Queen’s University · Kingston, Canada

Master's in Artificial Intelligence (Engineering)

Campus Masters Full Time

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Delivery

Campus

Study mode

Full Time

Level

Masters

Starts

Fall, Spring

Introduction

Artificial Intelligence (Engineering) is a Masters program taught at Queen’s University, Kingston, Canada. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.

The Master's Degree in Artificial Intelligence (Engineering) at Queen's University equips students with cutting-edge knowledge and skills in the rapidly evolving field of AI. The course covers core principles of machine learning, data analytics, and neural networks, providing students with a strong foundation in both theory and practical applications. Through a combination of lectures, hands-on projects, and collaborative research, students enhance their problem-solving and critical thinking abilities.

Typically, the program is structured into core modules and elective courses, allowing students to tailor their learning experiences according to their interests. Key areas of study may include natural language processing, computer vision, and robotics. Additionally, students will have opportunities to work on real-life industrial projects, fostering connections with industry leaders.

Studying in the university's country offers students the advantages of being at the forefront of technological innovation. The vibrant tech ecosystem provides numerous networking opportunities with experts from various industries, facilitating further growth in this domain.

Admission Requirements

The minimum requirements for admission in Artificial Intelligence (Engineering) at Queen’s University for all applicants (Domestic or International) are:

program specific academic requirment set by Queen’s University.
English Language OR any other language requirments as set by Queen’s University as pre-requiste for admission in Artificial Intelligence (Engineering).

Note: Please check the university website in the link below.

Applicants should hold a bachelor's degree in engineering, computer science, or a related discipline, demonstrating a solid understanding of programming and algorithms. A background in mathematics and statistics is also recommended, alongside any relevant work experience in technology or research fields that showcases a passion for artificial intelligence.

Students applying for this program are typically required to have an IELTS score of 6.5 or a TOEFL score of 88, with no individual band score below 6.0 for IELTS or below 20 for TOEFL. This ensures students are equipped to engage with the course material and participate in discussions effectively.