As demand surges for engineers who are well-trained in the field of analytics and artificial intelligence (A/AI), CARTE aims to nurture the next generation of innovators and leaders by acting as a hub for A/AI education at U of T Engineering.
Knowledge and expertise from CARTE members inform a wide selection of courses across the faculty and the university. CARTE is also cultivating new experiential learning opportunities for students at all levels, as well as training and re-training opportunities for those already in the workforce.
This program for Engineering Science students provides a cutting-edge education in the mathematics, computation, computer hardware, and software engineering behind artificial intelligence, machine learning, and big data analytics. Students study, develop and apply algorithms that can learn from and make decisions based on data. Graduates are able to innovate in this rapidly developing field at the intersection of engineering and computer science.
For students in all other programs, the minor and certificate options delve into topics such as fundamentals of AI, data mining, neural networks and deep learning enabling the students to understand and utilize algorithms and data structures and critique the role of implications of AI in society and apply that in-depth knowledge to address engineering problems.
Working with world-renowned researchers, students gain incredible depth and experience in their field while gaining the knowledge and competencies needed for a career in research or industry leadership. The keystone of the doctoral program is a thesis of original work, supervised by a professor. Students entering the PhD program typically have already completed a master’s degree. Outstanding applicants coming directly from a bachelor-level program can also apply for direct entry into the PhD program.
In this full-time, two-year program, students complete a thesis supervised by a professor in one of seven academic units. An MASc is ideal for those who aspire to a rewarding career in research, whether in academia or industry. With supervisor approval and support, exceptional students can fast track from the MASc to the PhD program in their second year.
Master of Engineering (MEng) students in graduate units in the departments of Chemical Engineering & Applied Chemistry, Civil Engineering, Electrical & Computer Engineering, and Mechanical & Industrial Engineering can earn an Emphasis in Analytics by successfully completing four courses from the two lists designated for this program.