Topics include hardware/software co-design, IC design, electromagnetic compatibility, VLSI design, and secure embedded systems design.

Topics include network analysis and synthesis, cyber-physical systems, wireless networks, sensor networks, dependability, and fault tolerance.

Topics include high performance systems, parallel processors, GPU computing, and heterogeneous systems architecture.

Topics include clustering, adaptive resonance and reinforcement learning architectures, learning and adaptation, hardware and applications, neurofuzzy regression, traveling salesman problem heuristics, robotic swarms, bioinformatics, medical informatics, machine vision, and automation.

This graduate certificate program provides practicing engineers the opportunity to develop the necessary skills in the use and development of computational intelligence algorithms based on evolutionary computation, neural networks, fuzzy logic, and complex systems theory. Engineers can also learn how to integrate common sense reasoning with computational intelligence elective courses such as data mining and knowledge discovery.

This certificate is a joint effort between computer engineering and systems engineering to provide practicing engineers with the necessary skills to develop and design the operation of network centric systems. These four courses count towards a M.S. degree in computer engineering or systems engineering and they address the intersection between network engineering, systems engineering, and architecting.

A distance Master program is available. Learn more at:

Distance - Master of Science of Computer Engineering

There are two distance certificate programs are available. Learn more at:

• Computational Intelligence
• Cyber-Physical Systems

Distance Course Schedules

The most important thing for PhD admission is to secure your tentative advisor by individual contact as stated below, even before you formally apply. View the department's faculty directory to review each faculty member's research areas and identify your potential PhD advisor. Contact the faculty member(s) by email with your portfolio (CV, transcript, publication, etc.) for seeking confirmation to serve as your PhD advisor.

Once you have a confirmation, ask for a Recommendation Letter from your potential advisor and specify the advisor in your Statement of Purpose to be part of your application package. Please note that the confirmation to serve as your advisor does not mean you’ll be automatically offered a financial assistantship. You need to ask the advisor about the availability of assistantship (see the link to “Graduate Assistantship” below).

You may apply formally for PhD without this procedure of securing the advisor. We will circulate your application materials to faculty members to see if someone is interested in serving as your advisor. If you are applying for the PhD program without a MS degree (directly from BS) and without securing an advisor, we may still admit you as an MS to be able to convert to PhD within 2-3 semesters (all your credits are then counted toward PhD). During this period, you interact with faculty and demonstrate your aptitude for PhD.

There are two options in the Master program: thesis option and non-thesis option. The non-thesis option requires coursework only, while the thesis option requires a thesis with your research advisor with less course work.

Both options are equally considered for admission without preference or priority. For the thesis option, procedure of how to secure an advisor and seek his or her confirmation is the same as that of PhD (see "Doctoral degree" above). Master students may change the degree option at any time during the study.

Other Campus-level assistantship opportunities are found at:

Domestic students: https://futurestudents.mst.edu/admissions/graduate/

International students: https://futurestudents.mst.edu/admissions/international/