At the core of the program is a fundamental grounding in both statistical theory and methodology; however, extensive flexibility via course electives allows students to tailor their final programs of study to their own interdisciplinary interests. The students advisor, along with the Program director, is available to discuss individual selection of these electives., At the core of the program is a fundamental grounding in both statistical theory and methodology; however, extensive flexibility via course electives allows students to tailor their final programs of study to their own interdisciplinary interests. The students advisor, along with the Program director, is available to discuss individual selection of these electives., The Certificate expands existing opportunities for potential or current University of Arizona graduate students wishing to obtain a deeper understanding of statistical methodology, inference, and practice, and offers greater depth of focus to their data-analytic training. The Certificate's program of study provides a prescribed format for such learning, while also allowing for a flexible curriculum that addresses this need over a wide variety of disciplines.
Students may design or select a course curriculum pertinent to their own research or professional interests from a list of advanced, statistically rigorous courses taken from across the campus. Depending on the student's selection of elective courses, expertise may be gained in statistical practice, theory, and/or applications in a specialized area such as biometry, bioinformatics, econometrics, environmetrics, psychometrics, etc.
The GIDP in Statistics at The University of Arizona is an interdisciplinary training program designed to focus and enhance statistical training and research across the UA campus. We offer both the MS and PhD degrees, as well as a PhD Minor and a 12-unit Graduate Certificate, in Statistics. The primary foundations for the Program exist dually in the Department of Mathematics and in the Division of Epidemiology & Biostatistics. Faculty in Mathematics contribute theoretical and methodological expertise in statistics through course offerings, student mentoring and advising, and statistical research collaborations. Similar contributions come from faculty in Epidemiology & Biostatistics, where the focus is on biostatistical research derived from practical applications in the biosciences. This results in extensive coordination across the campus's statistical/biostatistical graduate curricula, course offerings, student involvement, and in the overall support of the GIDP's mission.
Overall faculty expertise in the Program spans a wide range of topics, examples of which include bioinformatics, biostatistics, classification and regression trees, computational biology, data mining and visualization, econometrics, environmetrics, network analysis, population & quantitative genetics, and quantitative risk assessment. GIDP graduate students develop core knowledge in statistical theory and methodology, but also gain experience in practical, trans-disciplinary research; approximately one-third of their graduate program is devoted to a chosen, subject-matter specialization. Areas for this specialization center on current faculty interests and expertise and include the topics mentioned above. Through these offerings the GIDP in Statistics promotes university-wide activities in the broad areas of both theoretical and applied interdisciplinary statistics.
North Central Association of Colleges and Schools, The Higher Learning Commission
International Student Requirements:
For students applying from non-English-speaking countries and who do not have a degree from a U.S. institution of higher learning, scores on the Test of English as a Foreign Language (TOEFL): pBT score above 600 and a pBT Section 1 score above 60, or iBT score above 100 and an iBT Section 2 score above 27. The International English Language Testing System (IELTS) examination can be submitted in lieu of the TOEFL. The minimum IELTS score requirement for admissions consideration is a score of 7, with a score of no less than 6 on any individual module.