The Ph.D. in Applied Statistics combines theory with applications to prepare students to pursue careers in academia, research organizations, government and private industry. Full-time or part-time plans of study are available to interested candidates.
Students will have the opportunity to work closely with faculty members in small classes, seminars, research projects and other assignments aimed toward developing strong analytical skills, breadth of knowledge in statistical issues and strong competencies to conduct independent, quality research.
Must complete university-wide graduate requirements in addition to the following.
- A completed application form
- A curriculum vita and a statement of experience, interests and goals
- A cumulative grade point average of 3.3 or higher in the last 60 hours of coursework
- Transcripts from all colleges and universities attended
- Graduate Record Examination (GRE) scores (no more than five years old)
- Three recommendation letters from academic or professional sources
- TOEFL or IELTS (international students)
Annual application deadline is February 1.
In this age of advanced technology, there is an increasing demand for individuals with the expertise in designing experiments and analyzing large complex data sets via the latest advances in computing. UTSA seeks to admit students with high intellectual capability, high motivation and the interest to pursue independent research projects.
In addition to satisfying the university-wide graduate admission requirements, a B.A., B.S., M.A. or M.S. in mathematics, statistics or a closely-related field is required. Students who have not taken mathematical statistics courses at the undergraduate level may be required to complete the equivalent courses in the appropriate background areas before taking graduate courses.
Students will take courses in Statistical Theory and Methodology, Simulation and Computing within the Department of Management Science and Statistics. They will also have the opportunity take up to six hours of data science/data mining related courses in other areas of their interest such as Biology, Computer Science, and Engineering with the approval of the Graduate Advisor of Record.
Statisticians are in very high demand in financial institutions and insurance companies to model risk and develop forecasting models. There is also a high demand for statisticians in the biomedical field to develop methods for evaluating the efficacy and safety of new medications and in the cutting edge research of bioinformatics. Places of employment for graduates include think tanks, market research firms, manufacturing organizations, health science centers, pharmaceutical companies and financial institutions.
Scholarships & Assistantships
Early application is strongly recommended to be considered for scholarships, assistantships or other forms of financial support. Please note that admission into the program is not a guarantee of financial support. Ph.D. students who are selected for funding typically receive a financial package for a period of up to four years.
For more information contact Ram Tripathi, Ph.D. program advisor at email@example.com.