Degree Description and Learner Objectives
The M.S. program trains students in the planning and data analysis of biomedical and public health studies, and is designed to take two years to complete. The degree requirements and electives include biostatistics courses, statistics courses, and health-related courses. Program graduates successfully compete for positions in research institutions, pharmaceutical companies, government agencies, and universities.
Upon completion of the M.S. in Biostatistics, the student should be prepared to function as a statistician or statistical consultant. Therefore the student must have an extensive understanding of statistical theory and practice and should be proficient in the application of statistical methods to one or more areas in the health sciences. At the completion of the M.S. degree in Biostatistics the graduate should be able to:
- Demonstrate a broad knowledge and understanding of statistical theory and practice as applicable in the health sciences.
- Function as a collaborator on a research team.
- Take a leadership role in the design and implementation of a health science project.
- Assume responsibility for the design and implementation of analyses for health science investigations.
- Assist with the design and implementation of data management systems for large health science studies.
- Prepare reports and publications resulting from health science studies.
- Serve as an advocate for good statistical design in health science investigations.
A bachelor’s degree in mathematical, biological, or physical sciences is recommended.
The applicant’s training should include three semesters of calculus, a course in linear algebra, and the ability to program in at least one computer language. Applicants will be asked to provide, as part of the application, transcript verification or a brief statement indicating whether and how the calculus and linear algebra prerequisites have been met, either through coursework at the University of Iowa (22M:025, 22M:026, 22M027, and 22M028) or through comparable regularly-scheduled coursework or independent study at other institutions.
|BIOS:5510||Biostatistical Computing||4 s.h.|
|BIOS:5710||Biostatistical Methods I||4 s.h.|
|BIOS:5720||Biostatistical Methods II||4 s.h.|
|BIOS:5730||Biostatistical Methods in Categorical Data||3 s.h.|
|BIOS:6610||Statistical Methods in Clinical Trials||3 s.h.|
|BIOS:7500||Preceptorship in Biostatistics*||3 s.h.|
Mathematical Statistics I & II
Statistical Inference I & II
|EPID:4400||Epidemiology I: Principles||3 s.h.|
|CPH:6100||Essentials of Public Health||2 s.h.|
|BIOS:7270||Scholarly Integrity in Biostatistics||1 s.h.|
*Preceptorship may be taken for only 1 s.h. if the student has sufficient experience in biostatistical collaborations, as determined by the student’s advisor and the Director of Graduate Studies.
Complete 5-6 s.h. of elective courses, of which at least 3 s.h. must be in quantitative coursework (i.e., Statistics or Biostatistics). It is recommended that students consider a Biology/Public Health course as the other elective – particularly for those who have not had prior exposure to these areas. Electives must be approved by the advisor and the Director of Graduate Studies.
|BIOS:6210||Applied Survival Analysis||3 s.h.|
|BIOS:6310||Introductory Longitudinal Data Analysis||3 s.h.|
|BIOS:6420||Survey Design and Analysis||3 s.h.|
|BIOS:6650||Comparative Effectiveness Res. Methods for Observational Data||3 s.h.|
|BIOS:6720||Machine Learning for Biomedical Data||3 s.h.|
|BIOS:6810||Bayesian Methods & Design||3 s.h.|
|BIOS:7110||Theory of Biostatistics I||4 s.h.|
|BIOS:7120||Theory of Biostatistics II||4 s.h.|
|BIOS:7210||Survival Data Analysis||3 s.h.|
|BIOS:7230||Advanced Clinical Trials||3 s.h.|
|BIOS:7410||Analysis of Categorical Data||3 s.h.|
|BIOS:7310||Longitudinal Data Analysis||3 s.h.|
|BIOS:7410||Analysis of Categorical Data||3 s.h.|
|STAT:4520||Bayesian Statistics||3 s.h.|
|STAT:6540||Applied Multivariate Analysis||4 s.h.|
|STAT:6560||Applied Time Series Analysis||3 s.h.|
|STAT:7200||Linear Models||4 s.h.|
|STAT:7400||Computer Intensive Statistics||3 s.h.|
|CS:5110||Introduction to Informatics||3 s.h.|
|IE:4172||Big Data Analysis||3 s.h.|
Possible Public Health or Biology Electives
|CBH:4105||Introduction to Health Promotion & Disease Prevention||3 s.h.|
|CPH:4101||Introduction to Public Health||3 s.h.|
|ECE:5220||Computational Genomics||3 s.h.|
|GENE:7191||Human Molecular Genetics||3 s.h.|
|HMP:4000||Introduction to U.S. Health Care System||3 s.h.|
|OEH:4240||Global Environmental Health||3 s.h.|
|PATH:5270||Pathogenesis of Major Human Diseases||3 s.h.|
|PATH:8133||Introduction to Human Pathology||3 s.h.|
The student must complete at least 38 semester hours of coursework. The student may choose to take additional graduate-level courses in consultation with her/his advisor.
The master’s core examination is a written in-class exam focusing on the required biostatistics and statistics coursework. This exam is offered twice per year.