Master in Interdisciplinary Applied Artificial Intelligence

The University of Ottawa, a bilingual institution, is located in the heart of Canada's capital, offering you a unique learning experience. As the largest bilingual university in the world, it provides advantages such as access to the country's great institutions, a diverse community with over 8,885 international students, and the opportunity to improve your language skills through its renowned French immersion program.

The university focuses on many fields, with 118 programs available. Specifically, its French immersion program is the best among Canadian universities, allowing you to gain a deeper understanding of French culture. You can also take advantage of programs in different disciplines, with the university offering courses in multiple languages, including English and French.

As a student, you will be part of a community with access to the city's benefits, including proximity to Canada's great institutions. The university's location in Ottawa provides you with opportunities to engage with the city's activities and facilities, making your student life unique and enriching. With a large student body of 42,000 students, you will find many opportunities to get involved in campus life and make the most of your time at the University of Ottawa.

The Master in Interdisciplinary Applied Artificial Intelligence at the University of Ottawa is a 2-year program that provides students with the opportunity to study artificial intelligence in a broad range of areas. The program emphasizes transdisciplinary work and the development of analytical and integration skills.

The curriculum includes courses like Foundations and Applications of Machine Learning, System Optimization and Management, and Fundamentals of Cybersecurity. Students will develop skills in management, technology, communications, and data science, and learn to lead, design, and manage large complex systems using artificial intelligence.

Graduates of this program can become Artificial Intelligence Engineers, Data Scientists, IT Consultants, or Systems Analysts. They can work in industries like technology, healthcare, or finance, and companies like tech startups, consulting firms, or government agencies.