|
|
Nov 24, 2024
|
|
2011-2012 Graduate Catalog [Archived Catalog]
Mathematics and Statistics
|
|
Return to: Academic Programs
Program Description
The Computational Science and Statistics PhD program provides intensive preparation for careers in research, industry, or academia. The Master of Science in Mathematics prepares graduates for positions in industry, teaching, or doctoral programs and the Master of Science in Statistics serves as preparation for a career in research, industry, or education, or as a springboard to more advanced graduate work. A specialization in Statistics is offered within the MS in Mathematics program. Also available to students in all graduate programs on campus are Graduate Minors in Statistics for both Master’s Degree and PhD candidates. Please contact the department for details related to Graduate Minors.
|
Available Options for Graduate Degrees
Master of Science |
Option A |
|
Option B |
|
Option C |
Doctor of Philosophy |
60 Credit Plan |
Core Requirements for the Master of Science in Mathematics
All M.S. Mathematics students not pursuing a Specialization in Statistics
Must complete at least one of the following sequences:
and one additional sequence chosen from the following list:
All M.S. Mathematics students pursuing a Specialization in Statistics must take:
Core Requirements for the Master of Science in Statistics
All M.S. students pursuing a degree in Statistics must take:
Core Requirements for the Ph.D.
MS and PhD requirements for Statistics Minor
Grad Stat Minor for PhD Candidates
Required Courses
Prefix
|
Number
|
Course Title
|
STAT
|
510
|
SAS Programming I
|
STAT
|
541
|
Statistics II
|
|
|
Or
|
STAT
|
582
|
Statistics for Physical Science
|
STAT
|
685
|
Statistical Inference I
|
STAT
|
785
|
Statistical Inference II
|
STAT
|
687
|
Regression I
|
STAT
|
787
|
Regression II
|
STAT
|
661
|
Experimental Design I
|
STAT
|
761
|
Experimental Design II
|
MATH
|
784
|
Applied Probability Theory
|
STAT
|
545
|
Nonparametric Statistics
|
STAT
|
586
|
Sampling
|
STAT
|
615
|
Multivariate Analysis
|
STAT
|
662
|
Quality Control
|
STAT
|
746
|
Linear Models
|
STAT
|
792
|
Special Topics
|
|
Grad Stat Minor for MS Candidates
Required Courses
Prefix
|
Number
|
Course Title
|
STAT
|
510
|
SAS Programming I
|
STAT
|
541
|
Statistics II
|
|
|
Or
|
STAT
|
582
|
Statistics for Physical Science
|
STAT
|
685
|
Statistical Inference I
|
STAT
|
785
|
Statistical Inference II
|
STAT
|
687
|
Regression I
|
STAT
|
787
|
Regression II
|
STAT
|
661
|
Experimental Design I
|
STAT
|
761
|
Experimental Design II
|
MATH
|
784
|
Applied Probability Theory
|
STAT
|
545
|
Nonparametric Statistics
|
STAT
|
586
|
Sampling
|
STAT
|
615
|
Multivariate Analysis
|
STAT
|
662
|
Quality Control
|
STAT
|
746
|
Linear Models
|
STAT
|
792
|
Special Topics
|
|
Additional Admission Requirements
GRE: Not required
TOEFL: Department requirement of 550 paper-based, 213 computer-based, 79-80 Internet-based Additional Graduation Requirements
Additional Graduation Requirements
Master’s graduation requirements
- Must pass the comprehensive exam based on the core sequences
PhD graduation requirements
- Must pass a qualifying exam based on the core sequence of the student’s emphasis area
- Must pass written and oral comprehensive exams, as designed by the student’s advisory committee.The comprehensive written examination is offered twice during each academic year.
The four graduate core courses are the subjects of the comprehensive written examination. |
Return to: Academic Programs
|
|
|