BW

Brian Wright

Assistant Professor
Department: Data Science School
Office location and address
31 Bonnycastle Dr
Charlottesville, Virginia 22903
Biomedical Data Science Innovation Labs: An Intensive Research Project Development Program
Source: U.S. NIH Institute of General Medical Science
September 16, 2020 – August 31, 2025
Data Science Captone 2019-20 XMODE
Source: X Mode Social Inc
May 15, 2020 – May 14, 2021
LASE 2500: Launchpad
Credits: 1–6
Launchpad (https://aunchpad.virginia.edu/) combines course- and project-based skills training with a focus on the pragmatic ways that liberal arts education prepares students for fulfilling careers. In addition to team-based internships, students will cover topics like design thinking, leadership and collaboration, and the value and application of critical inquiry in the world of work.
DS 3001: Practice of Data Science
Credits: 3
This course exposes students to foundational knowledge in each of the four high level domain areas of data science (Value, Design, Analytics, Systems). This includes an emphasis on ethical issues surrounding the field of data science and how these issues originate and extend into society more broadly.
DS 4001: Practice of Data Science
Credits: 3
This course exposes students to foundational knowledge in each of the four high level domain areas of data science (Value, Design, Analytics, Systems). This includes an emphasis on ethical issues surrounding the field of data science and how these issues originate and extend into society more broadly.
DS 4002: Data Science Project Course
Credits: 3
The data science project course will allow students to take the knowledge gained in each of the four required courses and apply them to a data driven problem. Students will work in groups and can either choose a project provided by SDS faculty or can propose a project for approval. Upon completion of the course students will be required to present their results and publish project content to an open forum.
DS 6001: Practice and Application of Data Science
Credits: 2
This course covers the practice of data science practice, including communication, exploratory data analysis, and visualization. Also covered are the selection of algorithms to suit the problem to be solved, user needs, and data. Case studies will explore the impact of data science across different domains.
DS 6003: Practice and Application of Data Science II
Credits: 1–2
This course covers the practice of data science practice, including communication, exploratory data analysis, and visualization. Also covered are the selection of algorithms to suit the problem to be solved, user needs, and data. Students will use their capstone projects to explore the impact of data science on that domain.
DS 6011: Data Science Capstone Project Work I
Credits: 1
This course is designed for capstone project teams to meet in groups, with advisors, and with clients to advance work on their projects.
DS 6013: Data Science Capstone Project Work II
Credits: 1–2
This course is designed for capstone project teams to meet in groups, with advisors, and with clients to advance work on their projects.