Data Science & EngineeringPhD

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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.

 

 

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

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