Curriculum
The University of Kansas Master of Science in Clinical Research (MS-CR) degree is a 33-credit hour program. Students are required to complete eight core courses for a total of 22 credit hours and 8 additional credit hours of electives. The final 3 credit hours are devoted to the student's thesis.
MS-CR students will work closely with the MS-CR Directors and Academic Program Manager to design a schedule that meets their individual needs and program requirements. Most students work full-time and complete the degree in approximately two years; however, the program may be completed in as little as one year. The program may be completed almost entirely online or through a combination of in-person and online courses. The listed courses comprise the current MS-CR curriculum.
Curriculum and course offerings are subject to change. Please refer to the official University course catalog for the most current program requirements.
Core Courses (22 credits)
| Course | Credits |
|---|---|
| PRVM 800 Principles of Epidemiology | 3 |
| BIOS 714 Fundamentals of Biostatistics I | 3 |
| BIOS 715 Intro to Data Management Using RedCap and SAS OR PRVM 875 Management of Public Health Data (Wichita only) |
3 |
| PRVM 841 Advanced Epidemiology I | 3 |
| PRVM 872 Grant Writing OR PRVM 869 Systematic Review (Frontiers TL-1 Predoctoral Students) |
3 |
| PRVM 853 Responsible Conduct of Research | 1 |
| BIOS 717 Fundamentals of Biostatistics II | 3 |
| BIOS 810 Clinical Trials | 3 |
Electives (8 credits), approved courses include
Click the course number link to view more information about the course in the online catalog.
- PRVM 803 Introduction to Clinical Research (classes in person during August)
- PRVM 804 Community Health Assessment, Intervention and Advocacy
- PRVM 806 Special Topics/Independent Study (fall and spring)
- PRVM 813 Chronic Disease Epidemiology
- PRVM 815 Infectious Disease Epidemiology
- PRVM 835 Evaluation Methods in Public Health
- PRVM 842 Advanced Epidemiology II: Methods in Longitudinal Studies
- PRVM 849 Qualitative Methods in Health Research
- PRVM 851 Public Health Policy and Law
- PRVM 868 Biomedical Informatics Driven Clinical Research
- PRVM 869 Systematic Review
- PRVM 873 Scientific Writing
- PRVM 879 Budgeting and Human Resource Management
- BIOS 720 Analysis of Variance
- BIOS 730 Applied Linear Regression
- STAT 818 Introduction to R
- STAT 823 Introduction to Programming and Applied Statistics in R
- CBIO 800 Mechanisms of Tumor Development and Progression
Thesis
- PRVM 899 Thesis (Research project)