| Program start date | Application deadline |
| 2023-12-01 | - |
| 2024-04-01 | - |
Program Overview
The Master of Artificial Intelligence (MAI) program is a course-based Master's program that provides students with the knowledge and skills to integrate and deploy AI in various sectors. The program consists of 10 courses (30 credit hours) covering core AI concepts and elective courses in AI-related areas. Graduates will be qualified for a variety of AI-related positions in both the private and public sectors.
Program Outline
Degree Overview:
Master of Artificial Intelligence (MAI)
The Master of Artificial Intelligence (MAI) is a course-based Master's program offered jointly by the Department of Computer Science (Faculty of Science) and the Department of Computer Engineering (Faculty of Engineering and Applied Sciences). It is designed for students with a background in computer science, computer engineering, or scientific computing who wish to specialize in artificial intelligence (AI). The program aims to provide students with the knowledge and skills to integrate and deploy AI in various sectors. Graduates will have a solid foundation in core AI concepts and will be able to apply AI techniques to solve real-world problems.
Outline:
The MAI program consists of 10 courses (30 credit hours). The core courses cover the foundations of AI, including:
- Machine learning
- Deep learning
- Computer vision
- Natural language processing
- Robotics Students can also choose elective courses in a variety of AI-related areas, such as:
- Big data analytics
- Bioinformatics
- Computational finance
- Cybersecurity
- Healthcare informatics The program can be completed in 16 months of full-time study.
Assessment:
Students in the MAI program are assessed through a variety of methods, including:
- Assignments
- Quizzes
- Midterms
- Finals
- Projects
- Presentations
Teaching:
The MAI program is taught by a team of experienced faculty members from the Department of Computer Science and the Department of Computer Engineering. Faculty members use a variety of teaching methods, including:
- Lectures
- Tutorials
- Labs
- Projects
- Research seminars
Careers:
Graduates of the MAI program will be qualified for a variety of AI-related positions in both the private and public sectors. Potential career paths include:
- AI engineer
- Machine learning engineer
- Data scientist
- Computer vision engineer
- Robotics engineer
- AI researcher
- AI consultant
Tuition Fees and Payment Information:
Tuition (NL students):$1,858.50/semester (plus an additional special fee) Tuition (Other Canadian students):$1,858.50/semester (plus an additional special fee) Tuition (International students):$2,416.50/semester (plus an additional special fee)
Entry Requirements:
Applicants must have a four-year undergraduate degree (or the equivalent) in computer science, computer engineering, or a related area such as data science, scientific computing, bioinformatics, or computational chemistry. Applicants shall normally hold a minimum Second-Class Upper standing (or have at least a 75% general average). Applicants must have taken at least one course in each of the following areas: linear algebra, vector calculus, statistics, and computer programming. Applicants must meet the English proficiency requirements for graduate programs with higher English proficiency requirements described in the website of the School of Graduate Studies.
