Electrical System Analytics
This certificate provides fundamental knowledge, emerging practices, and real-world applications of data analytics and machine learning for power systems. Topics include data mining, data analytics, machine learning, and their applications for power systems. The certificate is ideal for professionals who want to enhance their capabilities in power system planning and operation, as well as experienced professionals who want to receive the necessary retraining to change careers. (9 credit hours)
The certificate can be completed entirely on campus, entirely online, or through a combination of on-campus and online courses.
Course Options
The courses which comprise this graduate certificate are outlined below. Students elect a total of 9 credit hours from the curriculum.
ECE 5424 Data Analytics and Machine Learning for Power Systems (3 credits)
ECE 537 Data Mining (3 credits)
ECE 579 Intelligent Systems (3 credits)
ECE 5831 Pattern Recognition and Neural Networks (3 credits)
The credits earned in this certificate program may be applied toward an ECE graduate degree program, subject to the curriculum requirement of the graduate degree program. Only 500-level or above graduate coursework can be double-counted to meet the degree requirements of ECE graduate programs. Please note that a maximum of two stackable certificates can be used towards earning an ECE graduate degree program.
Admission Requirements
Applicants must possess an undergraduate degree in Electrical Engineering with an overall GPA of 3.0 or higher.
| Course Number | Course Title |
|---|---|
| ECE 5424 | Data Analytics and Machine Learning for Power Systems-(Effective Fall 2021) |
| ECE 537 | Data Mining- Fall |
| ECE 579 | Intelligent Systems-Winter |
| ECE 5831 | Pattern Recognition and Neural Networks-Fall , Summer |