Data Science & EngineeringPhD

/academics/explore-all-programs/assets/comp_science_and_electrical_engineering/uriel-sc-11KDtiUWRq4-unsplash.jpg

This doctoral program is for you if you want to be on the cutting edge of answering the most complex questions with data! Here, you will have a chance to work with faculty at the forefront of their fields and publish in acclaimed journals.

Featured Research

Multilinear Methods for Graph Forecasting and Analysis
Investigating Machine-Learning VBA-Macro Analysis using Machine Learning in a Constrained Environment

Featured Courses

Introduction to Data Science and Engineering
Data Analysis
Optimization Techniques

Potential Careers

Data security
Data analyst
Cyber security
Data scientist

Department page

Eligibility Criteria

3.0 GPA on 4.0 scale
Bachelor's Degree in

Electrical Engineering
Computer Science/Engineering
Industrial Engineering
Mathematics

Criteria may not be strict thresholds; factors such as work or research experience may be considered. Students with special circumstances should contact the program prior to applying.

Credits

Course requirements: 36 credits
Research requirements: 36 credits
Total credits: 72

Application

Applications are considered after the deadlines, but timely admittance and/or funding may be affected. Applications may be deferred to a later semester without reapplying.

For Fall Enrollment: February 1
For Spring Enrollment: August 1

Application Instructions