The Ph.D. in Analytics and Data Science is an advanced degree with a dual focus of application and research - where students will engage in real world business problems, which will inform and guide their research interests.
To ensure that our Ph.D. students in Analytics and Data Science are exposed to the latest issues and challenges of working across a wide variety of data contexts, individuals will be required to engage with one (or more) of the dozens of organizations which have agreed to sponsor doctorate-level projects for a minimum of three semesters (9 credit hours of engagement + 15 credit hours of dissertation research). These organizations span the continuum of application domains, including health care, banking, retail, government, and consumer finance. Students will also continue to work with the faculty adviser through their final year of project engagement and dissertation research.
A Ph.D. in Analytics and Data Science will require a formal Dissertation process, involving an interdisciplinary committee, comprised of faculty from Statistics, Computer Science, and Mathematics.Time to Submit Your Dissertation?
Dissertations from 2019
Deep Embedding Kernel, Linh Le
Ordinal HyperPlane Loss, Bob Vanderheyden