Admission criteria for the M.S. in Pharmaceutical Sciences with emphasis in pharmacy administration and the Ph.D. in Pharmaceutical Sciences with emphasis in pharmacy administration are the same. When completing the online graduate application, students should select which program to which they are applying.
Applicants must have a B.S. degree in pharmacy, B.S. degree in pharmaceutical sciences or higher. A degree in a discipline related to marketing, management, economics, epidemiology or other health-related field may also be considered for admission upon demonstration of a commitment to pursuing a career in the field of pharmacy or the pharmaceutical industry.
College transcripts with a minimum of a B average (3.0 on a 4.0 scale) are required. Applicants must take and submit the scores from either the GRE or the GMAT. The University code is 1840. International applicants also must take the TOEFL examination and score at least 600 on the paper-based test; 100 on the internet-based test; or 250 on the computer-based test. The University code is 1840.
Two (2) letters of recommendation, interview, resume, and statement of purpose are used to evaluate candidates. Interested students must apply to the M.S. program online and may find additional application information from the University of Mississippi Graduate School website.
The official transcripts, GRE/GMAT scores, and TOEFL scores must be sent to:
The University of Mississippi
The Graduate School
PO Box 1848
University, MS 38677-1848 USA
The statement of purpose, resume and two letters of recommendation should be submitted with the online application. If you have difficulties submitting the documents with the online application, please mail them to Dr. Marie Barnard at the below address:
|Graduate Program Coordinator||Application Deadline|
|Dr. Marie Barnard
The University of Mississippi
School of Pharmacy
PO Box 1848
Faser Hall, Room 234
University, MS 38677-1848 USA
Applications must be complete by January 15 to guarantee consideration. All applicants meeting the deadline will be considered for admission as well as for a graduate assistantship. However, there are only a limited number of assistantships available.
Curriculum – M.S. in Pharmaceutical Sciences
Required Courses (21 credits)
- PSY 703/EDRS 601/SOC 501-Statistics
- PHAD 679-Primary Data Techniques
- PHAD 687-Secondary Data Techniques
- PHAD 688-Research Methods in Pharmacy Administration
- PHAD 689-Pharmaceutical and Healthcare Policy
- PHAD 792-Drug Development and Marketing
- PHAD 693-Health Economics
3 Electives approved by advisor (9 credits)
Electives may be courses offered in the Ph.D. program or from other departments across campus. Students may take electives from various departments (e.g., economics, education, business, psychology, applied sciences) across campus. Please see the Graduate School catalog for a complete listing of courses offered on campus.
Thesis (PHAD 697) (6 credits)
Other Academic Requirements:
In addition to the course requirements, each student must participate and complete an orientation to the discipline of pharmacy administration and register for departmental seminar (PHAD 543/544) each semester (1 credit hour per semester). Each student must also prepare and successfully defend a thesis prospectus, and complete and defend his or her thesis project.
Description of Pharmacy Administration Graduate Course Offerings
541 & 542. PROBLEMS IN PHARMACY ADMINISTRATION. Investigation of individual problems.
543 & 544. SEMINAR IN CURRENT HEALTH TOPICS. Pharmacy administration departmental
674. RESEARCH IN PHARMACY ADMINISTRATION. Investigation of individual problems.
679. PRIMARY DATA TECHNIQUES. An overview of the primary research techniques used in executing research projects related to pharmaceutical marketing and/or pharmacy management. Included are sampling, instrument development, and data collection using several personal interview and self-administered survey techniques. Prerequisite requirements for this course may also be satisfied by consent of instructor. Prerequisite: PHAD 577 with grade of C.
687. SECONDARY DATA TECHNIQUES. Techniques and principles useful in using secondary data to answer research questions, including data and data source evaluation, accessing and preparing secondary databases, and review of common data types and sources.
688. RESEARCH METHODOLOGY AND TECHNIQUES. An introduction to the research process from project inception to its conclusion. Students will be exposed to issues surrounding the establishment of the problem statement, hypothesis generation and testing, measurement, research design, sampling theory, data collection and analysis, and ethical conduct in research.
689. PHARMACEUTICAL AND HEALTHCARE POLICY. The delivery and financing of pharmaceuticals and pharmacy services; development and implications of pharmaceutical and healthcare policies in the public and private sectors at the federal and state levels.
690. DATA MANAGEMENT AND STATISTICAL SOFTWARE. Overview of data management and a survey of statistical software.
693. HEALTH ECONOMICS. The financing and delivery of health care in the U.S., including economics of health care, economics of the U.S. health care system, and current policy issues including health care expenditures, health care reform, and economics of the uninsured.
698. NON THESIS RESEARCH I AND II.
780. GENERAL LINEAR MODELS. An intermediate-level course in regression analysis methods covering the basic theory and application of the general linear model (GLM) to conduct relevant analyses. Simple and multiple linear regression are extensively covered as well as a number of procedures falling under the general category of analysis of variance (ANOVA). Prerequisite(s): An introductory statistics course at the graduate-level, which covered topics such as: descriptive statistics, applications of basic probability theory, commonly used sampling distributions, hypothesis testing, analysis of two-way contingency tables, one and two sample tests, confidence intervals, correlation and simple linear regression, and introduction to one-way analysis of variance.
781. APPLIED MULTIVARIATE ANALYSIS. An intermediate-level course examining techniques generally considered to be multivariate in nature or having a multivariate approach to analyzing data (e.g., multivariate analysis of variance, repeated-measures analysis of variance, discriminant analysis, logistic regression, cluster analysis, and factor analysis). Prerequisite(s): PHAD 780 (Minimum grade: C) or consent of the instructor.
783. ADVANCED PHARMACEUTICAL MARKETING AND PATIENT BEHAVIOR. Doctoral seminar exploring the factors affecting acceptance, distribution, promotion, and economics of pharmaceutical marketing and the theoretical perspectives in understanding behavior in the medication use process. Prerequisite requirements for this course may be satisfied by equivalent course work as approved by the department or by consent of instructor.
786. PATIENT REPORTED OUTCOMES. The overall objective of this course is to familiarize students with the understanding and application of PRO’s in health services and outcomes research. The course will involve discussion on PRO topics including quality of life and health-related quality of life, generic and disease-specific PRO instruments, health state preferences (values and utilities), patient satisfaction, measurement issues (including applications of classical test theory, item response theory, Rasch analysis), and adherence to therapy.
792. DRUG DEVELOPMENT AND MARKETING. Provide participants with insight into the administrative procedures involved in the developing and marketing of new pharmaceuticals, from discovery through market approval, including both industrial and policy perspectives.
794. PHARMACOECONOMICS. Principles and analytical techniques in assessing the overall value of pharmaceutical products, services, programs and other health care interventions, including hands-on experience of pharmacoeconomic modeling.
795. SPECIAL TOPICS IN PHARMACY ADMINISTRATION. Course designed to cover special topics in pharmacy administration or health care administration in general that are not covered in regular courses and may be suitable for M.S. or Ph.D. students in pharmacy administration or other related disciplines. Examples of recent special topics include: Categorical Data Analysis, Markov Simulation Modeling of Health-Related Events, Longitudinal Data Analysis Methods, and Principles of Statistical Mediation and Moderation.
796. PHARMACOEPIDEMIOLOGY. To familiarize students in pharmacy or other health care fields with the principles of pharmacoepidemiology. Course provides a comprehensive review of research study designs used in the science of pharmacoepidemiology and involves a discussion of primary literature that details case examples of drugs withdrawn from the United States (U.S.) market due to adverse events.
Note this is only a list of graduate courses offered by the Department of Pharmacy Administration. Graduate Students have the opportunity to take courses across campus including courses in the School of Business and School of Applied Sciences.