Program of Study for Students with No Existing Advanced Research Degree
The proposed curriculum consists of a minimum of 54 credit hours: 36 credit hours of coursework (of which at least 24 are graded) and 18 credit hours of dissertation research.*
Curriculum Components |
# of Credits |
---|---|
Required coursework |
22-24 (19-20 graded) |
Required Electives |
3 (graded) |
Electives, Independent Study, Pre-Dissertation Research |
9-11 (6 are graded) |
PhD Dissertation CRSP 701 |
18 |
Total Minimum # of Credits |
54 |
*The total number of graded credit hours/dissertation research credit hours are based on guidelines set forth by the School of Graduate Studies.
Required Courses
Course # |
Course Title |
Units |
Grading |
---|---|---|---|
CRSP 440 |
Translational and Patient-Oriented Research Theory |
3 |
Graded |
CRSP 550 |
Meta-analysis and Evidence Synthesis |
2-3 |
Graded |
CRSP 401 |
Introduction to Clinical Research |
3 |
Graded |
PQHS 431 |
Statistical Methods I |
3 |
Graded |
PQHS 432 |
Statistical Methods II |
3 |
Graded |
PQHS 490 | Epidemiology: Introduction to Theory and Methods | 3 | Graded |
CRSP 603 |
Research Ethics and Regulation |
2 |
Graded |
|
TOTAL GRADED |
19-20 |
|
CRSP 450 |
Seminar in Multidisciplinary Clinical and Translational Research |
0 |
P/F |
CRSP 501 |
Team Science |
1 |
P/F |
CRSP 412 |
Communication in Clinical Research I – Grant Writing |
1 |
P/F |
CRSP 413 |
Communication in Clinical Research II – Oral Presentation, Posters, and the Mass Media |
1 |
P/F |
|
TOTAL P/F |
3 |
|
TOTAL REQUIRED |
|
22-23 |
|
Required Electives
Students must take a minimum of 2 credit hours of courses from the list below, depending on their specific needs and mentor approval.
Course # |
Course Title |
Units |
Grading |
---|---|---|---|
PQHS 426 |
An Introduction to GIS for Health & Social Sciences |
3 |
Graded |
SYBB 421 |
Clinical Informatics |
3 |
Graded |
PQHS 450 |
Clinical Trials and Intervention Studies |
3 |
Graded |
CRSP 500 |
Design and Analysis of Observational Studies |
3 |
Graded |
PQHS 416 |
AI in medicine: knowledge representation and deep learning | 3 |
Graded |
Electives
Students will take electives and CRSP 601 Research Practicum to satisfy the graded and pass/fail course requirements and to advance to candidacy. These courses are selected based on students’ needs and mentor approval. Any CWRU credit-bearing course may qualify. The courses could be ‘field specific’ or include other core elective courses not taken as part of the requirement above. The following list is for illustrative purposes:
Course # |
Course Title |
Units |
Grading |
---|---|---|---|
IBIS or other |
Field specific, e.g. Immunology, Physiology, Pathology |
Up to 18 |
Graded |
NURS 518 |
Qualitative Nursing Research |
3 |
Graded |
SASS 614 |
Models of Qualitative Research |
3 |
Graded |
CRSP 504 |
Managing Research Records - A System's Approach |
2-3 |
P/F |
CRSP 510 |
Health Disparities |
3 |
Graded |
CRSP 500 |
Design and Analysis of Observational Studies |
3 |
Graded |
CRSP 505 |
Investigating Social Determinants of Health |
2-3 |
P/F |
PQHS 400 |
Statistics as Integral to the Scientific Method |
3 |
P/F |
PQHS 411 |
Introduction to Health Behavior |
3 |
Graded |
CRSP 410 |
Independent Study (e.g., laboratory, clinic, community based) |
Variable |
P/F |
Research Component
Course # |
Course Title |
Units |
Grading |
---|---|---|---|
CRSP 701 |
Dissertation Research |
18 |
S/U |