The Department of Mechanical and Materials Engineering offers a program of graduate study leading to a Master of Science in Engineering (M.S.E.) degree with a major in Renewable and Clean Energy. The Renewable and Clean Energy program includes courses on many types of alternative energy systems, in addition to courses on fundamental concepts related to energy. Included in this program are courses on fuel cells, solar energy, wind power, hydrogen fuel, energy conversion, energy materials, energy efficiency, thermodynamics, etc. The intent of this program is to train the next generation of renewable and clean energy engineers and to develop research in the area of renewable and clean energies.
To be considered for admission to the M.S.E. - Renewable and Clean Energy Program, students must first satisfy the basic requirements of the School of Graduate Studies. This includes having a bachelor's degree in engineering or a related area with an overall undergraduate grade point average of at least 2.7 (on a 4.0 scale) or an overall undergraduate grade point average of at least 2.5 with an average of 3.0 or better for the last 60 semester hours (90 quarter hours) earned toward the undergraduate degree. International students must have a TOEFL score of at least 79(IBT)/ 213(CBT)/ 550(PBT). In addition, the program requires students from non-ABET accredited undergraduate programs to submit general GRE test scores. Program admission decisions are based on complete application information including overall academic performance and standardized tests scores where applicable.
Program Learning Outcomes:
Students will be able to:
Outcome 1. Demonstrate engineering competency in graduate level renewable and clean energy engineering.
Outcome 2. Apply advanced engineering analysis techniques to the solution of complex problems
Outcome 3. Articulate the results of complex engineering problems in written or oral form.
Direct assessment: class final exams collected, 3 data points and/or thesis/papers/project reports. Indirect assessment: MS exit survey
For additional information:
Students should plan a program of study in consultation with a faculty advisor. The program of study should be finalized by the time the student completes nine (9) semester hours of graduate study.
The following requirements must be met for the Master of Science in Engineering in Renewable and Clean Energy degree:
- Completion of 30 graduate credit hours in courses that have prior approval by an engineering graduate advisor.
- At least 21 of the total 30 graduate credit hours must be engineering or computer science courses. At least 15 of these must be engineering courses.
- At least 15 of the 30 graduate credit hours of engineering and computer engineering must be courses numbered above 7000.
- At least 3 of the total 30 graduate credit hours must be a mathematics course.
- Students must choose either a thesis option or advanced course work option. Students employed as teaching or research assistants through the School of Graduate Studies at any time during their degree candidacy must choose the thesis option.
Thesis Option: A thesis satisfying all requirements of the School of Graduate Studies must be completed and successfully defended in an oral examination before the major committee. Nine (9) credit hours of ME 7950 - Thesis are required and will count toward the degree requirement of 30 total graduate credit hours.
Non-Thesis Option: Students must complete nine credit hours of courses numbered 7000 or above in addition to the six hours specified in requirement #3 above. Three of these nine credit hours should be an independent study course, ME 7990 .
I. Core Courses
Must take one Advanced Thermodynamics course from an approved list.
Advanced Thermodynamics Course: 3 Hours
- ME 7500 - Advanced Thermodynamics Credit Hour(s): 3
- UD/MEE 511 - Advanced Thermodynamics Credit Hour(s): 3
- UD/CME 507 - Advanced Thermodynamics Credit Hour(s): 3
- AFIT/PHYS 635 - Thermal Physics Credit Hour(s): 3
II. Renewable and Clean Energy Courses
Must take three Renewable and Clean Energy Courses from an approved list.
Renewable and Clean Energy Courses: 9 Hours
III. Math Courses: 3 Hours
IV. Elective Courses
Two elective courses at the graduate level. Electives can be taken in the Engineering, Computer Science, Physics, Chemistry, Biology, Microbiology, Geology, Mathematics, Environmental Sciences, and Statistics disciplines. Additional Renewable and Clean Energy courses may be taken to fulfill the elective requirement also.
Elective Courses: 6 Hours
V. Thesis or Non-Thesis Option
This program allows appropriate courses to be taken at the University of Dayton (UD) or the Air Force Institute of Technology (AFIT) to fulfill the requirements of this degree. Note that UD courses must be at the 500-level or above, and AFIT courses must be at the 600-level or above. These courses will be counted as 7000-level courses at Wright State.
Elective courses or additional credits required to fulfill the 30 credit hour requirement must be taken at the graduate level and can be taken in the following disciplines: Renewable and Clean Energy, Engineering, Computer Science, Physics, Chemistry, Biology, Microbiology, Geology, Environmental Sciences, Mathematics and Statistics disciplines. All course sections must be approved by a Renewable and Clean Energy faculty advisor.
Research/Areas of Expertise:
Research in renewable and clean energy is a new and upcoming field at Wright State University. There has been research done in fuel cells, geothermal energy, solar energy, wind power, batteries, super capacitors and hydrogen storage. Research topics change as resources and interests change.
Research at Wright State is not limited to the laboratory facilities on campus. Several industrial companies, laboratories, and Wright-Patterson Air Force Base are involved in joint research efforts with the university and have unique facilities available for faculty and graduate research.
Graduate students have access to a wide range of modern facilities including classrooms, laboratories, and computer systems interconnected by local and wide area communication networks. Computational facilities include numerous PC clusters, workstations, X-windowing terminals and personal computers.