3.3 Year 3 and Year 4 Registration - Specializations Curriculum

Year 3 Core Specialization Courses

The table below details courses that all Biomedical Engineering students will need to take in the third year of their degree.

Note: Your complementary studies requirements and Technical Electives can be taken in any order, provided pre-requisites have been met.

Course	Term	Title	Credits
BIOC 202	2	Introductory Medical Biochemistry	3
BMEG 310	1	Introduction to Bioinformatics	4
BMEG 321	2	Biomedical Instrumentation	3
BMEG 350	2	Human Structure/Function from Cells to Systems	4
BMEG 357	2	Biomedical Engineering Design II	3
BMEG 371	1	Transport Phenomena within Cells and Tissues	3
CHEM 233	1	Organic Chemistry for the Biological Sciences	3
CHEM 235	1 or 2	Organic Chemistry Laboratory	3
STAT 251	1 or 2	Elementary Statistics	3
Technical Electives		Check Eligible Tech Electives here	6
Complementary Studies (Humanities/Social Science)		Check Eligible Humanities/Social Science courses here	3
		Total	36 credits

Year 4 Core Specialization Courses

The table below details courses that all Biomedical Engineering students will need to take in the fourth year of their degree.

	Course	Title	Credit
Term 1	BMEG 455	Professionalism and Ethics in Biomedical Engineering	3
	BMEG 457	Biomedical Engineering Design Project (Part 1 of 2)	3
	STAT 300	Intermediate Statistics for Applications	3
	Technical Electives	Check Eligible Tech Electives here	6
	Complementary Studies (BMEG 402)	Impact of Biomedical Engineering on Society, Sustainability and Environmental Stewardship	3
			18

	Course	Title	Credit
Term 2	BMEG 401	Economics of Healthcare Solutions	3
	BMEG 457	Biomedical Engineering Design Project (Part 2 of 2)	3
	Technical Electives	Check Eligible Tech Electives here	9
	Complementary Studies (Humanities/Social Science)	Check Eligible Humanities/Social Science courses here	3
			18

** If you have Year 4 standing in Workday and are still missing Year 3 courses, please always prioritize Year 3 requirements before registering in Year 4 core courses.

BMEG 457: Students on co-op are not permitted to take BMEG 457 at the same time as their co-op term, unless they have written approval from the BMEG 457 Coordinators and the co-op supervisor.

BMEG 402 – This course fulfills the Complementary Studies requirement for "Impact of Engineering on Society, Sustainability, and Environmental Stewardship" (3 credits). Starting in 2025W, BMEG students must take BMEG 402 to meet their IMPACT course requirement. If you have not completed your Impacts requirement before 2025W, you will need to take this course.

BMEG 201 - Please make sure that you complete the course before starting Year 4. Students who do not meet this requirement will be limited to 12 credits in term 1 of their year 4 standing and no further credits until completion of the requirement.

BMEG 400X - The course can count as a technical elective for BMEG students. AUs haven't been established yet.

Reminder: Your complementary studies requirements and Technical Electives can be taken in any order, provided pre-requisites have been met.

Technical Electives & Additional Course Information

For the most up-to-date information in regards to selecting your technical electives please refer to the SBME website.

Elective Courses:

If you are interested in BMEG 490A or BMEG 490B, please complete this survey Links to an external site. by June 15. To read more about the course, you can visit the SBME webpage for BMEG 490.
BMEG 400K: The course is called "Wearables". This cross listed course is taught by Dr. Calvin Kuo. ES & ED units will be updated shortly for students planning to take this elective course. Please note: this is a course designed for 4th year students, as the pre-requisites are BMEG 310 and BMEG 321, with a recommended pre-req of BMEG 350. Student without the required pre-reqs will be dropped without notice.
- Course Description:
  The implementation of wearable technologies for clinical care. This course covers the interface of physiology and technology: wearable devices; transduction; physiological signal processing; machine learning; and decision making all within the context of clinical care.