Master of Science Degree in Applied Statistics
The Master of Science (M.S.) degree in Applied Statistics includes instruction in a broad range of applied statistical methods and computational tools to prepare students for careers as government, industrial, or academic statisticians, or to pursue doctoral studies in statistics.
In this age of advanced technology, there is an increasing demand for trained individuals who understand the nature of designing experiments, making predictions and forecasts, and analyzing large complex datasets. In response to this demand, the Master of Science degree in Applied Statistics has been implemented at UTSA. The program will include instruction in a broad range of statistical methods and applied computational tools to equip students to pursue careers in government, health science centers, pharmaceutical and manufacturing industries, financial institutions, or to continue to doctoral study in statistics.
Graduates of the degree (the former MS in Mathematics with a concentration in Statistics and MS in Statistics) are employed as statisticians throughout the community at The UT Health Science Center, Fort Sam Houston, PPD Pharmaco, ILEX Oncology, USAA and Southwest Research Institute. In addition, several graduates have earned doctoral degrees at such schools as the University of North Carolina at Chapel Hill, Southern Methodist University, and the University of Chicago. The MS in Applied Statistics will further enhance job opportunities for its graduates with the emphasis on applied courses and the implementation of statistical methodologies using SAS and R.
Program Admission Requirements
In addition to satisfying the University-wide graduate admission requirements, a B.A. or B.S. in statistics, mathematics, engineering, business, or a closely related field is highly recommended as preparation. In particular, three semesters of calculus and a course in matrix theory/linear algebra or their equivalents are required for unconditional admission. A course in probability and/or statistics is preferred but not required. Those students who do not qualify for unconditional admission should anticipate that additional undergraduate and/or graduate coursework may be required to complete the degree. All applicants are required to submit scores from the Graduate Record Examination (GRE) aptitude test.
Candidates for this degree are required to successfully complete 33 semester credit hours as specified below:
A. All candidates for the Master of Science in Applied Statistics must complete the following 15 semester credit hours of coursework
B. A candidate for the Master of Science degree in Applied Statistics must complete 9 semester credit hours of coursework chosen from one of the following focus areas:
- Industrial Statistics
- Management Science
- Financial Modeling
C. A candidate for the Master of Science degree in Applied Statistics must complete 9 semester credit hours of graduate-level courses in Statistics, Engineering, Biology, or other disciplines as approved by the Graduate Advisor.
D. Each candidate for the degree is required to pass a comprehensive examination in Statistics.