MS Artificial Intelligence in Healthcare
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The Faculty of Arts & Science
Talk to ExpertMS Artificial Intelligence in Healthcare at U of T Overview
One of the most famous programs at University of Toronto is MS Artificial Intelligence in Healthcare at PG course with the duration of 16 months. Indian students applying for MS Artificial Intelligence in Healthcare program must submit all the required documents as per university guidelines. Indian students must submit proof of English proficiency exams such as IELTS and TOEFL. Indian students must apply as soon as possible, as the seats are limited. University of Toronto tuition fee for first-year is CAD 55,125. Furthermore, students must prepare themselves for crucial living cost, accommodation, hosted fee, book and more. The cost of living at University of Toronto is CAD 18,268.
Duration | 16 months Get Curriculum |
Tuition & Fees | ₹34.69 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS Artificial Intelligence in Healthcare at U of T Fees
University of Toronto MS Artificial Intelligence in Healthcare fee structure includes first-year tuition fee that all the students have to pay. Apart from the tuition fee, the students also have to spend money on stay, food and other utilities, which comprises cost of living, which is CAD 18,268. The total expense may vary, depending on the additional charges provided by the University of Toronto. The total first-year tuition fees of MS Artificial Intelligence in Healthcare is CAD 55,125.
To know more about University of Toronto MS Artificial Intelligence in Healthcare fee breakup, check out the table below:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 34,69,016 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 11,49,605 |
| Transportation | INR 80,550 |
Calculated at the exchange rate of 1 CAD = INR 62.93 | Tuition & expenses were last updated on 9ᵗʰ May 2025MS Artificial Intelligence in Healthcare at U of T Curriculum
Latest curriculum for MS Artificial Intelligence in Healthcare at U of T can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in MS at U of T
Download exam sample paper
MS Artificial Intelligence in Healthcare at U of T Entry Requirements
- CGPA - 8/10
- Read less
Applicants must have:
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Completed or be the process of completing an appropriate undergraduate degree for the concentration they are applying to.
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A standing equivalent to at least B+ (U of T 77-79%) in their final year (i.e., two terms) of study (the equivalent of 5 full credits, or 10 half credits).
- Minimum GPA: 1st Class/Div or 8.0/10; 7.5/10 from Indian Institutes of Technology
- A Minus GPA: 1st Class/Div or 9/10; 8.5/10 from Indian Institutes of Technology
- B Plus GPA: 1st Class/Div or 8.5/10; 8/10 from Indian Institutes of Technology
- Bachelors Equiv: Bachelor`s Degree, requiring a minimum of 4 years of study (e.g. BPharm, MBBS, BDS, BTech, BEng, BArch, etc.) or completion of BOTH a Bachelor`s (three-year) degree and a Master`s
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Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- N/A
- Applicants with three years bachelor's degree will be considered
- No specific cutoff mentioned
- Writing/Speaking: 22
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Register for TOEFL iBT® Test Today and get Rs 500 Off. Use code SHIKTOEFL to avail the discount. Hurry Register now for TOEFL
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read less
- with at least 6.5 for each component
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- No specific cutoff mentioned
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Work experience (including co-op placements or internships) is preferred, but not required.
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Research experience (including summer research assistantships or internships) is preferred, but not required.
- Yes
- Read lessMost of the university's admission decisions are based on interim marks, and so the majority of its offers are typically conditional on achieving acceptable final standing. Students are expected to maintain consistent academic standing for the duration of their high school (and post-secondary, if applicable) studies
MS Artificial Intelligence in Healthcare at U of T Application Process
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Three letters of reference from faculty and/or employers, with preference for at least one such letter from a faculty member in Artificial Intelligence
- CV is required
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Copies of all academic transcripts pertaining to qualifications gained from undergraduate onwards
- Applicants must indicate a preference for the concentration in Artificial Intelligence in their application
- Applicants will be asked to respond to program-specific questions addressing their interest in the concentration and objectives for the program
- Proof of ELP
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Any other relevant information applicant would like to share with the admissions committee e.g. links to projects, research papers, etc.
- GRE scores (if applicable)
MS Artificial Intelligence in Healthcare at U of T Rankings
| Rank | Rank Publisher |
|---|---|
| #13 | |
| #23 | |
| #13 |
MS Artificial Intelligence in Healthcare at U of T Placements
| Particulars | Statistics (2023) |
|---|---|
| Internship Available | Yes, Applicants must complete eight-month industrial internship, CSC 2703H (3.5 FCEs). The internship is coordinated by the department, and evaluated on a pass/fail basis. |
University of TorontoStudents Ratings & Reviews
36 Verified Reviews- 28% students never faced discrimination in this university
MS Artificial Intelligence in Healthcare at U of T Highlights
- The AI in Healthcare concentration aims to provide a training background for students who desire to enter the field as either medical experts or computer scientists/engineers.
- This concentration focuses on novel AI techniques, not applications, and is designed for students with previously developed computer science backgrounds.
- This subdiscipline is at the forefront of a new chapter of medicine we are entering where many disciplines that traditionally were deemed outside the realm of healthcare have the opportunity and ability to improve patient healthcare and the quality of life.
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