The program launches with a 2.5-day residency in Durham, NC.

Programming for Data Analytics 

Build a foundation in R and Python to prepare for subsequent courses in your program that use these languages. 

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, such as discrete and continuous probability distributions, linear regression, and time series.

Managerial Economics for Health Care

Assess firms' strategies and market outcomes across a wide variety of health care settings using a structured framework. Understand microeconomic concepts, such as pricing decisions, market equilibrium, strategic interaction, and asymmetric information.

Business Fundamentals: Accounting and Finance

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.

Business Fundamentals: Marketing and Strategy

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.

Data Analytics and Applications

Develop deep insights into the modern analytics tools that aid in making data-driven decisions to generate positive business impact. Learn machine learning tools such as regression, classification, dimension reduction, clustering, and cross-validation to start incorporating cutting-edge techniques into your team's workflow.

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.

An optional 2.5-day Leadership Intensive is offered in Durham, NC, after Term 2.

Life Sciences 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  market their products.

Electronic Health Records and Data Structure

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.

Advanced Data Analytics and Applications

Expanding on your Data Analytics & Applications course, study how the most modern data science tools using artificial intelligence can be tailored to address business challenges. Gain a strong foundation in modern trends involving tools such as natural language processing, image recognition, and large language models.

Provider Operation Analysis

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.

Decision Models

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 for optimal business impact.

Value-Based Care

Discover the implications of moving from a traditional fee-for-service model to a variety of value-based models of reimbursement. Assess the merits and costs of value-based models, including 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.

An optional 2.5-day Data Visualization Intensive is offered in Durham, NC, after Term 4.

Analysis of Healthcare Effectiveness and Outcomes

Determining the effect of clinical, policy, and strategic decisions requires an understanding of the statistical techniques necessary to establish causality, the conclusion that one thing is the cause of another. Learn how to design, implement, and interpret causal studies incorporating techniques including fixed effects, instrumental variables, and regression discontinuities.

Navigating Organizations

Prepare to become a more effective leader and manager by learning how to motivate and coordinate individuals within an organization. Discover the systems and managerial skills that maximize an organization's performance within the context of modern leadership challenges.

Business Communication

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.

Ethics and Legal Issues in Health Analytics

Understand the legal, regulatory, and ethical frameworks that shape the use of data within the health care industry. Discuss cases illustrating issues such as patient privacy, intellectual property, use of patient data,  and the use of AI in predictive health care.