Biostatistics and Biomedical Analytics, Graduate Certificate
Credential: Graduate Certificate
Field of Study: Biostatistics and Biomedical Analytics
Program Overview
The Graduate Certificate in Biostatistics and Biomedical Analytics provides a strong foundation in biostatistical methods along with hands-on experience in biomedical applications such as clinical trial design, data analysis, and modeling. This 15-credit-hour certificate is designed for graduate students, working professionals, and researchers, and offers a flexible elective structure supporting specialized training pathways in biostatistical methods, epidemiology and public health analytics, or biomedical data analytics.
The certificate is administered by the Department of Population and Quantitative Health Sciences in the School of Medicine. Credits earned are transferable if needed. The certificate is issued through the School of Graduate Studies, and the coursework will appear on an official Case Western Reserve University transcript.
Graduate Policies
For graduate policies and procedures, please review the School of Graduate Studies section of the General Bulletin.
Program Requirements
The program requires five courses (15 credit hours):
| Code | Title | Credit Hours |
|---|---|---|
| Required Courses: | ||
| PQHS 431 | Statistical Methods I | 3 |
| PQHS 432 | Statistical Methods II | 3 |
| PQHS 435 | Survival Data Analysis | 3 |
| or PQHS 459 | Longitudinal Data Analysis | |
| Elective Track (choose two courses) | 6 | |
| Total Credit Hours | 15 | |
Concentrations
Students can specialize in one of three Elective Tracks (choose 2 courses, 6 credits):
Track 1: Biostatistical Modeling and Methods
For students interested in statistical theory and advanced methodologies.
| Code | Title | Credit Hours |
|---|---|---|
| PQHS 450 | Clinical Trials and Intervention Studies | 3 |
| STAT 439 | Bayesian Scientific Computing | 3 |
| PQHS 453 | Categorical Data Analysis | 3 |
| PQHS 480 | Introduction to Mathematical Statistics | 3 |
Track 2: Epidemiology and Public Health Analytics
For students interested in epidemiological study design and statistical applications in public health.
| Code | Title | Credit Hours |
|---|---|---|
| PQHS 490 | Epidemiology: Introduction to Theory and Methods | 3 |
| PQHS 500 | Design and Analysis of Observational Studies | 3 |
| PQHS 452 | Statistical Methods for Genetic Epidemiology | 3 |
| PQHS 484 | Global Health Epidemiology | 1 - 3 |
| PQHS 491 | Advanced Study Design and Analysis in Population Health Sciences | 3 |
Track 3: Applied Data Analytics in Biomedical Research
For students interested in computational and applied aspects of data analytics in biomedical sciences.
| Code | Title | Credit Hours |
|---|---|---|
| PQHS 471 | Machine Learning & Data Mining | 3 |
| PQHS 515 | Secondary Analysis of Large Health Care Databases | 3 |
| MATH 473 | Introduction to Mathematical Image Processing and Computer Vision | 3 |
| DSCI 432 | Geospatial Data Science: Explore, Analyze and Model Spatial, Temporal & Spatiotemporal Data | 3 |
Sample Plan of Study
For students planning to complete the program in one year (e.g., full-time):
| Fall | Credit Hours | |
|---|---|---|
| PQHS 431 | Statistical Methods I | 3 |
| Elective | 3 | |
| Credit Hours | 6 | |
| Spring | ||
| PQHS 432 | Statistical Methods II | 3 |
| PQHS 435 or PQHS 459 | Survival Data Analysis or Longitudinal Data Analysis | 3 |
| Elective | 3 | |
| Credit Hours | 9 | |
| Total Credit Hours | 15 | |