Master of Science in Health Data Science
The Master in Health Data Science is a new program offered by the department of Biostatistics that launched in Fall 2023.
The MS in Health Data Science program is designed for completion in four terms (twenty months) with a total of 48 credits.
MS in Health Data Science APPLICATION INFORMATION
Student Testimonials for Health Data Science Program
Program Curriculum, Courses, and Prerequisites
The Master of Science in Health Data Science Health programs includes the following (or equivalent) courses:
Courses | Credits | Title | Usual Term |
---|---|---|---|
BIOS 601 | 4 | Probability and Distribution Theory | Fall, Year 1 |
BIOS 602 | 4 | Biostatistical Inference | Winter, Year 1 |
BIOS 650 | 4 | Applied Statistics I: Linear Regression | Fall, Year 1 |
BIOS 651 | 3 | Applied Statistics II: Generalized Linear Models | Winter, Year 1 |
BIOS 625 | 3 | Computing with Big Data | Fall, Year 1 |
BIOS 626 | 3 | Machine Learning for Health Sciences | Winter, Year 2 |
BIOS 620 | 3 | Introduction to Health Data Science | Winter, Year 1 |
BIOS 629 | 3 | Case Studies in Health Big Data | Winter, Year 2 |
Master's Programs Prerequisites
RECOMMENDED COURSES | REQUIRED COURSES |
---|---|
|
|
Students with less preparation in mathematics or statistics may be conditionally admitted.
Additional Requirements and Electives (21 credits)
Elective options allow students to develop specialized knowledge and skills that will be helpful for sourcing employment opportunities post-graduation. These courses represent classes that have already been established at SPH or other units. Below we outline the elective courses that cover a variety of topics in biostatistics, data science, computing/programming, and data analytics. Some elective courses form restrictive categories so that students need to take at least one from each category.
All students in the School of Public Health are required to demonstrate competency in biostatistics and epidemiology. The epidemiology requirement may be satisfied in any one of the following ways:
- Completing Epidemiology 600 (Fall & Winter) or Epidemiology 601 (Fall)
- Taking and passing the Epidemiology exemption examination.
- Completing Epidemiology 516 and any necessary prerequisites to that course. (Option available to MS students but not to MPH students.)
- EPID 621 as an option for students funded by the Training Program in Cancer Research
- BIOS 617: Theory and Methods of Sample Design (3 credits)
- BIOS 619: Clinical Trials (3 credits)
- BIOS 653: Longitudinal Data Analysis (3 credits) [Students who intend to pursue a Biostatistics Ph.D. program should take Biostat 653 (offered in the 2nd Fall semester) as the Elective Biostatistics Course.]
- BIOS 675: Survival Time Analysis (3 credits)
- BIOS 695: Analysis of Categorical Data (3 credits) Elective
- BIOS 607: Computing for Data Analytics (3 credits). BIOS 607 consists of three 1-credit modules: R, Python and C++. BIOS 607 is designed to prepare students with limited computing skills. In this way the MS in Health Data Science is flexible and inclusive as a professional workforce training program in health data analytics. Students can either take all 3 modules or waive some module(s) 6 with a previous course or by passing an exemption exam. In case some module(s) are waived, this requirement is considered satisfied, but the student still needs to take other open elective courses to fulfill the total 48-credit degree requirement.
- BIOS 615: Statistical Computing (3 credits)
MS students will fill out the remaining of their required credit hours courses to be selected from an approved list of over 100 courses. All current Biostatistics students are granted access to the approved list, which is maintained on a Google Drive document. The list includes additional electives in Biostatistics (600+ level) and Statistics (500+ level), Math 451, applied courses in public health or related topics, and courses in computational methods.
The first cohort of students enrolled in the MS in Health Data Science will begin
in the Fall 2023 semester and take approximately two years (4 semester or 20 months
specifically) to complete. Scheduling of courses will be done with Biostatistics Student
Services Coordinator,
To complete the MS program within the proposed two years, students must be enrolled
in classes full time.
Tables I and II below present two examples of course selections for a student with modest computing skills (e.g., having little knowledge of R programming or any other programming language) and for a student with strong computing skills (e.g., having extensive knowledge and experience in R, C++ and Python programming), respectively. Students who intend to pursue a Biostatistics Ph.D. program should take Biostat 653 (offered in the second Fall semester) as the Elective Biostatistics Course.
Semester | 1st Fall | 1st Winter | 2nd Fall | 2nd Winter |
---|---|---|---|---|
Courses | BIOS 601 (4) | BIOS 602 (4) | BIOS 615 (3) | BIOS 629 (3) |
BIOS 650 (4) | BIOS 651 (3) | BIOS 625 (3) | BIOS 626 (3) | |
BIOS 607 (3) | BIOS 620 (3) | Elective/Open Elective (3) | Elective/Open Elective (3) | |
EPID/Open Elective (3) | Elective/Open Elective (3) | Elective/Open Elective (3) | ||
Credit Hours | 14 | 13 | 12 | 9 |
Cumulative Credit Hours | 14 | 27 | 39 | 48 |
Semester | 1st Fall | 1st Winter | 2nd Fall | 2nd Winter |
---|---|---|---|---|
Courses | BIOS 601 (4) | BIOS 602 (4) | BIOS 615 (3) | BIOS 626 (3) |
BIOS 650 (4) | BIOS 651 (3) | Elective/Open Elective (3) | BIOS 629 (3) | |
BIOS 625 (3) | BIOS 620 (3) | Elective/Open Elective (3) | Elective/Open Elective (3) | |
EPID/Open Elective (3) | Elective/Open Elective (3) | Elective/Open Elective (3) | ||
Cumulative Credit Hours | 14 | 27 | 39 | 48 |
All students admitted to one of our residential programs are considered for financial support. There are four types of financial support that we offer our students: Graduate Student Instructor (GSI), Graduate Student Research Assistant (GSRA), Training Grants and Fellowships.
Graduate Student Instructor (GSI)
Graduate Student Instructors are appointed at 50% effort, which involves working approximately twenty hours per week. This appointment includes full payment of tuition, health insurance coverage, registration fees and a monthly stipend. GSI’s are appointed to help with the instruction of Biostatistics courses offered to students from other Public Health Departments. The duties of a GSI can include preparing materials for and teaching labs, holding office hours, grading homework and exams, and tutoring.
Graduate Student Research Assistant (GSRA)
GSRA’s are appointed at 50% effort, which involves working approximately twenty hours per week on a research project. This appointment includes full payment of tuition, health insurance coverage, registration fees and a monthly stipend. GSRA’s generally work closely with a faculty member who is a principal or co-investigator on the research project. The duties of the GSRA can involve analysis of biomedical research data or statistical research. Currently, GSRAs are working on projects involving statistical methods development and application to bioinformatics, cancer, clinical trials, dentistry, diabetes, environmental health, epidemiology, genetics, health education, kidney disease, and survival analysis.
Training Grants
Students are also supported through involvement in training grants which provide support similar to the GSRA or GSI appointments. Currently, the Department has two training grants. Information can be obtained by clicking on the links below.
Scholarships, Fellowships and Awards
Awards for tuition assistance are available and are granted without a work obligation. These awards are generally made on the basis of academic merit, expected contribution to the field, and underrepresented backgrounds. Some examples of awards our students have received include:
- the Shapiro Award
- the Rackham Merit Fellowship for Historically Underrepresented Groups
- the Rackham Non-Traditional Fellowship
- the Rackham Regents Fellowship
- the School of Public Health Tuition Assistance Award.
Other award/scholarship opportunities exist for continuing students. They include:
- the Rackham One-Term Dissertation Grant
- the Barbour Scholarship
- the Pre-doctoral Fellowship
- the Susan Lipshutz Award
- the Rackham Travel Award.
The Rackham Sources of Aid page lists various sources of information on financial assistance available to students on campus.
Prospective students interested in applying for specific awards should contact Student Services at 734-615-9817 or fenechn@umich.edu.
Financial Aid
Many of our students are offered funding as GSIs, GSRAs or fellows. If a student does not receive such an offer, he or she may apply for financial aid through the University of Michigan’s Office of Financial Aid. This office requires applicants for any and all types of financial aid to complete the Free Application for Federal Student AID (FAFSA) provided by the American College Testing Center (ACTC). A FAFSA will be sent to you directly if you indicate your interest in financial assistance on the admission application form. FAFSAs are available from most high school or college libraries and financial aid officers, as well as from the School of Public Health Office of Student Affairs. FAFSA is also available at www.fafsa.ed.gov.
Ready to Apply?
Applications for the Biostatistics Master of Science program should be submitted through the Rackham Graduate School online application. Applications for the Biostatistics Master of Public Health program should be submitted through SOPHAS.
Visit our ‘Applications and Deadlines’ page to start the application process.
Directory of Master's Students
Contact Information
MS & MPH programs:
fned@umich.edu
Telephone:
734-615-9812
Mail
Department of Biostatistics
School of Public Health
University of Michigan
1415 Washington Heights
Ann Arbor, MI 48109-2029
Fax:
734-763-2215