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Applied Statistics (Ph.D.)
Basic Degree Information/Description
The Ph.D. program in Applied Statistics is housed in the Department of Management Science and Statistics in the College of Business at The University of Texas at San Antonio and draws on the extensive health-related expertise of faculty from the UT Health Science Center at San Antonio to complement the UTSA statistics faculty. The program will address growing national and state demands for individuals with doctoral training in the areas of biostatistics, business, engineering, and general applied statistics. Statistical methods are ubiquitous and used in the social, physical, and biomedical sciences and in business to process information to assist decision making. 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. In particular, there is a real need for professionals with a Ph.D. degree in Applied Statistics. Statisticians are in very high demand in the fields of biostatistics and bioinformatics, business analytics and economics, engineering and industry, large data set processing and mining, and social and behavioral sciences.
Why an Applied Statistics Ph.D.?
- The college's doctoral classes are diverse in terms of professional experience, academic experience, cultural influences, and international experiences.
- Commitment to research and a passion for teaching are two of the qualities that distinguish both our doctoral faculty and our graduates.
- Students work closely with faculty members in small classes, seminars, research projects, and other assignments, aimed toward developing the analytical skills competencies to conduct independent quality research.
Admission Requirements and Prerequisites
|Required Degree||B.A., B.S., M.A., or M.S. in mathematics, statistics, or a closely related field.|
|Other Degree Requirements||
|General University Requirements||Must meet university wide requirements.|
|Application||A completed a Graduate School application.|
|Transcripts||Official transcripts from all institutions attended. All international transcripts must be recorded in English or officially translated to English.|
|Resume or Curriculum Vitae||A curriculum vita.|
|Letters of Recommendation||Three letters of recommendation from academic or professional sources familiar with the applicant’s background.|
|Statement of Purpose||A statement of experiences, interests, and goals for pursuing a Ph.D. in Applied Statistics.|
|Test Scores||General GRE, not older than five years.
|Evaluation of Foreign Credentials||All applicants including non-U.S. citizens (International), U.S. citizens (Domestic), or permanent residents who have earned university-level credit from foreign institutions are required to submit an evaluation from an approved Foreign Credential Agency of transcripts from all foreign institutions attended. If official transcripts are used in the foreign credential evaluation, the official transcript requirement will be considered met. However, if unofficial documents are used in the foreign credential evaluation, final official transcripts must be sent to UTSA.
|International Applicants||Must meet international graduate student admission requirements
|Other||Applicants may be asked to appear before the admissions committee for a personal interview.|
Career Options Available for a Ph.D. in Applied Statistics
- Private industry
Research is carried out while students are taking formal coursework and during the summers. As research assistants, students are involved with faculty in joint research activities and pursue their own research objectives under faculty supervision. These activities should lead to authoring or co-authoring papers presented at academic meetings and possibly submitted for publication by the time the student is ready for dissertation research. (To compete successfully in the job market, students should give high priority to presenting papers at meetings and publications while in the program.)