Statistics Data Science: Ph.D.
Statistics Data Science: Ph.D.
Our Ph.D. in Statistics Data Science program offers you the opportunity to hone your skills in mathematical reasoning, statistical modeling, computation, and methodology development.
Through this new doctoral program, you will gain a thorough understanding of probability and statistics as well as machine learning methods. You’ll apply statistical methods and theory to real-world data challenges in an interdisciplinary manner. This program will expose you to cutting-edge research and developments in statistics, machine learning, artificial intelligence and data sense, preparing you for statistics and data science careers in academia, the public sector and industry.
Admission & Degree Requirements
Admission to this program is highly competitive and selective. We require you to submit the following with your application.
All transcripts from undergraduate and graduate (if applicable) institutions.
Three letters of recommendation.
Personal statement: Include research interests;do not exceed three pages.
GRE General test score (required but can be waived for students currently enrolled in or have already earned the MS in Statistics degree in UD)
GRE subject test in Mathematics or other STEM fields (optional).
Language scores (for international students whose native language is not English, and who have not received a degree at a U.S. college or university). A score of 100 or higher on the Test of English as a Foreign Language (TOEFL), or equivalently 7.5 or higher on the International English Language Testing System (IELTS).
A department graduate committee will decide who is admitted to the program in compliance with University policies and procedures. The committee reserves the right to interview the applicants.
Students with an MS degree in Statistics or related fields are eligible for a 4-year accelerated track with a reduced course load. Eligibility is determined by the admission committee.
Degree Requirements
You must have, or expect to have a bachelor’s degree or higher in statistics, mathematics or a related field from an accredited college of university, by the date of admission.
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*Disclaimer: The customized GPT is an experimental tool designed to provide real-time answers based on the official curriculum and commonly asked questions. GPT-generated answers may not always be accurate. Please verify all information through the official University of Delaware website.
Application deadlines
Regular admission is for each fall semester. Applicants must submit their application via the online link no later than February 1.
Research Areas
The Statistics faculty within the department engage in a broad range of research topics. Our expertise spans classical statistical problems, such as hypothesis testing, high-dimensional data analysis, dimension reduction, time-series analysis, and nonparametric statistics, as well as contemporary topics, including network modeling, graph learning, neural networks, computational statistics, and optimization. Additionally, our faculty are actively involved in data-driven research applications across diverse fields, such as large language models, image data analysis, financial forecasting, health sciences, biology, and animal science.
The program also offers students the flexibility to pursue research in collaboration with our affiliated faculty or any other University of Delaware faculty whose work is closely aligned with statistics and data science. This interdisciplinary approach provides a unique opportunity for students to tailor their research experience to their academic and professional interests.
