This 30 semester credit hour degree plan is tailored to accommodate a large variety of backgrounds in the sciences and engineering. Data Engineering is a design-oriented discipline centered around complex systems that includes areas such as: acquisition, storage, management, security, visualization, processing/analytics, analysis/science, classification/prediction, decision making, and automated intelligence.
Applicants should have experience in one or more of the following areas:
- Introduction to SW Development
- computer system fundamentals, introduction to programming
- Introductory Digital Logic
- Boolean algebra, logic gates, memory
- Undergraduate Embedded Systems
- introduction to assembler/C, I/O, sensors, actuators/indicators
- Undergraduate Statistics for Engineering/Science
- probability concepts, distributions, data sample statistics
Students are required to complete four core courses and the remaining six courses are selected from a list of elective courses. Of the required elective courses, at least three of the six courses must be at the advanced 8000 level. There are five optional "Focus Tracks": data security; data management; data engineering with intelligence and learning; data acquisition and preprocessing; and data engineering research.