Quick facts
Program location: CU Anschutz
Credit hours: 80
Est. time to complete: 5-6 years (with MS)
This program will prepare you for advanced study and research in biostatistics. It's a great fit for students with a strong background in mathematics and statistics who are interested in working in health care and biological settings. As a student in this program, you'll function as an independent investigator or co-investigator with researchers in other areas, taking the lead in designing studies and analyses. Our faculty are studying the analysis of longitudinal data, clinical trials, statistical methods in genetics and genomics, causal modeling, treatment of missing data and imputation, image analysis, functional data analysis, and data visualization, which means you can find the mentor who's right for you.
When you leave this program, you'll be prepared to teach and carry out research developing new statistical methods.
Quick facts
Program location: CU Anschutz
Credit hours: 80
Est. time to complete: 5-6 years (with MS)
Sample careers
Independent research investigator
Lead or co-investigator
Faculty
& more
Skills you'll gain
Applied and theoretical statistics
Computational statistics
Study design and analysis
& more
If you have an MS in Biostatistics or a related field, this program can be completed in three to four years. Typically, you'll spend the first one to two years devoted to coursework and the later years on research and your dissertation. Research and dissertation work involves developing, comparing, and evaluating statistical methods (e.g. methods for analyzing data), typically motivated by an application in healthcare or biology. Check out the Department of Biostatistics & Informatics FAQ page for more information about this program.
Course requirement | Course # | Credits |
Advanced Biostatistical Methods I | BIOS 6618 | 3 |
Advanced Biostatistical Methods II | BIOS 6619 | 3 |
Statistical Consulting | BIOS 6621 | 2 |
Advanced Statistical Methods & Analysis | BIOS 6624 | 3 |
Statistical Theory I | BIOS 6631 | 3 |
Statistical Theory II | BIOS 6632 | 3 |
Longitudinal Data Analysis | BIOS 6643 | 3 |
20 |
Course requirement | Course # | Credits |
Foundations in Public Health | PUBH 6600 | 2 |
Public Health Concepts | EHOH 6601 | 1 |
Epidemiology | EPID 6630 | 3 |
6 |
Course Requirement | Course # | Credits |
---|---|---|
Causal Inference | BIOS 6641 | 3 |
Introduction to Python Programming | BIOS 6642 | 3 |
Survival Analysis | BIOS 6646 | 3 |
Statistical Methods for Genetic Association Studies | BIOS 6655 | 3 |
Course requirement | Course # | Credits |
---|---|---|
Advanced Mathematical Statistics I | BIOS 7731 | 3 |
Theory and Algorithms in Data Science | BIOS 7732 | 3 |
6 |
Students are required to enroll in 9 credits of Elective PhD Biostatistics Courses. (Courses not listed require director approval)
Course requirement | Course # | Credits |
Statistical Methods in Genomics | BIOS 7659 | 3 |
Information Visualization | BIOS 7719 | 3 |
Model Selection | BIOS 7722 | 2 |
Machine Learning for Biomedical Applications | BIOS 7747 | 3 |
9 |
Course requirement | Course ID | Credits |
Elective Health Sciences Courses | 3 |
Dissertation | BIOS 8990 | 30 |
Competencies | Required course | |
PHD-BIOS 1 | Carry out and explain calculations, derivations and proofs central to advanced statistical theory, and explain their use and implications in applied statistical work. | BIOS 7731 BIOS 7732 |
PHD-BIOS 2 | Carry out advanced statistical modeling using a range of statistical theory, methods and computation. | BIOS 7732 |
PHD-BIOS 3 | Demonstrate advanced collaborative biostatistical skills, including formulating testable study aims, identifying, designing and evaluating statistical analyses appropriate for study aims, reading and synthesizing biostatistical literature relevant to study analyses, and suggesting new methods when existing approaches are inadequate. | Qualifying Exam Comprehensive Exam |
PHD-BIOS 4 | Carry out independent biostatistical research involving development and evaluation of novel statistical methods and their application to problems of importance in health science research, and report the methods and findings orally and in writing. | BIOS 8990 |
The past several years, all PhD students desiring funding have been supported on Research or Teaching Assistantships (RA/TA) that pay a stipend, tuition, and health insurance. Through these positions students conduct independent research as well as receiving real-world research and collaborative experience on a very large and active health sciences campus. PhD students are also required to serve at least one semester as a TA.
CU Anschutz
Fitzsimons Building
13001 East 17th Place
3rd Floor
Mail Stop B119
Aurora, CO 80045