DS 8998
Master's Level Thesis Research
Course Description
Engages students in identification of a research question, a review of the literature and the application of an existing data science tool or technique (algorithm) to that problem. This is a mentored experience and will allow the student to demonstrate their capacity for research and begin to develop a relationship with a faculty mentor in Data Science. Course requires instructor permission.
Instructors
Aaron Abrams
Fall 2026
Prince Afriyie
Fall 2026
Chirag Agarwal
Fall 2026
YY Ahn
Fall 2026
Loreto Alonzi
Fall 2026
Rafael Alvarado
Fall 2026
Stephen Baek
Fall 2026
Hannah Bako
Fall 2026
Peter Beling
Fall 2026
Jeffrey Blume
Fall 2026
Don Brown
Fall 2026
Jordan Bryan
Fall 2026
Tyler Cody
Fall 2026
Mai Dahshan
Fall 2026
David Danks
Fall 2026
Farhana Faruqe
Fall 2026
Judy Fox
Fall 2026
Alex Gates
Fall 2026
Daniel Graham
Fall 2026
Gianluca Guadagni
Fall 2026
Tom Hartvigsen
Fall 2026
Teague Henry
Fall 2026
Mar Hicks
Fall 2026
John Horn
Fall 2026
Terence Johnson
Fall 2026
Jonathan Kropko
Fall 2026
Natalie Kupperman
Fall 2026
Lei Li
Fall 2026
Sheng Li
Fall 2026
Neal Magee
Fall 2026
Cheng Peng
Fall 2026
Paul Perrin
Fall 2026
Michael Porter
Fall 2026
Javier Rasero
Fall 2026
Jess Reia
Fall 2026
Heman Shakeri
Fall 2026
Karsten Siller
Fall 2026
Mona Sloane
Fall 2026
Thomas Stewart
Fall 2026
Adam Tashman
Fall 2026
Stephen Turner
Fall 2026
Brian Wright
Fall 2026
Jianxin Xie
Fall 2026
Nur Yildirim
Fall 2026
Aiying Zhang
Fall 2026
William Basener
Fall 2025
John Van Horn
Spring 2025