Data Science & EngineeringPhD

Program Highlights
Department pageFeatured 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
Requirements
Application InstructionsEligibility Criteria
Bachelor's Degree in
- Electrical Engineering
- Computer Science/Engineering
- Industrial Engineering
- Mathematics
Credits
Research requirements: 36 credits
Total credits: 72
Application
For Fall Enrollment: February 1
For Spring Enrollment: August 1
Program information
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
- Eligible for assistantships
- Tuition and fees
Have more questions?
Data Science & Engineering PhD:
Randy Hoover
Program Coordinator
M 206D