Master's in Intelligent Systems Engineering

The University of Ottawa, founded in 1848, is the largest bilingual (English-French) university in the world. Located in the heart of Canada's capital, Ottawa, the university has access to the great institutions of the country. With over 42,000 students, including more than 8,885 international students, the university offers a diverse and inclusive community for learning and growth. The university is committed to providing students with a rigorous education that prepares them for the challenges of the modern workforce. The faculty offers a wide range of academic programs, spanning multiple disciplines and levels of study, including the #1 French immersion program among Canadian universities. Graduates of the university enjoy a high employment rate of 97%, and the university offers over $60 million per year in student scholarships and bursaries, making education accessible and affordable for all.

The Master's Degree Program in Intelligent Systems Engineering responds to the growing demand in the labour market for new professional figures, such as Data Architect, Data Engineer, Data Analyst, Data Scientist, with a special focus on systems where data plays a crucial role in providing innovative functions. Surveys (Digital Skills Observatory, 2019) clearly show unequivocally that companies need graduates in scientific and technical disciplines to master the digital transformation of industrial processes and the processes of interaction between people and computerized or information systems. The job market requires students with IT skills and technical competences on production and services. The training activities covered by this course concern statistics, mathematical optimization, artificial intelligence, BigData analysis, distributed system architectures including enabling factors such as cloud computing, 5G technologies and the use of sensors for data acquisition through the measurement of physical parameters of interest. Activities that address the impact of innovation and digital transformation on business models and processes, as well as insights into specific application areas such as sensors, robotics, bioengineering, industrial installations, energy systems are also part of the degree programme.