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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.

Gianluca Guadagni

Fall 2026
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GPA

Lei Li

Fall 2026
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GPA

Rafael Alvarado

Fall 2026
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GPA

Peter Beling

Fall 2026
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GPA

Karsten Siller

Fall 2026
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GPA

Jonathan Kropko

Fall 2026
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GPA

Stephen Turner

Fall 2026
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GPA

Daniel Graham

Fall 2026
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GPA

Michael Porter

Fall 2026
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GPA

Natalie Kupperman

Fall 2026
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GPA

Brian Wright

Fall 2026
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GPA

John Horn

Fall 2026
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GPA

Prince Afriyie

Fall 2026
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GPA

Don Brown

Fall 2026
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GPA

Loreto Alonzi

Fall 2026
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GPA

Neal Magee

Fall 2026
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GPA

Terence Johnson

Fall 2026
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GPA

Adam Tashman

Fall 2026
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GPA

Teague Henry

Fall 2026
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GPA

Judy Fox

Fall 2026
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GPA

Stephen Baek

Fall 2026
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GPA

Jess Reia

Fall 2026
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GPA

Paul Perrin

Fall 2026
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GPA

Thomas Stewart

Fall 2026
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GPA

Aaron Abrams

Fall 2026
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GPA

Jianxin Xie

Fall 2026
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GPA

Mona Sloane

Fall 2026
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GPA

Farhana Faruqe

Fall 2026
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GPA

Heman Shakeri

Fall 2026
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GPA

Aiying Zhang

Fall 2026
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GPA

Sheng Li

Fall 2026
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GPA

Jeffrey Blume

Fall 2026
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GPA

Alex Gates

Fall 2026
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GPA

Tom Hartvigsen

Fall 2026
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GPA

Javier Rasero

Fall 2026
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GPA

Mar Hicks

Fall 2026
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GPA

Mai Dahshan

Fall 2026
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GPA

Nur Yildirim

Fall 2026
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GPA

Chirag Agarwal

Fall 2026
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GPA

Hannah Bako

Fall 2026
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GPA

YY Ahn

Fall 2026
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GPA

Jordan Bryan

Fall 2026
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GPA

Tyler Cody

Fall 2026
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GPA

David Danks

Fall 2026
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GPA

Cheng Peng

Fall 2026
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GPA

William Basener

Fall 2025
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GPA

John Van Horn

Spring 2025
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GPA