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DS 8998

Master's Level Thesis Research

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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.


  • Gianluca Guadagni
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    Spring 2026

  • Lei Li
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  • Rafael Alvarado
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  • Peter Beling
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  • Karsten Siller
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  • Jonathan Kropko
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  • Stephen Turner
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  • Daniel Graham
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  • Michael Porter
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  • Natalie Kupperman
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  • Brian Wright
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  • John Horn
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  • Prince Afriyie
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  • Don Brown
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  • Loreto Alonzi
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  • Neal Magee
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  • Terence Johnson
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  • Adam Tashman
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  • Teague Henry
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  • Judy Fox
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  • Stephen Baek
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  • Jess Reia
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  • Paul Perrin
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  • Thomas Stewart
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  • Aaron Abrams
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  • Jianxin Xie
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  • Mona Sloane
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  • Farhana Faruqe
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  • Heman Shakeri
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  • Aiying Zhang
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  • Sheng Li
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  • Jeffrey Blume
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  • Alex Gates
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  • Tom Hartvigsen
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  • Javier Rasero
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  • Mar Hicks
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  • Mai Dahshan
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  • Nur Yildirim
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  • Chirag Agarwal
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  • Hannah Bako
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  • YY Ahn
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  • Jordan Bryan
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  • Tyler Cody
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