Master of Applied Science (MASc) Students
Use the tabs below to navigate through the information.
To earn your MASc degree, you will need to complete a set of requirements and courses. Our program is designed to provide you with a strong foundation in sustainable energy engineering, while also allowing you to tailor your studies to your interests and career goals.
The MASc program in SEE consists of course work (12 units) and a thesis (18 units) for a minimum of 30 units. If you lack the necessary background knowledge, you may be asked by your supervisor or supervisory committee to complete additional courses beyond the program requirements in order to broaden your preparation for undertaking thesis work. You are expected to complete the program requirements within six terms.
YOU MUST COMPLETE THE FOLLOWING COURSES:
- SEE 810 - Sustainability and Sustainable Energy Technologies (3)
- SEE 811 - Technical Communication Skills (3)
- SEE 896 - MASc Research Seminar (0) - you must enroll in this course every term
- SEE 898 - MASc Thesis (18) - you must enroll in this course every term
YOU MUST ALSO COMPLETE AT LEAST TWO OF THE FOLLOWING COURSES, WITH A MINIMUM OF ONE SEE COURSE:
- SEE 820 - Materials Design for Energy Systems (3)
- SEE 821 - Membranes and Filtration (3)
- SEE 850 - Energy Storage Systems (3)
- SEE 891 - Directed Studies (3)
- SEE 893 - Special Topics I (3) *
- SEE 894 - Special Topics II (3) *
- SEE 895 - Special Topics III (3) *
- ENSC 801 - Linear Systems Theory (3)
- ENSC 802 - Stochastic Systems (3)
- ENSC 810 - Statistical Signal Processing (3)
- ENSC 833 - Network Protocols and Performance (3)
- ENSC 835 - Communication Networks (3)
- ENSC 854 - Integrated Microsensors and Actuators (3)
- MSE 722 - Fuel Cell Systems (3)
- MSE 726 - Introduction to Engineering Design Optimization (3)
- MSE 780 - Manufacturing Systems (3)
- MSE 812 - Advanced 3D Printing (3)
- MSE 821 - Advanced Conduction Heat Transfer (3)
- MSE 822 - Advanced Convection Heat Transfer (3)
- STAT 604 - Analysis of Experimental and Observational Data (3)
*Examples of recent offerings of SEE Special Topics courses include:
|
Please refer to the for detailed information on course offerings and their general descriptions. Visit this page to see the list of SEE courses offered by semester.