Biostatistics Program Fit Quiz

1. What kind of problems do you enjoy solving? (Select all that apply)

Deep theoretical questions Real-world data problems Technical/data engineering challenges Strategic health policy issues Translating complex info for others Coordinating public health programs

2. How do you feel about math and statistics? (Select all that apply)

Love theory and proofs Like applying stats to real life I like using tools and code Data is fine, but not my focus I'd rather communicate about data I'm more of a systems thinker

3. Which of these math/statistics courses have you completed or are planning to take?

Course	Taken or In Progress	Plan to Take
Calculus I
Calculus II
Linear Algebra
Probability
Statistics
Multivariable Calculus
Real Analysis

4. How do you want to engage with statistics? (Select all that apply)

Develop new statistical theory Apply existing statistical methods Build software tools using statistics Use stats to inform health policy Communicate findings broadly Manage data-driven programs

5. What do you value most in graduate training? (Select all that apply)

Academic research training Foundation in applied statistics Hands-on computing experience Faculty collaboration/publishing Real-world dataset experience Leadership/project management

6. What is your experience with coding/programming? (Select all that apply)

R Python SAS Stata SQL Bash / Unix scripting

7. What type of career path are you most interested in pursuing? (Select all that apply)

Academic research and teaching Public health or biomedical research teams Industry roles focused on data or engineering Policy, strategy, or organizational leadership Health education or communication Operations or program coordination

8. What best describes your current situation?

First-year undergraduate Sophomore Junior Senior (graduating by Summer '25) Graduate student Employed full-time Other

Biomedical & Clinical Applications

Cancer Research Cardiovascular Diseases Diabetes Women’s Health Children’s Health Autoimmune Diseases Infectious Diseases Mental Health Substance Use and Addiction Injury and Surgery Organ Failure and Transplantation Imaging ECMO

Genetics, Omics & Computational Biology

Genetics and Genomics Statistical Genetics and Genomics Mendelian Randomization Microbiome Research Multi-Omics Research Bioinformatics Data Integration

Statistical Methods & Modeling

Bayesian Statistics Causal Inference Computational Statistics Nonparametric / Semiparametric Modeling Statistical Analysis with Missing Data Variable Selection Stochastic Models and Processes Longitudinal / Correlated Data Survival Analysis

Clinical Trials & Treatment Design

Clinical Trial Design and Analysis SMARTs Dynamic Treatment Treatment Recommendation Modern Clinical Trials Real-World Evidence Precision Health

Technology & Data Science

AI and Machine Learning Health Data Science High-Dimensional Data Analysis Predictive Modeling Reinforcement Learning Brain Computer Interface Network Inference Wearable Devices and Mobile Health

Public Health, Policy, and Equity

Health Disparities Social Determinants of Health Health Economics Health Services and Outcomes Healthcare Provider Profiling Health Policy Evaluation Global Public Health Environmental Health Sciences Implementation Science

Survey & Spatial Methodology

Adaptive Survey Design Sample Design Responsive Survey Design Nonprobability Sampling Survey Nonresponse Total Data Quality Total Survey Error Spatial Statistics Spatiotemporal Modeling

Optional: Let us know who you are

Please share your contact information with us if you're interested in learning more about the fields of biostatistics and health data science, or want to know more about the Department of Biostatistics at the University of Michigan. This is how we can let you know about upcoming prospective student events and share more information about the department and the field.
First Name:
Last Name:
Email:

Is a Michigan Biostatistics Degree Right for You?

Your Background