Data Science & EngineeringPhD

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

Electrical Engineering and Computer Science Department

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

Program Highlights

Department page

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

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 questions about eligibility 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

Program information

Program Requirements

TYPE
In-Person

ADMISSION MATERIALS
  • Statement of purpose
  • Official US transcripts or international transcript evaluation
  • Official English proficiency scores
  • 3 Letters of recommendation
  • GRE scores not required
COST

Have more questions?

Data Science & Engineering PhD:

Randy Hoover
Program Coordinator
M 206D