Electrical, Computer and Systems Engineering M.S.

Thesis Option

This program is designed to prepare students for research-oriented careers and eventual pursuit of a doctoral degree. A 6-credit thesis or project is usually required as part of the program.

The Thesis Option M.S. Plans of Study in electrical engineering and computer and systems engineering must consist of at least 15 credit hours of 6000-level courses and the thesis/project. At least 12 credit hours of ECSE courses must be taken, not including thesis credits. Programs that do not include 12 credit hours from ECSE must have prior approval from the director of master’s programs. Students who do not have adequate preparation for their chosen area of specialization may need to take background courses in addition to the 30-credit-hour requirement. An information sheet giving the requirements for several areas of specialization is available for all accepted students.

Non-Thesis Option

This one-year program is designed to prepare graduates for professional careers. Students entering the program typically hold accredited bachelor’s degrees in appropriate branches of engineering. A master’s thesis or project is not required.

The Non-Thesis Option M.S. Plans of Study in electrical engineering and computer and systems engineering consist of at least 18 credit hours in 6000-level courses. In addition, they must include at least 18 credit hours in ECSE courses. Programs that do not include 18 credit hours from ECSE must have prior approval from the director of master’s programs. Students who do not have adequate preparation for their chosen area of specialization may need to take background courses in addition to the 30-credit-hour requirement. 


Outcomes of the Graduate Curriculum
Students who successfully complete this program will be able to demonstrate:

• advanced proficiency in an area within ECSE.
• effective oral and written communication skills.
• preparedness for professional careers and/or further graduate studies.
• (Thesis Option Only) proficiency in research techniques (theoretical, computational and/or experimental).