Graduate certificates
Graduate certificate information
The School of Electrical, Computer and Energy Engineering offers two graduate certificates that can be completed with a graduate degree program or on their own. A student should consult with their academic advisor if they would like to add a certificate to their graduate plan of study.
The nuclear power generation (NPG) graduate certificate is offered in person at the Tempe campus and online. Students typically begin with the study of nuclear science and engineering fundamentals. Subsequent core courses focus on nuclear power plant dynamics and diagnostics, plant operations and safety and nuclear reactor theory and design.
The Sensor signal and information processing (SenSIP) graduate certificate is offered at the Tempe campus. This certificate provides background and application-oriented training in processing and interpreting signals acquired from sensors. The program focuses on building knowledge and skills in several sensor network applications.
The Graduate College requires students to enroll in at least one graduate-level credit each fall and spring semester. The certificate program must be completed within five calendar years. All courses that will count for the certificate must have a cumulative GPA of 3.0 or higher, and each course used to earn the certificate must be completed with a grade of ‘C’ or higher.
Ready to apply? Click the link below to submit your application on the graduate admissions website.
Nuclear power generation certificate
Courses from multiple academic units constitute both the core and elective classes available to the student. This certificate is offered in person at the Tempe campus or purely online. The program requires 15 hours of coursework with a minimum of two-thirds at the 500-level or higher.
For more information, contact Associate Professor Keith Holbert at (480) 965-8594 or [email protected].
Admission requirements
Admission into this program is continuous and normal program deadlines are used.
Applicants who have a GPA of at least 3.0 (out of 4.0) and hold a bachelor’s degree in an engineering or science discipline, such as physics, chemistry or mathematics, from a regionally accredited institution are eligible to apply to the program. Applicants are required to submit an official ASU graduate application online, official transcripts of all undergraduate and graduate coursework and a statement of career and educational goals.
Courses
The core courses prepare students to further their studies in nuclear power generation technology. Elective courses allow students to tailor their remaining studies to their career goals and to focus on studies tied to their discipline.
The core courses are
- EEE 562 — Nuclear Reactor Theory and Design (3 credits)
- EEE 563 — Nuclear Reactor System Dynamics and Diagnostics (3 credits)
- EEE 564 — Interdisciplinary Nuclear Power Operations (3 credits)
The elective courses include
- EEE 460/591 — Nuclear Power Engineering (3 credits) **
- EEE 463/591 — Electrical Power Plants (3 credits)
- EEE 598 — Nuclear Fuel Cycle, Waste and Life Cycle Management
- EEE 598 — Nuclear Safety, Security and Safeguards
- Other STEM courses that match your interests. Please contact Dr. Keith Holbert for more information or suggestions regarding the program or courses.
** EEE 460 is a prerequisite to the core courses. For students who have not successfully completed such a course, EEE 460/591 may be taken as an elective prior to enrolling in the core courses and applied toward the 15 credit hours required for the graduate certificate.
Sensor signal and information processing certificate
Sensors and signal processing algorithms are now embedded in billions of mobile devices and have been deployed for several applications, including technology for health, security, sustainability and integrated media. The Sensor Signal and Information Processing (SenSIP) Center established this graduate certificate with the goal to offer opportunities for the focused study of signal processing and systems algorithms for sensor-related applications, supporting the industry’s workforce development.
The rationale for a professional SenSIP certificate is multifold: a) A master’s degree is not needed to position an individual to work in the sensor industry, b) the certificate will enable students or professionals to have certified specialization in this area, c) the certificate will enable engineers in industry who have outdated degrees to retrain and position themselves for employment in higher paying jobs and d) the certificate will support the creation of a specialized post-bachelor’s degree workforce in a field of economic importance at the state and national levels.
For more information contact Professor Andreas Spanias, director of SenSIP program at (480) 965-1837 or [email protected].
Admission requirements
Admission into this program is continuous, and normal program deadlines are used.
Applicants who have a GPA of at least 3.0 (out of 4.0) and hold a bachelor’s degree in an engineering or science discipline, such as physics, chemistry or mathematics, from a regionally accredited institution are eligible to apply to the program. Applicants are required to submit an official ASU graduate application online, official transcripts of all undergraduate and graduate coursework and a statement of career and educational goals.
Course requirements
This certificate requires the successful completion of six courses consisting of 16 credits: three core courses (7 credits), two required courses, and two elective courses (at least 6 credits). See below for the core courses and some examples of electives. Some of the courses are listed as “EEE 591.” These courses are cross-listed with 400-level undergraduate courses. A maximum of one third of the program’s courses (two courses total) can be cross-listed.
Elective courses
- EEE 404/591 — Topic: Real-Time DSP Systems
- EEE 455/591 — Topic: Communication Systems
- EEE 459/591 — Topic: Communication Networks
- EEE 505 — Time-Frequency Signal Processing
- EEE 506 — Digital Spectral Analysis
- EEE 508 — Digital Image and Video Processing and Compression
- EEE 511 — Artificial Neural Computation
- EEE 552 — Digital and Wireless Communications
- EEE 557 — Broadband Networks
- EEE 581 — Filtering of Stochastic Processes
- EEE 589 — Convex Optimization
- EEE 598 — Topic: Sensor Systems, Algorithms and Applications
- EEE 598 — Topic: Theory and Algorithms for Big Data Analytics
- EEE 606 — Adaptive Signal Processing
- BME 598 — Topic: Biomedical Signal Processing
- BMI 501 — Introduction to Biomedical Informatics
- CSE 575 — Statistical Machine Learning