| 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)
Memorial University of Newfoundland
Overview:
Memorial University of Newfoundland is a public research university located in Newfoundland and Labrador, Canada. It is the province's largest university and offers a wide range of undergraduate and graduate programs.
Student Life and Campus Experience:
Memorial University offers a vibrant campus life with various student clubs, organizations, and events. Students can participate in sports, arts, and cultural activities. The university also provides resources for student health and wellness.
Key Reasons to Study There:
*
Unique Location:
Memorial University is situated in a beautiful and culturally rich province with stunning natural landscapes. *Research Opportunities:
The university is known for its strong research focus, offering students opportunities to engage in cutting-edge research projects. *Strong Academic Programs:
Memorial University offers a diverse range of academic programs, including strong programs in areas like oceanography, marine biology, and engineering. *Supportive Environment:
The university provides a supportive and welcoming environment for students, with dedicated staff and faculty members committed to student success.Academic Programs:
Memorial University offers a wide range of academic programs across various faculties and schools, including: * Faculty of Arts * Faculty of Business Administration * Faculty of Education * Faculty of Engineering and Applied Science * Faculty of Medicine * Faculty of Science * Faculty of Law * Grenfell Campus * Marine Institute
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.
