Provides healthcare domain knowledge, healthcare data understanding, and data science methodologies to solve problems. Understand data types, models, and sources, including electronic health record data; health outcomes, quality, risk, and safety data; and unstructured data, such as clinical text data; biomedical sensor data; and biomedical image data. Querying with SQL, data visualization with Tableau, and analysis and prediction with Python.

Provides a foundation in discrete mathematics, data structures, algorithmic design and implementation, computational complexity, parallel computing, and data integrity and consistency. Case studies and exercises will be drawn from real-world examples (e.g., bioinformatics, public health, marketing, and security).

Provides an in-depth exploration of probabilistic and statistical methods used to understand, quantify, and manage uncertainty. Learn foundational concepts in probability and statistics, simulation techniques, and modern approaches to parameter estimation, decision theory, and hypothesis testing. Topics include parametric and nonparametric methods, Bayesian and frequentist paradigms, and applications of uncertainty in real-world problems. 

Equips students with some of the most used deep learning architectures. Explore feed-forward networks, convolutional neural networks, UNETs, encoders-decoders, generative adversarial networks and transformers. Analyze tools of explainable AI. Focused on climate applications, apply these techniques to real-world data, solving problems in prediction, pattern recognition, and data-driven insights.

Focuses on principles & theories of law related to healthcare delivery, management & administration. Examines the application of laws on healthcare liability prevention & the risks managers face. Explores legal & ethical issues in healthcare systems; and investigates the healthcare administrator as decision-maker, leader and moral agent. Evaluates situations with potential ethical/legal implications.

An introduction to essential programming concepts, structures, and techniques. Students will gain confidence in not only reading code, but learning what it means to write good quality code. Additionally, essential and complementary topics are taught, such as testing and debugging, exception handling, and an introduction to visualization. This course is project based, consisting of a semester project and final project presentations.

Focuses on the unique integration of public health and healthcare systems. Provides students with key knowledge and skills to effectively promote health and prevent disease, while navigating public health and healthcare challenges. Emphasizes the identification of populations at risk; evidence-based care, care coordination, patient and community engagement, and reporting of outcomes. Prereq: Bachelor's Degree

Introduces students to various styles and theories of leadership. Through self-assessment and guided inquiry, students examine and create their own unique style of leadership. Students will develop approaches to adapt and modify leadership styles to various situations and individual personalities to influence organizational outcomes.

Intensive work in poetry writing, for students with prior experience. May be repeated with different instructor. For instructions on how to apply to this class, see www.engl.virginia.edu/courses. Prerequisite: Instructor permission.

Focuses on strategic planning and foresight. Uses case studies to explore the challenging role of leaders in different organizational settings and how leaders can strategize for successful outcomes