Fuqua’s difference comes from our deep expertise in health care. 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 health care leader who can move entire teams forward toward a common purpose as you strengthen your quantitative skills.
Your curriculum includes a mix of courses in business functions; data science and quantitative methods; different health sectors and policies; and a required capstone project.
Business Fundamentals I and II
These courses introduce you to a wide range of principles to ensure you have a basic understanding of issues in accounting, economics, finance, operations management, marketing, and strategy.
Knowing how to analyze and improve performance in organizations and exert your influence for positive results at any level in your organization is important for long-term career success. This course has two goals—to provide a roadmap for understanding how organizations function and to provide basic concepts you can build on throughout your career.
Explore techniques to effectively interact in a business environment, including presentation of technical reports, interacting with clients, running meetings and business etiquette. You’ll also explore change management, cultural differences, and interviewing skills.
Applied Probability and Statistics
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.
Decision Analysis and Modeling
Gain an overview of modeling frameworks and the art and science of modeling decisions. You’ll learn about decision trees for structuring decision problems under uncertainty, Monte Carlo simulation for simulating decision situations with many uncertainties, and optimization for finding the best possible solution in problems with many decision variables and constraints.
Machine Learning and Predictions
Understand the range of machine learning techniques that support classification and predictions.
Design and Analysis of Experiments
This course focuses on the design of lab and field experiments as well as the analysis of experimental data.
Explore techniques to effectively communicate information about data using graphical means. You will utilize popular data visualization tools such as Tableau, Crystal Report, and/or R.
Electronic Health Records and Data Structures
In this course, you’ll explore the fundamentals of data storage, cleansing, retrieval, and interoperability for electronic health records and traditional data in order to facilitate data usage within and across organizations.
Health Care Institutions and Policy
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.
Biotechnology and Pharmaceuticals Strategy
Looking at a drug’s life cycle from innovation to generic competition, you’ll focus on issues in research and development including selecting molecules and markets; leadership and regulatory compliance; pricing and reimbursement; and competition following patent expiration.
Provider Operations and Strategy
Strategies for hospitals and other provider networks to successfully manage constrained resources and operations.
Integrated Care Management
Introduction to new payment and patient-centered delivery models as well as other insurance and reimbursement issues.
Analysis of Healthcare Quality and Outcomes
Methods to analyze to quality of healthcare outcomes as well as other financial and patient/customer satisfaction outcomes.
Global Health Systems
Major global health problems and comparative analysis of major health care systems.
Ethics and Legal Issues in Health Analytics
Understand the range of legal, policy, and ethical implications stemming from the use and analysis of health data.
In the fifth term, one of your courses consists of a team capstone project, where you'll solve a business problem or capitalize on a business opportunity using a simulated environment. You'll experience the importance of both the strength of your analysis and your ability to clearly communicate your results. The project will require you to strategize with your team, use your quantitative skills to solve business problems, and collaborate on your final presentation.
Your faculty will bring courses to life through lectures, class discussions, and case-based learning. Professors use actual business problems, leverage interdisciplinary perspectives, and help you understand the "Data to Design" cycle. The case-based learning method uses real-world business cases as the basis for discussions and team projects. This approach challenges you to see business problems from a corporation's perspective and to take what you learn in class to develop quantitatively supported recommendations. Because so much of your learning happens through debate and analysis, you’re expected to be an active participant in class discussion. As a result you’ll learn to think practically, critically, and creatively, preparing you to tackle business problems from multiple perspectives.
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.