Twin Cities campus

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Twin Cities Campus

Rehabilitation Science Ph.D.

Rehabilitation Medicine Administration
Medical School
Link to a list of faculty for this program.
Contact Information
Rehabilitation Science Program, 420 Delaware Street SE - MMC 388, Minneapolis, MN, 55455 (phone: 612-625-3966; fax: 612-625-4274)
Email: adamc002@umn.edu
Website: http://www.physicalrehab.umn.edu/rehabilitation-science
  • Program Type: Doctorate
  • Requirements for this program are current for Spring 2017
  • Length of program in credits: 60
  • This program does not require summer semesters for timely completion.
  • Degree: Doctor of Philosophy
Along with the program-specific requirements listed below, please read the General Information section of this website for requirements that apply to all major fields.
The graduate program in rehabilitation science is a post-professional program designed to train rehabilitation scientists and academicians to meet the growing demand for experts in physical and occupational therapy and related fields. The program includes occupational and physical therapists and students with other backgrounds interested in rehabilitation research. The program's philosophy provides students with 1) a strong foundation in research methodology, 2) a concentrated educational experience tailored toward a student's specific research question in rehabilitation science, and 3) a working knowledge of the importance of a collaborative, interdisciplinary approach to the scientific process.
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program is 3.00.
Bachelor's degree or US equivalent in a related discipline is minimal requirement.
Professional, graduate, or master's degree preferred but not required.
Other requirements to be completed before admission:
Applicants must hold a bachelor's or graduate degree, or accredited US equivalent, in a discipline related to rehabilitation; for example, biomedical engineering, kinesiology, medicine, occupational therapy, physical therapy, public health, or speech/audiology. Depending on the educational background of the applicant, admission may be contingent upon completion of selected prerequisite coursework.
Special Application Requirements:
In addition to completing and submitting the University's online application (which includes submission of a personal statement, diversity statement, and upload of CV/resume), applicants must submit the following materials: report of GRE General Test scores (scores in the 50th percentile or higher are preferred); transcripts from all institutions attended; three letters of recommendation; and TOEFL and/or IELTS scores for international students. Student must also have an agreed-upon faculty adviser at the time of application. Compatibility of research interest is a major determinant in the student/adviser relationship. For further information regarding these requirements, contact Program Administrator, Rich Adamczak, via email at adamc002@umn.edu.
Applicants must submit their test score(s) from the following:
  • GRE
    • General Test - Verbal Reasoning: 153
    • General Test - Quantitative Reasoning: 155
    • General Test - Analytical Writing: 4.0
International applicants must submit score(s) from one of the following tests:
  • TOEFL
    • Internet Based - Total Score: 88
    • Internet Based - Listening Score: 21
    • Internet Based - Writing Score: 21
    • Internet Based - Reading Score: 21
    • Internet Based - Speaking Score: 23
  • IELTS
    • Total Score: 6.5
The preferred English language test is Test of English as Foreign Language.
Key to test abbreviations (GRE, TOEFL, IELTS).
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
16 credits are required in the major.
20 credits are required outside the major.
24 thesis credits are required.
This program may be completed with a minor.
Use of 4xxx courses towards program requirements is not permitted.
A minimum GPA of 3.00 is required for students to remain in good standing.
At least 1 semesters must be completed before filing a Degree Program Form.
Core Courses
All students must complete the core courses.
Take 6 or more credit(s) from the following:
· RSC 5106 - Introduction to Rehabilitation Science (1.0 cr)
· RSC 5206 - Academic Ethos (1.0 cr)
· RSC 5306 - Scientific and Professional Presentation (1.0 cr)
· RSC 8106 - Critical Analysis of Scientific Literature (2.0 cr)
· RSC 8206 - Grant Writing (2.0 cr)
· RSC 8306 - Peer Review and Publication (2.0 cr)
Additional RSC Courses
Take at least 10 credits from the following courses, upon consultation with advisor:
RSC 5xxx
RSC 8xxx
Statistics Requirement
Take at least 8 credits of statistics from the following options, or choose 8 statistics credits in consultation with advisor:
Public Health Statistics Series
PUBH 6450 - Biostatistics I (4.0 cr)
PUBH 6451 - Biostatistics II (4.0 cr)
or Educational Psychology Statistics Series
EPSY 8261 {Inactive} (3.0 cr)
EPSY 8262 {Inactive} (3.0 cr)
Elective Courses
Take at least 12 credits in consultation with advisor. Electives can include a combination of RSC coursework and courses from other disciplines.
Joint- or Dual-degree Coursework:
DPT/PhD Students may take a total of 18 credits in common among the academic programs.
 
More program views..
View college catalog(s):
· Medical School

View future requirement(s):
· Fall 2022
· Fall 2020
· Spring 2019

View sample plan(s):
· Rehabilitation Science PhD Sample Plan - Muscle Adaptation
· Rehabilitation Science PhD Sample Plan - Neuroplasticity
· Rehabilitation Science PhD Sample Plan - Muskuloskeletal and Biomechanics
· Rehabilitation Science PhD Sample Plan - Therapeutic Interventions

View checkpoint chart:
· Rehabilitation Science Ph.D.
View PDF Version:
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RSC 5106 - Introduction to Rehabilitation Science
Credits: 1.0 [max 1.0]
Typically offered: Periodic Fall
This is one of a series of seminar courses that prepares students to think critically in reading and discussing the literature in rehabilitation science and to speak and write persuasively on scientific topics. This semester, the seminar will focus on the past, present, and future of rehabilitation science. This course will include lecture presentations from rehabilitation science faculty for the first 50 minutes of the weekly class time, as well as discussion/interaction sessions planned jointly by assigned students and faculty for the second 50 minute session each week.
RSC 5206 - Academic Ethos
Credits: 1.0 [max 1.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Explicit/implicit culture unique to academia. Early understanding within/beyond rehabilitation science. Role of higher education in society, academic freedom, tenure, corporatization of education, accreditation, globalization of education, regulatory monitoring of research, faculty scholarship/governance.
RSC 5306 - Scientific and Professional Presentation
Credits: 1.0 [max 1.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
This course will focus on the process and practice of oral presentation of scientific inquiry and discoveries. These skills are essential for scientists in all disciplines, yet often guidelines for optimal scientific presentation are not taught or practiced in an educational setting. Specific areas to be covered in this course include presentation intent, audience analysis, timing, content, keys to effective communication, vocal behavior, and important things to avoid. Context will include conference-style platform or podium presentations, poster presentations, and seminar presentation. The course will involve opportunities to prepare and practice presentation skills and receive constructive feedback in a safe, supportive environment. It is appropriate for students from all disciplines and levels of PhD study.
RSC 8106 - Critical Analysis of Scientific Literature
Credits: 2.0 [max 2.0]
Typically offered: Periodic Fall
This course will focus on the process of critical review, appraisal, and synthesis of scientific literature. Overview of organizing and writing literature reviews for a traditional dissertation, systematic reviews, and peer review for scientific manuscripts will be included. The course will involve substantive review of the literature and writing in your anticipated area of dissertation work.
RSC 8206 - Grant Writing
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall
Process of applying for individual National Institutes of Health (NIH) pre-doctoral research training fellowship. Overview of NIH Program Announcement PA-11-111/NIH SF424 individual fellowship application guide required for application will be included. Substantive writing of components of NIH fellowship.
RSC 8306 - Peer Review and Publication
Credits: 2.0 [max 2.0]
Grading Basis: OPT No Aud
Typically offered: Periodic Spring
This course will focus on the process of publication in the scientific literature, with emphasis on publication of original research. Overview of organizing and writing for publication, and the peer review process for scientific manuscripts will be included. The course will involve substantive writing practice in your anticipated area of scientific inquiry.
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
This course will cover the fundamental concepts of exploratory data analysis and statistical inference for univariate and bivariate data, including: ? study design and sampling methods, ? descriptive and graphical summaries, ? random variables and their distributions, ? interval estimation, ? hypothesis testing, ? relevant nonparametric methods, ? simple regression/correlation, and ? introduction to multiple regression. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [College-level algebra, health sciences grad student] or instr consent
PUBH 6451 - Biostatistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
This course will cover more advanced aspects of statistical analysis methods with a focus on statistical modeling, including: ? two-way ANOVA, ? multiple linear regression, ? logistic regression, ? Poisson regression, ? log binomial and ordinal regression, ? survival analysis methods, including Kaplan-Meier analysis and proportional hazards (Cox) regression, ? power and sample size, and ? survey sampling and analysis. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent