Graduate
Admissions
Mathematics
The Ph.D. in Biostatistics is offered jointly with the Department of Biostatistics and Health Data Science of the Indiana University Fairbanks School of Public Health (FSPB), which administrate this program. It combines the statistical theory and modeling strengths of our Department of Mathematical Sciences with the exceptional biostatistical methods research, health sciences applications, and public health experience of the FSPB’s department of biostatistics.
Admission Requirements
Applications are invited from individuals with strong quantitative and analytical skills and a strong interest in biological, medical and/or health related sciences. Any applicant who has a bachelor’s or master’s degree from an accredited institution and shows promise for successfully completing all the degree requirements will be considered for admission to this PhD program.
This program requires completion of at least 90 credit hours of graduate work and can be completed on either a full-time or part-time basis. A maximum of 30 credit hours completed in either a previous degree program, or in graduate non-degree status, may contribute towards this requirement, subject to program approval. However, transfer of credit hours completed in graduate non-degree status is limited to no more than 12. All course grades must be a B or higher in order to be considered for transfer into the program.
In addition to satisfying general Indiana University Graduate School requirements for admission, applicants must have at least a B (3.00 GPA) average in courses taken during the last two years of their earlier degree studies, and a grade of B+ (3.50 GPA) in courses required as prerequisites for the program.
Students entering this program should have a minimal mathematics background consisting of an undergraduate course sequence in univariate and multivariate calculus (equivalent to MATH-I 165, MATH-I 166 and MATH-I 261 at IU Indianapolis) and a course in linear algebra (including matrix theory). In addition, applicants should have had a calculus-based undergraduate level course in probability or statistics. Prospective applicants who do not have this background must acquire it prior to admission to the program.
Those whose native language is not English must also take the Test of English as a Foreign Language (TOEFL) and achieve a score of 570 (or 230 on the computer version of the test, or 79 on the internet-based test). Final admission decisions will be made by the faculty admission committee.
Application Process
All application should be submitted though the Centralized Application Service of the Association of Schools and Programs of Public Health (ASPPH). A statement of personal and professional goals (approximately 750 words). This can be submitted as part of the online application or sent directly to the department.
A resume or CV.
GRE scores are not required for admission unless you are applying to the program as a full-time funded student, in which case you are strongly encourage to submit your current GRE scores.
Three letters of recommendation.
Official transcripts and evidence of degrees awarded from each post-secondary school attended.
Non-native speakers of English must provide proof of English proficiency. See the IUI Office of International Affairs English Language Requirements for details.
For additional information see https://medicine.iu.edu/biostatistics/education.
NOTE: All documents submitted become property of IU Indianapolis. After one year of no enrollment, hard copies will be discarded.
Admission Deadlines
Fall Semester
- Priority Application: December 15
- All Applications: February 1
Applications are considered for Fall entry only; application entries for Spring (January) and Summer (June) will not be considered. However, any prospective applicant who would like to start taking classes during a Spring or Summer session is welcome to do so as a graduate non-degree student. A separate application is required see https://graduate.indiana.edu/apply/how-to-apply/continuing-non-degree.html for additional information.
