The Statistics & Data Science Interdisciplinary Program offers interdisciplinary courses of study leading to the Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) degrees in Statistics (regular track or statistical informatics track), along with a 12-unit Graduate Certificate. A Ph.D. minor in Statistics is also available for students already registered into a Ph.D. program other than Statistics here at the UA. Our mission is to develop the next generation of data scientists, trained to meet the challenges of modern interdisciplinary data extraction, analysis, and interpretation.
The GIDP supports and encourages the central role of statistical and quantitative thinking in the biological, physical, engineering, financial, and social sciences. Necessary training is provided for students to develop core expertise in statistical theory and methodology, and also for students who will apply their statistical knowledge in practical, transdisciplinary research; targeted subject-matter specialties include, but are not limited to biometry, bioinformatics, biostatistics, econometrics & financial statistics, educational statistics, operations research & applied probability, psychometrics, spatial/spatio-temporal analysis, statistical genetics/genomics, stochastic modeling, and quantitative risk assessment.
If you have questions on the admissions process, please contact Melanie Bowman, Program Coordinator, at email@example.com.
The Graduate College sponsors several Graduate Interdisciplinary Programs (GIDPs) in addition to the many interdisciplinary possibilities available through regular graduate degree programs. GIDPs transcend departmental boundaries by facilitating cutting edge teaching and research at the nexus of traditional disciplines. The high value placed on interdisciplinary research and education is indicative of The University of Arizona's enthusiasm and commitment to fostering innovation and creativity among its faculty and students.
University of Arizona - Main - Tucson
For admission to the M.S. Program in Statistics, applicants must have or be in the process of completing a Baccalaureate Degree, either in a mathematical field or a field that makes significant use of quantitative methods, with at least a 3.0 overall grade point average (GPA). A previous degree in Statistics or Biostatistics is useful, but not required.
All students entering the Program are required to have a substantive background in mathematics, including at least three semesters of Calculus through multivariable/vector calculus (at the level of MATH 125, MATH 129, MATH 223), one semester of Linear Algebra (at the level of MATH 215), and experience with computer technologies.
For M.S. and Ph.D. applicants, at least one introductory course in statistical methods (at the level of MATH 263) is required. In addition, at least one semester of upper-division Probability (e.g., MATH 464) and (for Ph.D. students) two semesters of upper-division Real Analysis (e.g., MATH 425A-425B) are strongly recommended. M.S. and Ph.D. applicants must also show scores on the Graduate Record Examination (GRE - general test only) that exceed 75th percentile Quantitative and 50th percentile Verbal. (GRE scores must be dated no older than five years from the time of application to the program.)
Applicants from non-English-speaking countries must exhibit proficiency in English as per the Graduate College's basic requirements for this proficiency: a minimum score on the Test of English as a Foreign Language (TOEFL) of 550 paper based (PB) or 79 internet-based (iBT).
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.
Note, however, that the GIDP imposes additional English proficiency requirements on applicants in order to be eligible for financial aid through the Program. See the section below on Financial Assistance for further details.
The Graduate College's basic admissions requirements stipulate that scores on the TOEFL or the IELTS must be dated within 24 months of the term of intended enrollment. Scores older than this are considered out-of-date and cannot be used to support a student's application.
Along with these materials, a Statement of Purpose describing the applicant's interests and goals for graduate study in interdisciplinary statistics, a list of college-level statistics and mathematics courses completed (including final grades) or in progress, and a minimum of two letters of recommendation from university faculty members familiar with an applicant's academic and scholarly abilities are also required. (Applicants who wish to submit additional letters may do so; however, letters from non-academic sources are treated with lesser weight by the Recruiting & Admissions Committee.) An attendant curriculum vitae is optional, but recommended. Complete application procedures are given in the Applications section of this website.
GRE General test
An English Proficiency test is required for international applicants only
Minimum GRE Verbal: must exceed 50th percentile
Minimum GRE Quantitative: must exceed 75th percentile
Minimum TOEFL: a minimum score on the Test of English as a Foreign Language (TOEFL) of 550 paper based (PB) or 79 internet-based (iBT).
Financial assistance is available for qualified applicants, in the form of Graduate Research or Teaching Assistantships. In order to receive financial aid, the GIDP requires that:* each student must exhibit full-time graduate status, which requires registration for a minimum of 9 units each semester; and* each student must maintain a cumulative GPA of 3.0 or higher while enrolled in the Statistics graduate program. (Please note PhD students recieve funding priority and it is rare for a Master's student to receive assistantship funding)
To be eligible for financial assistance, applicants from non-English-speaking countries must also demonstrate sufficient English proficiency in order to communicate effectively when instructing or describing modern statistical concepts to fellow scholars and scientists. The GIDP's eligibility requirements are:
* a Test of English as a Foreign Language (TOEFL) iBT total score at or above 106 and a TOEFL iBT Speaking score at or above 26, or
* an International English Language Testing System (IELTS) score of 8, with a score of no less than 7 on any individual module.
Students from non-English-speaking countries who have not achieved either this TOEFL iBT or this IELTS English proficiency requirement prior to matriculating into the Statistics GIDP may instead meet the University's requirements for Spoken English Proficiency as stipulated by the Graduate College. These requirements are: a minimum score of 26 on the Speaking section of the TOEFL (iBT), or a minimum score of 7 on the University’s T-BEST exam, or a minimum score of 50 on the University’s TSE/TAU/SPEAK exam, or be a U.S. Citizen or Permanent Resident. Previous attendance at an English-speaking institution does not satisfy this requirement.
These policies are independent of any specific form of financial assistance (Teaching Assistant, Research Assistant, Fellowship, etc.) the student receives. No waivers or exceptions are permitted. Additional information on financial support in the GIDP is available in the pertinent section of the Statistics Graduate Student Handbook.
The GIDP in Statistics is a small program, and as such only limited assistance is available. Graduate student support is not guaranteed for any student in the program, and as such competition for this assistance is very high. Consideration is generally given first to students in the Ph.D. program, although financial support for M.S. students is possible when resources permit.
Students are encouraged to seek out funding from a variety of sources; the Graduate College has online resources which can facilitate this effort. Students are also strongly encouraged to apply for Research Assistantship support through faculty and fellowship awards from local and national agencies.
Domestic and International Applicants:
International applicants will not be considered for conditional admission by this program.
A minimum of 30 units of coursework (graded C or better) past the Bachelor’s Degree is required.
Core MS Courses; 15 units as follows:
A maximum of 3 units of Statistical Consulting (STAT 688/ABE 688/BIOS 688) may be applied towards the Core MS course requirements.
An MS Thesis or in lieu of a Thesis, advanced statistical coursework; minimum 3 units as follows:
Additional Elective Courses; minimum 12 units from any of the following:
A maximum of 4 units of Biostatistics Seminar (CPH 696S/EPID 696S) may be applied towards the Elective MS course requirements.
Master’s students have the option of completing a thesis in place of the qualifying exam. In addition to the 5 required courses, master’s students complete their degree by taking an additional 4 (with the thesis option) or 5 courses.
All Statistics & Data Science Graduate Students are required to complete Communications requirements.
Prepare a basic web page containing information on their own research, teaching, and other professional activities and make this page available through the Program’s web site.
Prepare a professional CV and post it on the web site.
Write articles or proposals and give lectures or presentations for audiences of various levels of sophistication. At least one of these activities must be verbal, and at least one must be written. For a complete list of activities see the Student Handbook.
Please refer to the Graduate Student Handbook for students who are pursuing this program of study.
|Application Acceptance Rate||62.96%|
|Med. Time-to-degree (years)||n/a|
|Enrollment Percent Male||66.67%|
|Enrollment Percent Female||33.33%|
|Enrollment Percent International||33.33%|
|Enrollment Percent URM||33.33%|