• ENCW 4350

    Advanced Nonfiction Writing
     Rating

     Difficulty

     GPA

    3.80

    Last Taught

    Spring 2026

    For advanced students with experience in writing literary nonfiction. Involves workshop of student work, craft discussion, and relevant reading. May be repeated with different instructor. For instructions on how to apply to this class, see creativewriting.virginia.edu/ugrad.

  • PSHM 4750

    Organizational Behavior and Leadership in Healthcare
     Rating

     Difficulty

     GPA

    3.80

    Last Taught

    Spring 2025

    Provides a comprehensive analysis of individual and group behavior in organizations, and an understanding of how organizations can be managed more effectively and enhance the quality of employees' work life. Through the examination of leadership topics, explores the skills and knowledge needed to be successful in a diverse healthcare environment in a variety of situations. Prerequisites: Admission to BPHM Program; and completion of PSHM 3010

  • ENTP 1010

    Startup: An Introduction to Entrepreneurship
     Rating

    3.83

     Difficulty

    1.50

     GPA

    3.80

    Last Taught

    Spring 2026

    The Startup class is a fourteen-week course-plus-simulation designed to provide students with not only the basic tools and vocabulary of new ventures, but also a sense of what it feels like to start, fund, and manage such a venture. The course, by way of in-class case discussions, mentored group work, and startup simulations introduces students to a broad range of issues faced by founders and funders of both for-profit and non-profit ventures.

  • LPPP 5500

    Short Course Topics
     Rating

    3.00

     Difficulty

    2.00

     GPA

    3.80

    Last Taught

    Spring 2026

    Courses examine special topics in public policy and/or leadership.

  • EGMT 1540

    Ethical Engagement
     Rating

    3.28

     Difficulty

    2.21

     GPA

    3.81

    Last Taught

    Spring 2026

    In this class students will learn to reflect upon and evaluate human conduct and character, consider the ethical components of individual and collective behaviors, and engage in the articulation of ethical questions and moral deliberation.

  • LPPP 6001

    Foundational Skills Workshop
     Rating

     Difficulty

     GPA

    3.81

    Last Taught

    Fall 2025

    Leadership and Public Policy foundational skills course.

  • GSVS 2150

    Global Sustainability
     Rating

    4.33

     Difficulty

    2.33

     GPA

    3.81

    Last Taught

    Fall 2025

    This integrated and interdisciplinary course provides foundational knowledge on the multifaceted aspects of both problems and solutions related to sustainability, and challenges participants to deepen their understanding of global sustainability issues through a real-world, collaborative Think Global/ Act Local project.

  • DH 8991

    DH Certificate Core Course: Introduction to Digital Humanities
     Rating

     Difficulty

     GPA

    3.82

    Last Taught

    Fall 2025

    A graduate-level introduction to the history, theory, and methods of the digital humanities, this course is required for the new grad certificate in DH. Students will gain an understanding of the origins of DH, the kinds of work done under that label, the opportunities to participate in DH research at UVa, the research insights offered by DH methods, and the applicability of those methods to the student's own research interests.

  • PSLP 5300

    Foundations of Leadership
     Rating

     Difficulty

     GPA

    3.82

    Last Taught

    Summer 2025

    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.

  • DS 6040

    Bayesian Machine Learning
     Rating

     Difficulty

     GPA

    3.82

    Last Taught

    Summer 2025

    Bayesian inferential methods provide a foundation for machine learning under conditions of uncertainty. Bayesian machine learning techniques can help us to more effectively address the limits to our understanding of world problems. This class covers the major related techniques, including Bayesian inference, conjugate prior probabilities, naive Bayes classifiers, expectation maximization, Markov chain monte carlo, and variational inference. A course covering statistical techniques such as regression.