, Ph.D.
Purdue University, 2009
Field: Mathematical Statistics, Asymptotic Theory, Bayesian Analysis, Change-Point Problem 

Yarong Yang, Ph.D.
Northern Illinois University, 2010
Field: Machine Learning, Spatial Statistics, Bayesian Statistics, Bioinformatics


Student Focused. Land Grant. Research University.

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NDSU Graduate School
Phone: +1 (701) 231-7033
Campus address:  106 Putnam Hall
Physical/delivery address:  NDSU Graduate School/106 Putnam Hall/1349 12th Avenue Northwest/Fargo, ND 58102
Mailing address:  NDSU Dept. 2820/PO Box 6050/Fargo, ND 58108
Page manager: NDSU Graduate School

Last Updated: Tuesday, January 28, 2014 8:14:48 PM