About Us
What is Management Science?
What is Statistics?
Class Schedules
Meetings
Technical Reports
Faculty Development
Faculty
Staff
Students
Alumni
Master Degree
Ph.D. Degree
Master Degree
Ph.D. Degree
Dual Degree Program
Intercollegiate
Certificate Program
Distance Education
Microcomputer Lab
Statistical Consulting Center
Tutorials
Other Resources
Jobs and Internships
Statistical Engineering Service
Center for Executive Education
Student Resumes
Knoxville Area
Other Links
The University of Tennessee
College of Business Administration
Campus Photos
A-Z Index  /  WebMail  /  Campus Directory  
STh
Master in Statistics-Curriculum

The M.S. Program in Statistics Requires:

  • 6 hours of probability and statistical theory
  • 9 hours of applied statistics, regression and experimental design.
  • 5 (or more) elective courses
  • 2 comprehensive exams (theory and methods)
  • An independent project (or thesis).

All students are strongly encouraged to complete an internship between the first and second year. The program is applied with heavy involvement in computing. The comp exams are taken during year 2; the theory comp exam is usually taken at the beginning of the fall semester and the methods comp exam at the beginning of the spring semester.  

* Recommended Computer Systems for the College of Business
Note well to avoid Windows Vista for JMP, SAS, etc.
Stay with Windows XP at least till summer 2008.

<Back to top>


Sample Program

(with 39 hours, 6 more than required)

Fall Semester, Year 1:

  • ST 563 - Introduction to Mathematical Statistics (3)
  • ST 566 - Statistical Techniques in Industrial Processes (elective 3)
  • ST 571 - Statistical Methods (3)
  • ST 587 - Graduate Seminar (introduction to UT Statistics, resume building, internship/job hunting skills 1)

Spring Semester, Year 1:

  • ST 564 - Theory of Statistical Inference (3)
  • ST 572 - Applied Linear Models (3)
  • ST 573 - Design of Experiments (3)

* International students must apply for Practical Training Seminars before their internship.

* International students before visiting home are encouraged to get a formal letter signed by the department stating they are a student in good standing.


Summer, Year 1:


Fall Semester, Year 2:

  • ST 587 - Graduate Seminar (1)
  • ST 592 - Internship (for summer internship after completing a brief report and giving an oral presentation 1)

plus choose three of the following with the formal advice of the master committee advisor:


Spring Semester, Year 2:

  • ST 593 - Independent Study (3)

plus choose two of the following with the formal advice of the master committee advisor:

<Back to top>


Comprehensive Exams

STATISTICS COMPREHENSIVE EXAMINATION RULES

The Comprehensive Theory Exam is a four-hour close-book exam covering Stat 563 - 564 topics. It is given during the week preceding the Wednesday beginning of the Fall semester. The exam is jointly written by two faculty members and jointly graded by two faculty members.

The Comprehensive Methods Exam is a four-hour open-book exam covering Stat 572 and Stat 573 topics. (IGSP students may substitute a course for Stat 573 with the approval of the MS committee) This exam is given during the week preceding the Wednesday beginning of Fall semester. The exam is jointly written and jointly graded by two faculty members.

Both exams typically require computer work.

A score of 70% is required to pass the Theory exam and 70% is required to pass the methods exam. If a student earns less than 70% on just one part, the MS committee may give the student a Conditional Pass and specify additional work to be done to be given a passing grade, or the Graduate Committee may require the student to retake that part. If the student earns less that 70% on each part, the student must retake the exam. Normally, retakes will be scheduled for the next time the exam is offered, which is expected to be at the beginning of the following semester.

The Graduate School rules state that a student failing the comprehensive exam twice is terminated from the program.

ST 563-564 Statistical Theory

ST 572 Applied Linear Models: Click here

ST 573 Design of Experiments:

<Back to top>

 

Introduction
Admission
Degree Requirements
Computer System Requirement
Sample Program
Comprehensive Exams
STAT MS Handbook
2007-08 Graduate Catalog
2007-08 STAT Graduate Course Descriptions
UT Library Resources for Statistics
     
 
UT Home CBA Home