Master in Interdisciplinary Applied Artificial Intelligence

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 Systems Science and Engineering programs offers an online Master of Interdisciplinary Applied Artificial Intelligence. The program provides qualified students with the opportunity for master's-level study in a broad range of areas that emphasize transdisciplinary work in the context of general systems analysis. The emphasis in Interdisciplinary Applied Artificial Intelligence is on the development of analytical and integration skills for use in the resolution of complex applied problems that require a broad-based perspective. The graduate program in Interdisciplinary Artificial Intelligence is an interdisciplinary program specially designed for those who are interested in the analysis and modelling (mathematical and computer) of natural and man-made systems. It provides the professional with skills and knowledge required to understand, control, predict and optimize behaviour in a variety of fields from engineering and computer science to management. In the program, students will: 1. Develop and demonstrate the ability to communicate with and integrate multi-disciplinary expertise related to system science. 2. Develop and demonstrate the ability to lead, design and manage large complex systems using current and emerging tools, techniques and applications of Artificial intelligence. 3. Develop skills in management, technology, communications, information architecture, data science, and gender / cultural awareness and demonstrate the ability to apply them in practice.