Master's Degree Full Time

Artificial Intelligence (Engineering)

at Queen's University · Kingston, Ontario

Duration

1–2 years

Tuition

On request

Intake

Fall, Spring

Mode

Full Time

About this program

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.

Entry requirements

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.

English: 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.

International students: International students must ensure they meet the visa requirements which generally include proof of acceptance into the program, sufficient financial resources, and health insurance. Furthermore, students should gather the necessary documents such as transcripts, certificates, and passports. It is essential to check the official visa requirements for their specific country before applying.

Career outcomes

<ul><li>Data Scientist</li><li>Machine Learning Engineer</li><li>AI Researcher</li><li>Software Developer in AI</li><li>Robotics Engineer</li><li>Consultant in AI Solutions</li></ul>

Apply View university