Master of Applied Science in Electrical and Computer Engineering - Pattern Analysis and Machine Intelligence

The Pattern Analysis and Machine Intelligent (PAMI) research area involves theory, methods, operations and systems design that concern the perception, recognition and analysis of patterns of objects (visual, textual, numeric or multimedia) and building systems, machines and programs that exhibit adaptable and intelligent behaviour. There are several sub-areas in Pattern recognition and Machine Intelligence such as sensors management and perception, affective computing, activity recognition, data mining and knowledge discovery, cognitive robotics, cooperative intelligent systems, biometrics, video and image analysis, natural speech recognition, human-machine interaction and applications. These areas and sub-areas are the cornerstone of many applications ranging from intelligent transportation systems to service robotics, from speech transcription to document classification and clustering, from computer vision to emotion recognition, and from prediction of commodities to intelligent power engineering.

Members of the PAMI area are renowned researchers in their own fields, producing large amounts of IP, characterized by more than 50 patents and five spin-off companies. PAMI researchers organize, on yearly basis, a number of international conferences and workshops in the field. The PAMI area attracts some of the best researchers and graduate students from all parts of the world. Following graduation, PAMI graduate students are highly sought-after by academic institutions and industry. Research and training is completed using the most recent software and hardware available in the field, of particular note, these courses rarely taught in other institutions. Graduate students are known to also generate large amounts of IP, leading to patents and software products.

The Department of Electrical and Computer Engineering requires either (i) a 75% overall standing in the last two years, or equivalent, in a relevant four-year Honours Bachelor's degree or equivalent or (ii) a 75% overall standing or equivalent, in a relevant four-year Honours Bachelor's degree or equivalent, as the minimum requirement for admission to a Master's program for applicants educated at a Canadian institution. A 75% overall standing or equivalent, in a relevant four-year Honours Bachelor's degree or equivalent is the minimum requirement for admission to a Master's program for applicants educated outside of Canada.
At the time of admission, each student must have a faculty supervisor who has endorsed the recommendation for admission.
Two references, at least one academic
Proof of English language proficiency, if applicable. TOEFL 80 (writing 22, speaking 20, reading 20, listening 18) IELTS 6.5 (writing 6.0, speaking 6.0)