Seneca College · Canada

Master of Artificial Intelligence Design & Development

Campus Masters Full Time

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Delivery

Campus

Study mode

Full Time

Level

Masters

Starts

Fall, Spring

Introduction

Master of Artificial Intelligence Design & Development is a Masters program taught at Seneca College, Canada. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.

The Master of Artificial Intelligence Design & Development at Seneca College is tailored for those aiming to make a significant impact in the field of AI. The course delves into the fundamental concepts of AI, including machine learning, neural networks, natural language processing, and computer vision. Through a mix of theoretical modules and practical projects, students learn to design and develop advanced AI applications that meet real-world needs.

The typical structure of the program combines in-depth study of programming languages, data analytics, and AI ethics, ensuring that graduates not only understand the technical aspects of AI but also the social implications of their work. Students will have the opportunity to engage in collaborative projects, working alongside industry professionals to tackle pressing issues using AI methodologies.

By studying in this progressive country known for its innovation and technological advancements, students will gain access to a vibrant tech scene and various networking opportunities. The multicultural environment enhances the learning experience, offering diverse perspectives essential for developing global AI solutions.

Admission Requirements

The minimum requirements for admission in Master of Artificial Intelligence Design & Development at Seneca College for all applicants (Domestic or International) are:

program specific academic requirment set by Seneca College.
English Language OR any other language requirments as set by Seneca College as pre-requiste for admission in Master of Artificial Intelligence Design & Development.

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

Applicants are usually expected to hold a bachelor's degree in Computer Science, Engineering, or related fields. A strong foundation in mathematics and programming is essential, along with demonstrated problem-solving skills. Relevant work experience or prior studies in AI or machine learning will be advantageous and may strengthen an application.

International students need to demonstrate proficiency in English. Typically, an IELTS score of 6.5 or a TOEFL score of 85 is required, with no individual band score below a certain level. Students should consult the university's English language requirements for specific details.