Established in 1885, the Electrical Engineering program has a long tradition of excellence. The EECS Department is a fast growing and research active entity at the University of Missouri. Our ECE classes are small with extensive design and laboratory experimentation. Research opportunities exist for both undergraduate and graduate students in Communication and Signal Processing, Physical and Power Electronics, Intelligent Systems, Systems Modeling and Control, Nano/Micro Technology, Applied Physics, and Digital/Computer Systems.
On Campus
*This program is eligible for the STEM OPT Extension.
The EECS department offers the Doctor of Philosophy degree in Electrical and Computer Engineering.
Application for admission to a graduate degree program in ECE involves submitting a formal application through the Graduate School online application for admission. An application must be accompanied by an application fee. In addition, the applicant must have the following original paperwork sent directly from the originating institutions to the Graduate School:
*Note: Please contact the department for a hardship waiver if you are unable to take the GRE.
The following supplemental materials must be uploaded in the online application:
In order to be considered for admission in a particular semester, the Director of Graduate Studies, according to the following deadlines, must receive all required paperwork:
Note: Copies of the required documents (transcripts, GRE scores, etc.) cannot be accepted in lieu of the official reports from the originating institutions. Copies of these records can be submitted for evaluation, but any decision on admission is non-binding until the official records have been received.
All MU students (current or prior) must meet the same requirements as external students. The only difference is that MU grad students file one of the following forms (in lieu of an MU Application Form):
More information about the EECS graduate programs can be found at this link.
Click here to view the minimum English language proficiency test scores
On Campus
*This program is eligible for the STEM OPT Extension.
The EECS department offers the Master of Science degree in Computer Engineering and the Master of Science degree in Electrical Engineering.
Application for admission to a graduate degree program in ECE involves submitting a formal application through the Graduate School online application for admission. An application must be accompanied by an application fee. In addition, the applicant must have the following original paperwork sent directly from the originating institutions to the Graduate School:
*Note: Please contact the department for a hardship waiver if you are unable to take the GRE.
The following supplemental materials must be uploaded in the online application:
In order to be considered for admission in a particular semester, the Director of Graduate School, according to the following deadlines, must receive all required paperwork:
Note: Copies of the required documents (transcripts, GRE scores, etc.) cannot be accepted in lieu of the official reports from the originating institutions. Copies of these records can be submitted for evaluation, but any decision on admission is non-binding until the official records have been received.
All MU students (current or prior) must meet the same requirements as external students. The only difference is that MU grad students file one of the following forms (in lieu of an MU Application Form):
More information about the EECS graduate programs can be found at this link.
Click here to view the minimum English language proficiency test scores
On Campus
*This program is eligible for the STEM OPT Extension.
Fall deadline: May 1
Spring deadline: December 1
Current MU undergraduate students are eligible to apply to this program. To be considered for admission to the accelerated MS program in Electrical Engineering/Computer Engineering, a student must:
On Campus
Stand Alone: Yes
Total Credit Hours: 15
Certificate description: The recent advancement in AI (Artificial Intelligence) and Machine Learning has made significant impact in a wide range of research fields and industries. The purpose of this graduate certificate is to prepare students and professionals to understand the foundation and advanced skills in AI and machine learning and to handle the growing demands in applying cutting-edge AI techniques.
Certificate web site:
https://engineering.missouri.edu/departments/eecs/eecs-degrees/
Note: Some courses may be taken online through the academic program right now due to COVID-19.
Application Deadlines
On Campus
Stand Alone: Yes
Total Credit Hours: 12
Certificate description: Data science is an interdisciplinary area of scientific processes, methods, systems, and algorithms to obtain knowledge or insights from data. Data engineers design, manage, and optimize the flow of data within an organization. The goal of this graduate certificate is to prepare students and professionals to understand the fundamentals and advanced skills in data analytics engineering. It enables the graduating students to address the growing need for data engineering and data science professionals who are trained in advanced data analytics and can collect, process, and transform large streams of data into understandable and actionable information for the purpose of making decisions.
Certificate web site:
https://engineering.missouri.edu/departments/eecs/eecs-degrees/
Application Deadlines
On Campus
Stand Alone: Yes
Total Credit Hours: 12
Certificate description: The Graduate Certificate in Neural Engineering-Signals, Systems & Machine Learning will enable the student to gain both fundamental and applied understanding of brain signals and systems, and machine learning schemes in this rapidly growing component of neural big-data research. The program includes the study of basic concepts related to modeling the nonlinear electrical circuits in the brain which use concepts from signal processing, systems modeling and control disciplines. The students will gain expertise in understanding the fundamentals of signals, systems and machine learning tools for ‘reverse engineering the brain’, and also for the design of neural prostheses, and brain machine interfaces.
Certificate web site:
https://engineering.missouri.edu/departments/eecs/eecs-degrees/
Application Deadlines