The Ph.D. in Data Science and Analytics 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.
We launched the first formal PhD program in Data Science in 2015. Our program sits at the intersection of computer science, statistics, mathematics, and business. Our students engage in relevant research with faculty from across our eleven colleges. As one of the institutions on the forefront of the development of data science as an academic discipline, we are committed to developing the next generation of Data Science leaders, researchers, and educators. Culturally, we are committed to the discipline of Data Science, through ethical practices, attention to fairness, to a diverse student body, to academic excellence, and research which makes positive contributions to our local, regional, and global community. -Sherry Ni, Director, Ph.D. in Data Science and Analytics
This degree will train individuals to translate and facilitate new innovative research, structured and unstructured, complex data into information to improve decision making. This curriculum includes heavy emphasis on programming, data mining, statistical modeling, and the mathematical foundations to support these concepts. Importantly, the program also emphasizes communication skills – both oral and written – as well as application and tying results to business and research problems.Time to Submit Your Dissertation?
Dissertations from 2023
Quantification of Various Types of Biases in Large Language Models, Sudhashree Sayenju
Dissertations from 2022
Dissertations from 2021
Dissertations from 2020
ATTACK AND DEFENSE IN SECURITY ANALYTICS, Yiyun Zhou
Dissertations from 2019
Deep Embedding Kernel, Linh Le
Ordinal HyperPlane Loss, Bob Vanderheyden