Curriculum: MS Pharm Sci: Healthcare Operational Excellence

Next Term Application Deadline

12.15.2024

Total Credits

Next Term Starts

01.13.2025

Application Fees Are Waived for Spring 2025

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*This program is now enrolling for Summer 2025.

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Curriculum at a Glance

Have questions? Speak with an Enrollment Advisor today!

CURRICULUM AT A GLANCE

Foundation Courses Fall Core Courses Spring Core Course Summer Core Courses Capstone Course Electives

Students will take these courses in their first semester. These courses will be offered every semester

Course	Title / Description	Credit
PCEU 7010	Biostatistics & Research Methods Course: PCEU 7010 Credit: 3 The course begins with basic statistical concepts, introduces essential descriptive and inferential statistical tests, demonstrates some data analysis tools and collection instruments, then discusses common research methodology for pharmaceutical and cosmetic sciences. Students will learn how to use statistics and research designs to evaluate scientific evidence to make individual and population-based decisions. Students will conduct some simple statistical analysis based on given data sets and interpret the results, as well review clinical research literature.	3
PADM Lean Six Sigma I	Course: PADM Lean Six Sigma I Credit:

These core courses will only be offered in the fall semester

Course	Title / Description	Credit
PADM Operating System Analysis and Improvement	Course: PADM Operating System Analysis and Improvement Credit:

These core courses will only be offered in the spring semester

Course	Title / Description	Credit
PADM Lean Six Sigma II	Course: PADM Lean Six Sigma II Credit:
PADM Lean Six Sigma III	Course: PADM Lean Six Sigma III Credit:

This core course will only be offered in the summer semester

Course	Title / Description	Credit
PCEU 7050	Ethics in Scientific Research- Pharmacy Course: PCEU 7050 Credit: 1 Students will learn about the various ethical and moral issues that are often encountered in scientific research including ways to identify and analyze them in the practice of research. The course is designed as an option to meet the NIH and NSF requirements for training in RCR (Responsible conduct of research). Topics to be covered include: RCR principles and guidelines, mentorship, collaborative research, conflict of interests, authorship and plagiarism, intellectual property and data handling, research involving human and animal subjects, scientific integrity and misconduct and social responsibility.	1
PADM 7050	Pharmacoeconomics & Decision Analytical Modeling Course: PADM 7050 Credit: 3 This course is designed to provide an understanding of the theory and application of economic evaluation methods used in healthcare decision-making. Various methods such as cost-effectiveness analysis, cost-utility analysis, cost-minimization analysis, and cost-benefit analysis will be discussed to evaluate healthcare services, pharmaceuticals, and medical device products. Additionally, techniques to measure costs and outcomes will be discussed in detail along with assigning the monetary value to outcomes. Different types of models such as decision trees and Markov models will be taught. Students will have a chance to conduct independent group projects using a decision-analytic software package by which they will be able to conduct a cost-effectiveness analysis to compare different therapeutic options.	3

Students will take this course in the last semester. This course will be offered every semester.

Course	Title / Description	Credit
PADM Capstone	Course: PADM Capstone Credit:

Students will choose electives based on the educational and career goals in their fall, summer, and capstone semesters. Please work with your student success coordinator to determine when these courses will be available.

Course	Title / Description	Credit
CS 60101	Course: CS 60101 Credit:
CS 6033	Artificial Intelligence Course: CS 6033 Credit: 3 The course will cover in detail the topics of state space search, game tree search, constraint satisfaction, logic based knowledge representation and reasoning, first order predicate calculus, uncertainty handling using Bayesian probability theory, and some applications of these techniques.Applications may be selected from the area s of automated planning, natural language processing, or machine learning.	3
CS 6037	Machine Learning Course: CS 6037 Credit: 3 The goal of this course is to introduce students to the field of Machine Learning. The course covers traditional machine learning algorithms, and their implementations along with discussions of concrete problems where these algorithms are suitable. Topics covered by course include: Concept Learning and the General-to-Specific Ordering Decision Tree Learning Artificial Neural Networks Evaluating Hypotheses/Bayesian Learning Computational Learning Theory Instance-Based Learning Genetic Algorithms Learning Sets of Rules Analytical Learning Combining Inductive and Analytical Learning Reinforcement Learning.	3
CS 6052	Intelligent Data Analysis Course: CS 6052 Credit: 3 This course will introduce students to the theoretical and practical aspects of the field of data mining. Algorithms for data mining will be covered and their relationships with statistics, mathematics, and algorithm design foundations will be explored in detail.	3
CS 6065	Introduction to Cloud Computing Course: CS 6065 Credit: 3 The course will cover the following topics: 1. Introduction and Historical perspectives 2. Cloud Models: IaaS, PaaS, SaaS. 3. Underlying technologies: Networking, Internet Architecture, Virtualization 4. Distributed System Concepts 5. MapReduce Paradigm & Hadoop 6. Cloud Applications & Architectures 7. Modern Case Studies in Hadoop and Cloud Applications 8. Designing Applications for the Cloud 9. Cloud Security 10. Public cloud offerings	3
ENGR 6032	Industry 4.0 Domains of Knowledge Course: ENGR 6032 Credit: 3 Industry 4.0 describes the evolution of industry toward inter-connectivity, automation, machine learning, and basing decisions on real-time data acquisition. The course provides students a broad understanding of the industrial internet of things (IIOT) which encompasses physical production and operations with smart digital technology, machine learning, and big data analysis to create a connected ecosystem for organizations that focus on manufacturing and supply chain management.	3
ENGR 6045	Interdisciplinary Innovation for Engineers Course: ENGR 6045 Credit: 3 Interdisciplinary Innovation for Engineers provides students in technical disciplines a practical and focused set of innovation competencies and processes that are needed to add high-order value to all organizations in a dynamic economy. This interdisciplinary course will enable students to develop foundational attitudes, skills, and knowledge for both core business and engineering innovation functions. This course is designed as a practical, systems-oriented, meaningful experience for learning future-oriented competencies to contribute to all types of organizations while accelerating career enhancement.	3
MECH 6052	System Safety Engineering Course: MECH 6052 Credit: 3 Presents an introduction to the field of system safety engineering. Explores fundamental concepts of risk, and analysis of systems to recognize, assess, and control hazards. Imparts knowledge of commonly accepted hazard identification and risk analysis techniques, demonstrates the relevance ofthese techniques to engineering practice, and provides opportunities to apply the techniques through case studies and a project assignment. Techniques include preliminary hazard analysis (PHA), failure mode and effects analysis (FMEA), hazard and operability studies (HAZOP), managementoversight and risk tree (MORT), and job safety analysis (JSA).	3
MECH 6074	Quality Control Course: MECH 6074 Credit: 3 Examines the processes and the techniques used to ensure quality of an item, a system, a process, oran engineering endeavor. The topics of total quality management, statistical process control, and quality systems are explored. Also, the historical development and current trends in quality are examined.	3
EECE 6023C	Security & Trust for Cyberphysical Systems Course: EECE 6023C Credit: 4 Cyber-physical systems integrate computation, communication, and physical processes. They interact with the world in real time. With the growth of powerful networks and the Internet of Things (IoT), these systems are charged with performing many tasks for which reliability, safety, and security are critical. This course focuses on the development of trusted cyber-physical systems, which can be counted on to perform their tasks at defined levels of reliability, safety, and security.	4
PHLD 8040	Medication Use System Management Course: PHLD 8040 Credit: 3 This course covers the elements of the medication use system and will assist students in developing skills to assume a leadership role in devising and implementing process improvements of use of health care technologies (electronic health record, bar codes, robotics, smart devices) in the medication system along with HIT standards for interface and integration, and mobile health technologies. Students will gain an understanding of personal health records and models of community and regional information networks. Course content will include activities in workflow process mapping and workflow redesign, project management, and processes for documentation and coding.	3
PHLD 8050	The Healthcare MarketPlace- Pharmacy Economics Course: PHLD 8050 Credit: 3 This course provides an overview of economics and marketplace topics related to pharmacy, with particular emphasis on topics relevant to the pharmaceutical industry and health benefit payment models. This course will provide an introduction to the fundamentals of Pharmacoeconomics and outcomes research. Pharmacy business aspects of pharmaceutical regulation and pricing, contracts and purchasing models, group purchasing organizations, MTM reimbursement, specialty pharmacy, and value based clinical and financial models for future health care delivery will all be addressed in the course content. Innovation and marketing will also be included with cases and application activities.	3
PHLD 8010	Leading Quality Management in Pharmacy Course: PHLD 8010 Credit: 3 This course present students with a comprehensive overview of quality management principles, concepts and tools used in healthcare with a special emphasis in pharmacy practice. Through an analysis of pharmacy -related cases, students will have the opportunity to evaluate the relationship between leadership principles and quality improvement. Topics include quality performance measurement, culture of quality, techniques for quality leadership, patient engagement in quality and the use of technology in quality improvement.	3
PHLD 8070	Accounting and Financial Decision- Making for Pharmacy Leaders Course: PHLD 8070 Credit: 3 This course covers selected financial and managerial aspects of healthcare financial management, specifically designed for Pharmacists. It provides a broad introduction to key concepts, issues, tools, and vocabulary useful for managers, department heads, and owners. There are three main topic areas covered in the course: financial accounting; finance; and managerial accounting. The focus is on the understanding and application of the accounting information in healthcare with emphasis on addressing use within the pharmacy.	3

FAQs

How are the classes structured/what is “asynchronous?”

What is asynchronous online learning? Fully asynchronous courses allow you flexibility in your schedule. Once enrolled in a program, you may view instructional materials when it works best for you as long as you meet course deadlines. There is no live video lecture component for this type of learning. For more information on asynchronous learning visit our blog post: Synchronous and Asynchronous Learning

Once enrolled, you’ll use tools like Canvas and meet with your Student Success Coordinator on a regular basis to ensure you’re on track to graduate. Learn more about the UC Online experience in the video below.
Do online students get student IDs?

Yes. Our online students are no different from our on-campus students in that way. You get a specific ID that you can use to navigate different systems at UC and for potential student discounts.
Will my degree say UC Online?

No. your degree will be conferred by the University of Cincinnati, which will also be reflected on your transcripts and degree.