| Industrial Systems Engineering (MASc) | | |
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School | University of Regina - Faculty of Graduate Studies and Research | | |
Location | Regina, SK, Canada | | |
School Type | Graduate School | | |
School Size | Full-time Undergraduate: 10,000 Full-time Graduate: 800 | | |
Degree | Master | | |
Honours | | | |
Co-op | | | |
Length | 2 Year(s) | | |
Entry Grade (%)* | 70% | | |
Prerequisites | | | |
Prerequisites Notes | M.Eng. applicants from non-engineering backgrounds, or from backgrounds lacking course work normally taken by Canadian engineering undergraduates, are welcome. Applicants who lack experience in Engineering design, law, professionalism and ethics, and economics may be admitted as “qualifying students”. Students who satisfactorily complete the qualifying courses in their first year continue in the M.Eng. program. M.Eng. students normally are admitted only in the fall semester due to course sequencing and pre-requisites. The number of qualifying courses required may range from one to six undergraduate courses with a maximum of three courses in fall, winter, or spring/summer semesters, depending on the academic qualifications of the students. A baccalaureate graduating average of at least 70% is required. Applicants with a marginally lower 4-year average may be accepted if their performance in the last two complete years is significantly higher (75% or more). An applicant is to have the academic background required to undertake graduate studies in the chosen field. Applicants who fail to meet this requirement but who otherwise meet the criteria may be admitted; however, background deficiencies will be addressed by taking appropriate courses either prior to or in parallel with graduate work. | | |
Cost | | | |
Scholarships | | | |
Description | The major areas of specialization are in manufacturing, control, process engineering and energy systems. Activities include CAE, Facilities design, Quality control, Performance evaluation of manufacturing systems, Fatigue analysis, Vibration and noise analysis, Design and manufacturing of pressure vessels, Non-linear dynamics fracture mechanics, Modeling/simulation/ design/ implementation of robotic human powered , Sensor-based motion planning, Optimal control, Artificial Neural networks, Virtual reality, Artificial/Computational sapiens (wisdom), Metabotics, Greenhouse gas technology control including Solubility of gases in liquids, PVT studies, Mass transfer with chemical reactions, Kinetics, Corrosion and degradation, Calorimetry, Physical and transport properties measurements, Pilot plant design and operations, Fuel cells, Biomass, Modeling and simulation of industrial systems, Renewable energy studies dealing with wind and solar energies. | | |
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