About This Program
The Master of Science degree in Clinical Epidemiology is a STEM-designated advanced degree that prepares students in the epidemiological and biostatistical methods related to clinical trials and clinical research. Students learn advanced methods of observational and experimental study designs and are able to understand disease prevention, development, prognosis and treatment. In addition, students master and are able to apply good clinical practices, clinical trial design and management, statistical analysis, study monitoring, pharmaceutical research and regulations related to clinical research.
Contact Information
Program Delivery
Examples of Possible Careers and Salaries*
Medical scientists, except epidemiologists
- 6.1% faster than the average
- 138,300 number of jobs
- $91,510 potential earnings
Accreditation
The M.S. degree in Clinical Epidemiology is accredited by the Council on Education for Public Health (CEPH).
* Source of occupation titles and labor data comes from the U.S. Bureau of Labor Statistics' Occupational Outlook Handbook. Data comprises projected percent change in employment over the next 10 years; nation-wide employment numbers; and the yearly median wage at which half of the workers in the occupation earned more than that amount and half earned less.
For more information about graduate admissions, visit the graduate admission website. For more information on international admissions, visit the international admission website.
Admission Requirements
- Bachelor’s degree from an accredited college or university
- Minimum 3.000 undergraduate GPA on a 4.000-point scale
- Official transcript(s)
- Goal statement
- Résumé
- Two letters of recommendation
- English Language Proficiency - all international students must provide proof of English language proficiency (unless they meet specific exceptions to waive) by earning one of the following:1
- Minimum 79 TOEFL iBT
- Minimum 6.5 IELTS score
- Minimum 58 PTE score
- Minimum 110 DET score
Applicants to the program who have limited clinical or science backgrounds may be advised to take additional coursework to prepare them for the field. Determinations will be made by the admissions committee when the student is admitted conditionally to the program.
Application Deadlines
- Fall Semester
- Priority deadline: March 15 (international student)
All application materials (including applicable fee, transcripts, recommendation letters, etc.) submitted by this deadline will receive the strongest consideration for admission. - Rolling admissions (domestic student)
- Spring Semester
- Priority deadline: August 15 (international student)
All application materials (including applicable fee, transcripts, recommendation letters, etc.) submitted by this deadline will receive the strongest consideration for admission. - Rolling admissions (domestic student)
Program Learning Outcomes
Graduates of this program will be able to:
- Conduct patient-oriented research to understand and modify health outcomes.
- Design and carry out epidemiologic studies.
- Analyze clinical data and understand the sources, strengths and limitations of patient data.
- Design and perform clinical trials.
- Interact with human subjects and describe prognosis, therapies and outcomes.
Dual Degree with M.S. in Health Informatics
Students have the opportunity to complete a dual degree program with the M.S. degree in Clinical Epidemiology and the M.S. degree in Health Informatics. A separate application must be submitted for each program. Students can view admission requirements for each program on their respective catalog page.
The fully online dual degree prepares students for careers at the intersection of clinical research, data science, healthcare technology and disease prevention and response. Students learn how to build and manage health data systems and analyze and interpret health data.
Dual Degree Requirements
Course List | Code | Title | Credit Hours |
| BST 62019 | BIOSTATISTICS IN PUBLIC HEALTH | 3 |
| BST 63013 | EXPERIMENTAL DESIGNS IN PUBLIC HEALTH RESEARCH | 3 |
| BST 63014 | APPLIED REGRESSION ANALYSIS OF PUBLIC HEALTH DATA | 3 |
| EPI 62017 | FUNDAMENTALS OF PUBLIC HEALTH EPIDEMIOLOGY | 3 |
| EPI 63016 | PRINCIPLES OF EPIDEMIOLOGIC RESEARCH | 3 |
| EPI 63019 | EXPERIMENTAL DESIGNS FOR CLINICAL RESEARCH | 3 |
| EPI 63020 | ADVANCED EPIDEMIOLOGY AND CLINICAL RESEARCH METHODS | 3 |
| HI 60401 | HEALTH INFORMATICS MANAGEMENT | 3 |
| HI 60402 | LEGAL ISSUES IN HEALTH INFORMATICS | 3 |
| HI 60403 | HEALTH INFORMATION SYSTEMS | 3 |
| HI 60410 | HEALTH RECORDS MANAGEMENT | 3 |
| HI 60411 | CLINICAL ANALYTICS | 3 |
| HI 60414 | HUMAN FACTORS AND USABILITY IN HEALTH INFORMATICS | 3 |
| HI 60636 | STANDARDIZED TERMINOLOGIES IN HEALTHCARE | 3 |
| 1 | 6 |
| 1 | 6 |
| USING R IN PUBLIC HEALTH | |
| USING SAS IN PUBLIC HEALTH | |
| USING EXCEL IN PUBLIC HEALTH | |
| DATA MANAGEMENT AND LOGIC USING SAS® SOFTWARE | |
| PROJECT MANAGEMENT AND TEAM DYNAMICS | |
| SCIENTIFIC WRITING FOR CLINICAL RESEARCH | |
| PHARMACOEPIDEMIOLOGY | |
| REGULATORY AFFAIRS IN CLINICAL RESEARCH | |
| INDIVIDUAL INVESTIGATION IN EPIDEMIOLOGY | |
| EPIDEMIOLOGY OF CHRONIC DISEASES | |
| EPIDEMIOLOGY OF INFECTIOUS DISEASES | |
| FOUNDATIONAL PRINCIPLES OF KNOWLEDGE MANAGEMENT | |
| SEMANTIC ANALYSIS METHODS AND TECHNOLOGIES | |
| DATABASE FUNDAMENTALS FOR INFORMATION PROFESSIONALS | |
| HEALTH INFORMATION RESOURCES | |
| SPECIAL TOPICS IN INFORMATION STUDIES | |
| INFORMATION ARCHITECTURE FUNDAMENTALS | |
| USER EXPERIENCE EVALUATION FUNDAMENTALS | |
1 | |
| EPI 63192 | RESEARCH PRACTICUM IN CLINICAL EPIDEMIOLOGY 2 | 3-6 |
| or EPI 63199 | THESIS I |
| 3-6 |
| MASTER'S INTERNSHIP IN HEALTH INFORMATICS | |
| MASTER'S PROJECT IN HEALTH INFORMATICS | |
| MASTER'S RESEARCH PAPER IN HEALTH INFORMATICS | |
| THESIS I | |
| Minimum Total Credit Hours: | 60 |
