University of Texas at El Paso Academic Catalog

Academic Catalog

M.S. in Statistics


The Statistics program accommodates students desiring an applied background for a career in government and industry as well as students desiring a more theoretical background for further graduate studies.

The Master of Science in Statistics degree is available in both a thesis (recommended) and a non-thesis option. For students electing the thesis option, the program requires 24 hours of acceptable course work and 6 hours of credit for the thesis. For students not electing to write a thesis, 36 hours of acceptable coursework, including Statistics 5396, are required. Students must enroll in Statistics 5195 each semester of residence. Comprehensive written exams are required of all students. Students who write a thesis may have a portion of the comprehensive examination waived.

Admissions Requirements

  • An official transcript, with the four-year baccalaureate degree posted, from the degree-granting institution and copies of transcripts for all other relevant upper-division and graduate work at accredited U.S. institutions or equivalent work and degrees at foreign institutions.
  • Statement of Purpose
  • 2 Letters of Recommendation 

For graduates from institutions outside the United States where English is not the first language, the graduate school requires a minimum score on the Test of English as a Foreign Language (TOEFL). Please consult graduate school website for required scores,

Degree Plan

Required Credits: 31-37

MS in Statistics (All courses require a grade of C or better)
Required Courses:
MATH 4326Linear Algebra3
MATH 5321Principles of Analysis3
STAT 5195Graduate Seminar1
STAT 5380Mathematical Statistics I3
STAT 5381Mathematical Statistics II3
STAT 5385Statistics in Research3
STAT 5388Multivariate Data Analysis3
Select a thesis or non-thesis option:12-18
Thesis Option
Thesis 1
Thesis 2
Plus 6 more hours from Electives list below.
Non-Thesis Option
Graduate Research
Plus 15 additional hours from Electives list below.
Statistical Programming
Applied Experimental Design
Categorical Data Analysis
Post-Genomic Analysis
Special Topics
Stochastic Processes
Time Series Analysis
Statistical Computing
Intro to Statistical Analysis
Introduction to Data Mining
Statistical Data Mining
Total Hours31-37