Data Science in Graduate & Professional Programs at Pitt Summit
“Create Shared Understanding”
Wednesday, May 4, 2022
AGENDA
View information on the Data Science Task Force and its report.
8:45–9:30 a.m.
Welcome & Goals for the Data Science Summit: Vice Provost Amanda Godley
Implications of the DSTF Report for the future of graduate and professional studies at Pitt: Dean Bruce Childers, School of Computing and Information
Innovative Practices of Data Science at Pitt:
- Master of Science with Business Analytics - Katz Graduate School of Business, Dr. Sara Moeller
- Master of Science in Health Informatics with a Data Science Track - School of Health and Rehabilitation Services, Dr. Bambang Parmanto
- Applied Data Driven Methods Certificate - School of Computing and Information, Dr. Adam Lee
9:30 a.m.–10 a.m.
Breakout Group Session I:
Share current and future role of data science in graduate and professional programs in each school/unit.
Prompts:
- How is data science currently integrated into graduate and professional programs in your school/unit?
- What future plans/ideas does your school/unit have for data science-focused graduate and professional programs, experiences or research opportunities?
- What resources do you need to pursue these plans or ideas?
- How might you create joint programs with other schools or departments?
- How are faculty developing and staying current in data science?
- How are you integrating ethics and social responsibility into your data science curriculum and programs?
10 a.m.–10:15 a.m.
Idea-Sharing from Breakout Groups
BREAK
10:30 a.m.–11 a.m.
Breakout Group Session II: Self-selected Issues
Participants self-select into new groups that are issue-focused and discuss ideas and challenges for their topic:
- Developing new data science graduate programs within your school/unit.
- Developing new data science graduate programs across schools.
- Marketing and recruiting for data science programs.
- Developing partnerships with external organizations (such as workforce development).
- Expanding research opportunities in data science for graduate and professional students.
11 a.m.–11:15 a.m.
Idea-Sharing from Breakout Groups
11:15 a.m.–11:30 a.m.
Final Words: Vice Provost Amanda Godley