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Artificial Intelligence Degrees Abroad
The study of artificial intelligence (AI) is closely linked to computer science, and is concerned with building artificial systems that behave intelligently. AI is becoming common in everyday technology, and its application could help to solve many real-world problems we face now, and may face in the future.
AI can cover the understanding of human intelligence through the use of computer models, and the techniques and technology required to build the systems capable of intelligent decisions. This means artificial intelligence programs can cover elements of psychology, computing and engineering.
AI is a popular subject for international students to study overseas, and it means you can choose from a huge range of programs. It also means you might be able to take advantage of better facilities and technology than you be able to get if you studied at home
Robotics is defined as the field of computer science and engineering that deals with the design, construction, operation, and application of robots. Robots are automated machines that can assist humans in a variety of settings, from manufacturing processes, to working in critical conditions, unsuitable for human life. Robotics specialists aim to achieve diverse tasks by designing mechanical devices, able to complete them intelligently. Robotics is related to other science sub-fields such as computer science, character animation, machine design, cognitive science, bio-mechanics. Main sub-divisions of robotics include: android science, artificial intelligence, nano-robotics, robot surgery.
Studying robotics, students will acquire information related to computer graphics, gadgetry, mobile robot programming, robotic motion methods, mathematical algorithms, social implications of technology, and more. Apart from learning specific scientific methods, graduates will gain skills that involve mathematical thinking but also artistic vision. Robotics will prepare specialists in competencies such as technology design, programming, repairing and installing equipment for machines, etc.
Career paths in robotics cover a large subject palette, from medicine to engineering and IT. Robotics graduates usually engage in jobs as laboratory assistants, testing technicians, quality assurance staff, programmers, systems controllers, or researchers.
Artificial Intelligence is a sub-domain of Computer Science that is purely an amalgamation of Mathematics, Philosophy, Psychology, Social Science and Linguistics. In the last few years, the market demand of Artificial Intelligence has been constantly booming due to its close connection to other high-demand domains like Machine Learning, Data Science and Robotics. Data collected by Burning Glass’ LaborInsight database suggests that in the last 2 years, there have been nearly 5,500 job postings seeking Master-level graduates in Artificial Engineering and approximately 29,000 job postings for skills pertaining to Machine Learning. In view of the growing demand for Artificial Intelligence, many universities in Canada are introducing master-level degrees in Artificial Intelligence for a comprehensive study experience for students willing to study in Canada.
A masters in Artificial Intelligence in Canada is a graduate-level program that can be typically completed in a duration of 1-2 years as per the program requirements. Students can opt for a course-based, thesis-based or a project-based program offered both on a full-time and part-time basis as per their suitability. For an international student, masters in Artificial Intelligence in Canada costs around 17,900 CAD to 35,000 CAD depending upon the university one seeks admission into to and international scholarships availed to study in Canada. It is estimated that students completing a master degree in Artificial Intelligence from Canada can make up to 81,265 CAD based on their competencies and experience.
Artificial Intelligence Program Structure
The program content and structure of an AI degree will be different from university to university. It’s quite common for AI to be combined with another subject, for example computer science or robotics. It’s therefore important to look closely at the curriculum and modules that make up each program before you apply.
Most artificial intelligence programs will be made up of mandatory modules and elective modules you can choose yourself. This means you can tailor part of your degree to match your interests and career plans.
At undergraduate level you can study AI over three of four years as a BSc, or a BEng. The main difference will be that the BEng may be accredited by an engineering body, and focus more on the engineering side of the subject.
At graduate level you can study an MSc in artificial intelligence over one or two years, or you can study an MPhil or PhD, which can usually be completed in between two and four years.
Here are some of the common areas and subjects you can expect to cover:
- Principles of programming and computation
- Systems and architecture
- Algorithm design
- Software engineering
- Fundamentals of artificial intelligence
- Mathematical techniques for artificial intelligence
- Machine learning
- Artificial neural networks
- Robotics
Why Study Masters in Artificial Intelligence in Canada
While there are so many high-demand programs available, such as MS in Data Science or MS in Machine learning, can it be a good choice to pursue a masters in Artificial intelligence? Let’s read further to get better clarity on this.
Gartner’s one of the surveys conducted on IT Senior Leaders revealed that:
- investments in cognitive and artificial intelligence are likely to reach $57.6 billion in the year 2021.
- Furthermore, it is predicted that almost 46% of the IT companies have either short-term or long-term plans to invest in AI and recruit more number of individuals.
- However, companies are facing a shortage of individuals who are skilled and experienced in Artificial Intelligence.
Thus, with growing demand and high potential of Artificial Intelligence, it can be highly advantageous for students to seek a master-level degree in AI.
Now the next question is why study Masters in Artificial Intelligence in Canada? The reason why you should consider studying masters in Artificial Intelligence in Canada is that over a span of 5 years, Canada has emerged as a leader in the domain of Artificial Intelligence as:
- One of the reports of the University of Toronto suggests that over a decade, AI firms have almost doubled to 670 leading to the investment of over $3 billion and creation of nearly 50,000 job postings in the field. This has been made possible with collective investments made through public & private investment, an increase in research capacity and talent.
- The major boom in the domain of Artificial Intelligence can be further attributed to the successful launch of Pan-Canadian AI Strategy of the federal government in the year 2017 with a plan of investing $125 million for 5 years.
- Also, health-related applications of Artificial Intelligence have attracted significant investments from private sectors, especially dealing with cloud computing and cybersecurity, with an increase of 15% from 2015 to 2019.
Types of Masters in Artificial Intelligence in Canada
In Canada, a master-level program in Artificial Intelligence is offered across the following different types:
- Master of Science (MS) in Computing Science – Artificial Intelligence
- Master of Mathematics (MMath) in Computer Science – Artificial Intelligence
- Master of Science (MS) in Computing Science – Machine Learning
- Master of Management (MMgt) in Artificial Intelligence
- Master of Data Science and Artificial Intelligence
- Graduate Diploma in Artificial Intelligence
- Graduate Certificate in Artificial Intelligence
Top Universities Offering Masters in Artificial Intelligence in Canada
Nearly 26 universities offer graduate-level programs in Artificial Intelligence. Here we bring you the top universities that are offering comprehensive master-level programs in Artificial Intelligence:
| World Rank | University | Course | Tuition Fee (CAD) | Course Duration |
|---|---|---|---|---|
| 91-100th | University of Waterloo | Master of Mathematics in Computer Science – Artificial Intelligence | 39,996 | 1-2 years |
| 91-100th | University of Waterloo | Master of Data Science and Artificial Intelligence | 39,996 | 1 year (full-time); 3 years (part-time) |
| 133 | York University | Master of Management in Artificial Intelligence | 47,062 | 1 year |
| 136 | University of Alberta | Master of Science in Computing Science – Machine Learning(Thesis-based) Master of Science in Computing Science – Artificial Intelligence (Thesis-based) | 17,400 | 1-2 years |
| 200 | Queen’s University | Master of Management in Artificial Intelligence | 83,400 | 1 year |
| 601-800th | Lakehead University | Master of Science in Computer Science – Artificial Intelligence | 48,000 | 1 year (Course); 2 years (Thesis-based) |
Other Graduate Programs in Artificial Intelligence in Canada
In addition to typical master degree programs in Artificial Intelligence, there are a few top universities in Canada that offer graduate-level certificate and diploma programs in Artificial Intelligence:
| Institute | Course | Qualification Offered | Tuition Fee (CAD) |
|---|---|---|---|
| Georgian College | Graduate Certificate in Artificial Intelligence – Architecture, Design, and Implementation | Graduate Certificate (1 year) | 17,900 to 19,280 |
| St. Francis Xavier University | Post-Baccalaureate Diploma in Artificial Intelligence | Graduate Diploma (2 years) | 5,835 |
| Fleming College | Ontario College Graduate Certificate in Artificial Intelligence and Virtual Reality | Graduate Certificate (1.5 years) | 26, 518 |
How to Apply for Masters in Artificial Intelligence in Canada?
A variety of graduate-level programs in Artificial Intelligence are offered at the majority of the top colleges in Canada, most of them offered as a specialization along with other courses like Machine Learning, Data Science and Computer Science. In case you are considering to study in Canada and willing to take up a graduate program in Artificial Intelligence, you will be required to keep the following information in mind:
How to Apply?
- All Canadian Universities accept online applications for all of their courses, making it a simple process for international students. All you need to do is to visit the respective program page and look for the online application portal.
- Universities in Canada follow a different norm when it comes to online applications as few universities accept the supporting documents online along with the application, while a few will require you to send the documents separately via post.
- Also, there are a few universities which accept paper applications too, for which you will be required to simply download the PDF version of the application form and send it along with the supporting documents.
Application Fee and Intake Session for Masters in Artificial Intelligence in Canada
For Masters in Artificial Intelligence in top universities in Canada, international students need to apply within the following intake sessions and pay the respective application fee:
| University | Application Fee (CAD) | Intake Session |
|---|---|---|
| University of Waterloo | 125 | January (MMath in Comp Sci – Artificial Intelligence); September (Master of Data Science and Artificial Intelligence) |
| York University | 130 | September |
| University of Alberta | 100 | September |
| Queen’s University | 110 | January |
| Lakehead University | 100 | September |
| Georgian College | 100 | January |
| St. Francis Xavier University | 100 | January |
| Fleming College | 100 | January |
Admission Requirements for International Students
International students need to make sure that they meet the below-mentioned requirements to get admission into a Masters in Artificial Intelligence in Canada:
- Basic Academic Requirement:
- In order to study Masters in Artificial Intelligence in Canada, be it any university, you will be required to have a 3 or 4-year honours bachelor-level degree or equivalent in the subject areas like data science, computer science, statistics, mathematics, computing science, machine learning, robotics or any related field with a minimum average of 70%.
- In addition to the basic academic requirement, many universities also demand experience in either Computer Science or statistics.
- For the Masters of Management in Artificial Intelligence, some kind of professional experience is desirable, even an internship experience will also do.
- Academic Test Scores Required: A valid GRE or GMAT score needs to be submitted depending upon the program requirement.
| University | GRE Score | GMAT Score |
|---|---|---|
| University of Alberta | 309 | 560 |
| University of Waterloo | 309 | 560 |
| Queen’s University | 315 | 600 |
| York University | 315 | 600 |
| Lakehead University | 300 | 500 |
| Georgian College | Not Required | Not Required |
| St. Francis Xavier University | Not Required | Not Required |
| Fleming College | Not Required | Not Required |
- Supporting Documents:
- Academic transcripts
- Updated resume or curriculum vitae
- Two reference letters
- Essay (Required by some)
English Language Proficiency Tests
International students with no formal education in English will be required to produce scores of one of the English language tests to prove proficiency in the language. Some of the English language tests accepted by most of the Canadian Universities are Internet-based TOEFL, IELTS and PTE Academic.
The corresponding English Language Proficiency Test for Masters in Artificial Intelligence in Canada offered at the top Canadian universities are stated below along with the minimum scores required:
| University | IELTS Score | Internet-based TOEFL | PTE Academic |
|---|---|---|---|
| University of Alberta | 6.5 | 90 | 61 |
| University of Waterloo | 7.0 | 90 | 63 |
| Queen’s University | 6.5 | 88 | 60 |
| York University | 7.5 | 100 | 65 |
| Lakehead University | 7.0 | 80 | 58 |
| Georgian College | 6.5 | 89 | 58 |
| St. Francis Xavier University | 6.5 | 90 | 60 |
| Fleming College | 6.0 | 91 | 58 |
Admission Decision
Canadian Universities adopt a holistic approach and evaluate each application critically. In view of the high load of applications, it may take 4-6 weeks for complete processing of applications. In most of the cases, students are informed about the admission decision via email while they can also check the status of their application on the application portal they used for making the application. However, a few universities may convey the admission decision via post too.
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