Electrical & Computer Engineering
Department of Electrical & Computer Engineering
Degrees Offered: M.S., M.Eng., Ph.D.
For the M.S. and Ph.D. in Electrical and Computer Engineering admissions preference will be given to those who express a clear research interest that closely matches the research currently being done by faculty members. Applicants are encouraged to contact faculty via email to discuss research opportunities, but it is best first to check the available assistantships web page to identify the most timely opportunities.
The Graduate Record Exam is required for application to the electrical and computer engineering program. Minimum scores: 150 Verbal, 155 Quantitative, 3.5 Analytical Writing. These scores must be received directly from ETS. For Montana State University, the code is 4488.
English proficiency scores with the following minimums: TOEFL , IELTS [level 7.0] or PTE , necessary for applicants who are not U.S. citizens and not from countries where English is the official language. This requirement is waived if the applicant has earned an undergraduate or graduate degree from an institution in the U.S.
Please see our International application process page for a list of countries where the english proficiency score is waived as well as for more information on applying as an International student.
Additional Application Requirements
For additional required admission documents please see program website or view list of requirements in the graduate application portal.
The Department of Electrical and Computer Engineering offers graduate study and research leading to the Master of Science degree (MS) in Electrical Engineering and the Doctor of Philosophy degree(PhD) in Engineering. A coursework-only Masters degree program is offered leading to the Master of Engineering degree (M.Eng) in Electrical Engineering.
Students may specialize in analog and digital signal processing, electronics, information and communication theory, electromagnetic theory, control systems, optimization, image processing, optical remote sensing, digital and computer engineering, modeling and control of power systems, network synthesis, electro-optical devices and systems, microelectromechanical systems, speech recognition, neural networks, real-time embedded systems, and reconfigurable computing.