Data Engineering Graduate Certificate

To earn your graduate certificate, you must successfully complete 12 credits from the following courses:

Theoretical Foundations (TF)

Select a minimum of 6 credits from the following:

• ECE 514 – Applications of Random Processes (3 cr.)
• ECE 520 – Optimization Methods-Control & Communication (3 cr.)
  OR
  ENGR 510 – Engineering Optimization: Method/Application (3 cr.)
• ECE 652 – Estimation and Filtering Theory (3 cr.)
• ECE 656 – Machine Learning and Adaptive Systems (3 cr.)
• SYSE 571 – Analytics in Systems Engineering (3 cr.)

Applications (AP)

Select a minimum of 3 credits from the following list of courses for specific engineering application domains:

AP: Signal and Image Processing

• ECE 512 – Digital Signal Processing (3 cr.)
• ECE 513 – Digital Image Processing (3 cr.)

AP: Biomedical Engineering

• ECE 517 – Advanced Optical Imaging (3 cr.)
  OR
  BIOM 517 – Advanced Optical Imaging (3 cr.)
• ECE 526 – Biological Physics (3 cr.)
  OR
  BIOM 526 – Biological Physics (3 cr.)
• ECE 537 – Biomedical Signal Processing (3 cr.)
  OR
  BIOM 537 – Biomedical Signal Processing (3 cr.)

AP: Computer Engineering

• ECE 554 – Computer Architecture (3 cr.)
• ECE 561 – Hardware/Software Design of Embedded Systems (4 cr.)
  OR
  CS 561 – Hardware/Software Design of Embedded Systems (4 cr.)
• ECE 658 – Internet Engineering (4 cr.)
  OR
  CS 658 – Internet Engineering (4 cr.)

AP: Systems Engineering

• SYSE 532 – Dynamics of Complex Engineering Systems (3 cr.)
  OR
  ECE 532 – Dynamics of Complex Engineering Systems (3 cr.)
• SYSE 569 – Cybersecurity Awareness for Systems Engineers (3 cr.)

Total Credits: 12

Note: This certificate may have courses in common with other graduate certificates. A student may earn more than one certificate, but a given course may be counted toward only one certificate.

Note: Additional coursework may be required due to prerequisites.

Note: ECE 520 and ENGR 510 cannot be both taken to satisfy this requirement.