Provides basic overview of economic and financial management concepts in healthcare. Introduces important economic concepts and issues in healthcare, including market factors, production, costs, labor issues, and economic evaluation. Provides an overview of basic financial management principles, capital planning and financing, financial statements, and budgeting in healthcare organizations. Prerequisite: Admission to Grad Certificate Program.

This course examines ethical, social justice and legal issues related to sexual health and reproduction, including topics such as personhood; consequences of overturning Roe; obstetrical violence & coerced medical interventions; genetic selection and enhancement; infertility & assisted reproduction; research with pregnant persons; fertility preservation in transgender youth; gender norms; power & health inequalities; AI, Big Data & reproduction.

Moves through individual, group, and organizational levels of behavior, drawing on concepts and practices from the field of Organizational Behavior (OB). Provides a basic understanding of one's own and others' behavior, particularly in teams, and enhances students' ability to communicate and work effectively with others, including core leadership skills. Prerequisites: Admission to HSM Graduate Certificate; and completion of PSHM 5010 or 5020.

Examines how informatics in the healthcare industry improves patient care, health outcomes, efficiency, quality & evidence-based decision making; evaluates challenges and strategies for healthcare managers in implementing health information systems & their costs, benefits, and impacts in healthcare organizations. Analyzes key issues in data management, security, privacy and confidentiality. Prerequisite: Admission to HSM Graduate Certificate

Independent research for undergraduate students enrolled in the BA/BS/MPH 5 year program or other programs that may be related to Public Health or Ethics.

Introducing the questions, methods, and arguments that organize work in the Environmental Humanities (EH), this graduate seminar is open to MA and PhD students from any discipline, including the sciences and social sciences. There are no prerequisites. ENVH 6000 serves as the required course for the Graduate Certificate in Environmental Humanities, yet is open to graduate students not pursuing the Certificate.

This interdisciplinary course introduces students to advanced research methods for investigating issues in European Studies. Each student will develop a research proposal and paper on a specific disciplinary topic under the supervision of a faculty member in that discipline, with the requirement that the paper include significant insights from at least one other discipline.

Designed for capstone project teams to meet in groups with advisors and clients to advance work on their projects. Capstone course is for MSDS students.

Comprehensive introduction to predictive modeling, a cornerstone of data science and machine learning. Learn the fundamental concepts, techniques, and tools used to build models while emphasizing both theoretical understanding and practical applications. The topics include we will cover are an in-depth analysis of linear models and different variants, their extension to generalized linear models, and an introduction to nonparametric regression.

Introduces physics-aware deep learning (PADL), an emerging approach that embeds physical laws into neural networks for accurate, efficient modeling. Topics include differential equations, physics-informed neural networks, neural operators, and PyTorch implementation. Students gain both theoretical foundations and practical skills to apply PADL across disciplines.