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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 Alvarez 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, and permanent residents who have earned university-level credit from foreign institutions are required to submit official transcripts along with an evaluation of the transcripts from Foreign Credentials Service of America.
|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.)
Graduate Advisor of Record: Ram Tripathi, Ph.D.
Telephone: (210) 458-5549
Degree Catalog Link:http://catalog.utsa.edu/graduate/business/managementsciencestatistics/#applied-statistics-phd
Degree Website: https://business.utsa.edu/programs/phd-applied-statistics/
Full-time students admitted to the Ph.D. program are usually awarded fellowships that include a waiver of tuition, a stipend to help cover living expenses, and some health care benefits. The stipend is likely to vary but could be in an amount up to $25,000 annually. These stipends carry with them the expectation that the student will work 20 hours a week in either a research or teaching assistantship.
Course Scheduling and Offerings
This program will admit full-time as well as part-time students. Full-time students will normally be expected to enroll for nine hours each long semester, and three hours in the summer semester while part time students are expected to enroll for a minimum of three credit hours each semester. Most courses will be offered during the evening. Ph.D. full-time students normally serve as either a teaching assistant or research assistant throughout the program. These experiences are an important part of the training and overall doctoral experience.