Analysis through an industry lens
Preparing you for data-based problem-solving in the healthcare sector, the MQM: Health Analytics curriculum blends management education with quantitative analytics and health sector knowledge.
Fuqua’s difference comes from our deep expertise in healthcare. With one of the largest and oldest health sector management programs in the country, here you’ll focus on understanding market fundamentals and gain exposure to the complex interactions among industry players. With project work and experiences that take you outside your comfort zone, you’ll become a healthcare leader who can use sophisticated quantitative analysis techniques to move entire teams forward.
Our online health analytics master’s program includes a mix of courses in business functions; data science and quantitative methods; different health sectors and policies; and a required capstone project. While the course sequence and timing may shift between calendar years, the typical MQM: Health Analytics structure looks like this:
Term 1 courses
Assess firms' strategies and market outcomes across a wide variety of settings, focusing on healthcare, in a structured framework. Understand microeconomic concepts, such as pricing decisions, market equilibrium, strategic interaction, and asymmetric information.
Gain an overview of the US healthcare market along with its institutions and key policy issues. You’ll examine the primary commercial segments of the industry including pharmaceutical companies, biotechnology, long-term care facilities, and health IT.
Examine a framework for data-driven decision making under conditions of partial information and uncertainty. You’ll acquire probabilistic and statistical tools for understanding, analyzing, and interpreting data, such as discrete and continuous probability distributions, linear regression, and time series.
Term 2 courses
Cover the basics of financial accounting and finance. Determine the information requirements of a firm and the activities they take within the accounting system to address them. Gain a working knowledge of fundamental finance concepts and tools, such as Net Present Value, for analyzing investment and financing decisions of individuals and firms.
Gain an overview of marketing and strategy and their roles in a business. Review issues and decisions involved in planning and managing activities, such as positioning, targeting, pricing, product development, distribution, customer behavior, and competitive activity. Learn concepts and skills to understand, craft, and support a firm's strategy.
Examine business strategy in the biotech, device, diagnostic, and pharmaceutical industries, focusing on product development and commercialization. Learn how companies develop product roadmaps, demonstrate safety and efficacy to regulators, payers, and providers, commercialize their products, justify the product's price/value equation, and how they market these products.
Investigate how to use data to impact business practices by understanding the interplay between data science and business decisions. Study principles that will stay constant despite rapidly changing technology, and conduct "hands-on" analyses of actual data sets to learn methodologies such as data mining, advanced regressions, classification, clustering, and cross-validation.
Term 3 courses
Learn and practice techniques to communicate effectively--clearly, strategically, persuasively, and collaboratively--in a business setting. Hone your skills in team presentations by learning to present recommendations that hold up to challenges, present with one voice, structure for coherence, ask and answer questions, and enhance audience understanding of materials.
With access of the healthcare ecosystem to vast amounts of data, you'll focus on the analysis of real-world observational data to draw inferences about the effectiveness of interventions at patient or community levels. Study potential confounding factors and quasi-experimental methods, and understand how to mitigate their effects.
Expanding data availability, improving computational power, and designing of digital- and data-centric organizations have fostered more data-driven business decisions. Learn advanced tools, algorithms, and technologies and explore causal inference, experimental and observational studies, text-mining, and advanced predictive models.
In this course, you’ll explore the fundamentals of data storage, cleaning, and retrieval with a special focus on electronic health records. Examine structured and unstructured data, data integrity, data security, and interoperability issues.
Term 4 courses
Conducting useful quantitative analyses in organizations requires overcoming cognitive biases and working well with others. Learn what principles you can draw on to analyze and improve performance in your organization as well as what to do to be an effective leader and contributor to your firm who others respect and are willing to follow.
Discover the implications of moving from a traditional fee-for-service model to a variety of value-based models of reimbursement and find their relative merits. Assess the components of a value-based model, such as coordination of care, patient compliance, social determinants of health, and the selection and definition of specific outcomes, data and measurement, and analysis of observed data.
Use limited resources more effectively and increase patient satisfaction. Understand congestion and wait times, explore managing an inventory of drugs and medical supplies, understand how to maintain high and consistent quality of care to patients, and find strategies to address these issues. Learn capacity planning, scheduling, queueing and inventory analyses, and lean and six-sigma implementation.
In the first of a two-part course, you will work in teams to apply what you've learned in the MQM program to a real-world problem. This part of the course will focus on problem formulations and data preparation, as well as cover data visualization.
Term 5 courses
Effective management requires recognizing when a decision is needed, what factors impact that decision, and choosing a path. However, many decisions are so complex that they are difficult to grasp fully, or the stakes are too high to learn by experience. Learn about decision models, or simplified representations of these situations that allow different scenarios to be evaluated, that will be of great benefit in these situations.
Examine the issues in bioethics and the law, including decisions made by providers, payers, and product manufacturers. Discuss cases illustrating issues in patient privacy, data ownership, restrictions on data analysis, new technologies' implications for science policy, end-of-life care, and rationing of scarce drugs, organs, and other resources.
In the second part of this two-part course, you'll continue to work on the project your and your team selected in the first Capstone Project course. Your focus will be on analysis, report-writing, and presentation.
Fuqua is serious about ethical leadership and we create a climate of integrity. All members of our community are governed by Fuqua's Honor Code. By electing to join our community, in turn, you will be expected to abide by our standards of honesty and integrity.
To learn more about the online MQM: Health Analytics program and download a free brochure, fill out the fields below. If you have additional questions, please call +1.877.755.1342 to speak with an admission counselor.