Admissions FAQs
Preparing for Application
General Questions
The Department of Biostatistics at the University of Michigan offers graduate programs leading to three types of degrees: (1) PhD in Biostatistics, (2) MS in Biostatistics, (3) MS in Health Data Science (HDS), and (4) Accelerated MS in Biostatistics. Please see below for detailed questions about each program.
Please refer to the Rackham Graduate School website for detailed instructions on how to prepare your application. In brief, you will need (1) academic transcripts, (2) curriculum vita or resume, (3) academic statement of purpose, (3) personal statement, (4) three letters of recommendation, and (5) English test scores (for international applicants, see Rackham website for details). You can begin your application through ApplyWeb.
Students who are interested in the PhD program should apply directly to the PhD program. Many of our admitted PhD students hold a relevant master's degree, such as in biostatistics or statistics, and bachelor's recipients are also admitted directly into the PhD program. PhD applicants without a relevant master's degree can mark their application to be considered for one of our two MS degrees, if not admitted to the PhD program.
All three Biostatistics Department graduate programs require:
- Three semesters of calculus (including multivariable calculus)
- One semester of linear algebra
- One semester of statistics
Mastery of the content of these classes is essential for success in our graduate programs. If you took multivariable calculus or linear algebra more than two years ago, we suggest you re-familiarize yourself with the material before starting graduate school.
See below for the topics covered in the prerequisite courses:
- Calculus I: functions and graphs, derivatives and their applications to real-life problems in various fields, and an introduction to integration.
- Calculus II: techniques of integration, application of these, and an introduction to sequences and series and to differential equations.
- Calculus III: vectors, vector functions, functions of two and three variables, partial derivatives, optimization (including Lagrange multipliers), multiple integrals, calculus of vector field, line integrals and surface integrals, Green's, Stokes', and divergence theorems.
- Linear Algebra: matrix operations, echelon form, solution of systems of linear equations, Euclidean vector spaces, linear combinations, independence and spans of sets of vectors in Euclidean space, eigenvectors and eigenvalues, similarity theory.
If you have not completed all of the prerequisite courses at the time of your application, we encourage you to include in your application when and where you plan to complete those courses prior to starting graduate school. You may be conditionally admitted with the understanding that you will complete these courses before starting your first semester of graduate school. We strongly encourage you to enroll in the remaining prerequisite courses as soon as possible so that your transcript will reflect enrollment.
Yes, if you complete a degree from a US institution or an institution where the official language of instruction is English, the TOEFL requirement may be waived. Please refer to this Rackham test information page for English test rules.
Yes, IELTS is allowed for MS and PhD applications, although the Admissions Committee prefers TOEFL scores. Please refer to this Rackham test information page for English test rules specific to those programs.
MS Program Questions
The Biostatistics program is a long-standing program that offers rigorous, comprehensive, and in-depth training in biostatistics. The newer Health Data Science (HDS) program introduces enhanced training in computational and data analytic skills into the existing biostatistical curriculum for the analysis of large medical and public health data. The two programs differ in their curriculum designs and their training targets (i.e., biostatistician vs health data scientist). You should choose the program that best suits your interests and career goals.
The programs share four core courses: Probability Theory, Statistical Inference, Linear Regression, and Generalized Linear Models. Students in the Biostatistics MS program take a deeper dive into advanced statistical models such as Longitudinal Data Analysis, while students in the Health Data Science (HDS) program take more courses on Big Data Computing and Machine Learning. In addition, the required capstone courses differ between the two programs. For more information, please see the detailed descriptions of the MS in Biostatistics and MS in Health Data Science (HDS) program curricula.
There are multiple data science programs at the University of Michigan Ann Arbor campus. Among them, the only other residential master’s program is the Masters in Data Science (MDS) offered by the Michigan Institute for Data Science (MIDAS). The MIDAS MDS program is typically a 1-year program with 25 required credits, while the Biostatistics Department’s MS in Health Data Science (HDS) program is a 2-year program with 48 required credits. Students in the Biostatistics HDS program not only learn basic data analysis and computing but also gain in-depth knowledge of statistical methods and practical applications relevant to health data science, such as electronic health records, genetics, genomics, biomedical imaging, cancer, epidemiology, clinical trials, and digital and mobile health.
Yes, students enrolled and doing well in the MS in Biostatistics and MS in Health Data Science (HDS) programs are encouraged to consider applying to the PhD program within the Biostatistics Department, typically during their third semester. Students in our MS programs typically have a better chance of admission to our PhD program compared to external applicants from other graduate programs. This advantage is due to the department's familiarity with their academic performance and demonstrated abilities at the University of Michigan, which provides a clearer assessment of potential for success in advanced study.
No, you should choose one of the MS programs and apply to it. We strongly recommend that you carefully review the difference in the curricula before deciding to which program to apply.
We typically do not allow switching between the programs after admission. Only in exceptional cases might this be allowed.
PhD Program Questions
No, we consider applicants directly from undergraduate studies with bachelor’s degrees, as well as those with master’s degrees.
You may only apply to one program—either MS or PhD. However, If you apply for the PhD program and would like to be considered for the master's level programs, you will have a chance to indicate your preferences in a checkbox in the PhD application. The PhD Admissions Committee will take the applicant's interest into consideration when making the admissions and funding decisions.
There are no additional prerequisite courses. However, if you plan to pursue the PhD, taking advanced calculus (also called real analysis) is recommended, but not required. Qualified applicants for the PhD program typically have a strong academic record in mathematics, statistics, and computation. In addition, prior research experience and/or a focus on a specific topic is highly valuable for PhD applicants.
Funding
The Department of Biostatistics awards:
- Full funding through fellowships, research positions, and teaching assistantships.
- Partial funding (hourly paid positions).
- Tuition awards (full or partial tuition scholarships without stipend support or health insurance.
Consideration for funding is automatic when you apply for graduate admission to the department; no separate application is required. The Biostatistics Admissions Committee considers all applicants for possible funding. Applicants are notified of funding decisions as part of the admissions process.
All students admitted to the PhD program are offered full funding: tuition, stipend, and Gradcare health insurance. Students admitted to either MS program (Biostatistics or Health Data Science) may also be fully funded, but this is not common. The Department of Biostatistics also offers full and partial tuition scholarships to some admitted MS students. Some MS students find additional funding opportunities on campus after they begin their graduate program.
After Admission
Academics/In Program
There are multiple ways for MS students to get involved with research. Students may join STATCOM to work on statistical projects from non-profit governmental and community organizations with faculty serving an advisory role. Students may register for Biostat 610: Readings in Biostatistics, where faculty and students can decide on an individualized research plan for course credit. Experiential learning opportunities are available via MIDAS. While GSRA positions are limited, many students find hourly positions within and outside of Biostatistics to work on short-term projects or may find a research position during the summer. Biostatistics faculty may send emails with available positions or positions may be searched for on SPH career links.