Data Analytics & Machine Learning
(Previously Analytics)

Data Analytics involves the algorithmic processing of data for purposes of description (what happened), prediction (what will happen), or prescription (what should be done). Machine Learning focuses on the computational and statistical methods for learning patterns and associations and obtaining insights from data. Data Analytics and Machine Learning collectively represent the forefront of technology innovation powering a wide range of applications including personalized e-commerce, cybersecurity, intelligent logistics and scheduling, financial investing, digital marketing, adaptive user interfaces, and health applications including medical imaging analysis.

University of Toronto graduates who have earned an emphasis in Data Analytics and Machine Learning are among the most sought out engineers with AI, Data Science, and Information Engineering skills in the local and the North American job market.

Students have access to nearly 50 graduate courses in different areas of artificial intelligence, machine learning, data science, and their applications in different disciplines of engineering, developed and taught by our outstanding engineering faculty, many of whom have earned accolades for pioneering research and exceptional teaching.

Students who complete the requirements of the emphasis will have it notated on their transcript.