8 Best Artificial Intelligence in Canada for 2024

Information Technology (IT) is used in all areas of businesses and industry. This offers incredible career choices to CST graduates. During your studies, you will acquire a comprehensive knowledge of the most up-to-date computer-related skills. You will learn to use a variety of development tools and explore the newest technologies including game programming and connected objects. The program has a practical approach and emphasizes the use of industry-sought structured and object-oriented techniques. Unique to Lennoxville, the program also includes more in-depth coverage of networks, security, game programming, and connected objects. The program concludes with an eight-week full-time stage where you will get a chance to apply your new skills in a real business setting.

Goals Studies at the master's level aim for a specialization in an area of ​​computer science by means of advanced courses. They aim to introduce the student to research by exploring a limited subject and writing a dissertation. It is also possible in the General option Internship modality to carry out an internship in a company of two sessions and in the Tutorial mode to do two internships of one session in the laboratory provided that a professor agrees to act as referee; an internship report must then be produced.

Be equipped to take on leadership roles in information and knowledge-based environments, including academia. The doctorate program features advanced scholarly research on the theoretical basis of information studies. In private and public institutions, apply the Ph.D. to professional practice functions such as research, systems analysis and design, and administration.

Through collaboration with industry, the Software Engineering Technology – Artificial Intelligence (AI) program will provide our students with skills in state of art design and AI application development technologies. Software is taking the planet by storm and AI-driven technologies are at the center of it. AI’s global economic impact is expected to reach trillions by 2025. AI is set to become the new database for next-generation applications. Our Software Engineering Technology – Artificial Intelligence program aligns well with the newest technology trends in the software industry, namely “Augmented Analytics,” “AI-Driven Development,” and “Autonomous Things.” The coursework emphasizes modern software design and AI frameworks, machine learning, data visualization, big data fundamentals, natural language processing, image recognition, recommender systems, software bots, digital ethics, and privacy guidelines within AI solutions. To round out the technical focus of the curriculum, the Software Engineering Technology – Artificial Intelligence program includes two software development projects. For these real-world business applications, you put into action all the technical, systems, and business skills acquired during your courses to build AI-enhanced software solutions for automating, classifying, predicting, recommending, and understanding processes and data.

Carleton’s Computer Science program teaches you the principles of solving computational problems while giving you up-to-date applied skills for working on cutting-edge projects and building the technology of tomorrow.

Our computing programs highlight the interdisciplinary nature of computing and offer the flexibility to combine studies in computing science with other areas of study. Through the General program, you’ll acquire the technical knowledge and problem-solving skills to create innovative solutions for a wide range of challenges.

The BSc Specialization in Computing Science is very unique as it combines the structure of a Specialization degree with elements of customization often found in the General Science program. Nicknamed “Computing and X”, this program allows you either to study a concentrated area of computing science or to combine the study of computing science with another discipline, thus creating a very tailored degree.

The Computing Science program at Augustana builds foundational knowledge in Python and Java to prepare you for further study in other programming languages, as well as the areas of software engineering, operating systems, computer organization and architecture, algorithms, databases, networks, parallel programming, and computing theory.