

M.sc in Computational Science and Engineering
- Public University
School of Graduate Studies
M.sc in Computational Science and Engineering at Queen's University Overview
The Queen's University offers a really good M.sc in Computational Science and Engineering program at the PG level, which lasts for 2 years. To get admission to the program, students must meet the requirements for the course which include having a valid score on tests like IELTS, TOEFL, PTE and Duolingo. The Queen's University tuition fee for the first year of the M.sc in Computational Science and Engineering is CAD 12,927 (INR 890,800). Also, the students should budget well for living expenses, which has:
- Accommodation (rent or hostel)
- Food
- Books
- Other important utilities
Duration | 2 years Get Curriculum |
Tuition & Fees | ₹8.78 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
M.sc in Computational Science and Engineering at Queen's University Fees
To get admission in M.sc in Computational Science and Engineering at Queen's University students need to cover tuition fees and living costs. The fee structure varies based on whether the student is domestic or international. For international students the tuition fee for the first year is CAD 12,927 (INR 890,800). In addition to these students should budget for
- Other living expenses
- including
- housing
- food
- transportation
- books and personal expenses
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 8,77,963 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 8,10,522 |
| Insurance | INR 46,455 |
M.sc in Computational Science and Engineering at Queen's University Curriculum
Here, candidates can click the green button below to download and view the Queen's University M.sc in Computational Science and Engineering. Subjects taught, electives offered, and other course material are all included in the curriculum PDF. It also discusses how the course structure is divided in each semester.
Download exam sample paper
M.sc in Computational Science and Engineering at Queen's University Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- 70%
- Applicant must have an undergraduate degree

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- No specific cutoff mentioned
- Read less
- With 24 in Writing, 22 in Speaking, 22 in Reading, 20 in Listening
-
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- Marks - 65/90
- NA
- Marks - 7/9
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- No specific cutoff mentioned
M.sc in Computational Science and Engineering at Queen's University Application Process
- Two copies of official transcripts from all post-secondary institutions attended
- English language proficiency test scores
- Statement of interest
- Pre-Authorized Payment Plan (PPL) is a payment plan initiated for graduate students only
- For students not on the PPL, fees are due according to the regular due dates (September 30 for Fall term, January 10 for Winter term and May 1 for Summer term)
- The PPL will pick up fees that have been assessed in SOLUS for tuition, student assistance levy, student activity fees , Residence fees, MyFunds (meal plans) and UHIP, and divide the amounts owing over the scheduled withdrawal dates of the plan
- Monthly payments are automatically withdrawn on the specified date, no need to make online payments
M.sc in Computational Science and Engineering at Queen's University Rankings
| Rank | Rank Publisher |
|---|---|
| #173 | |
| #301 | |
| #101 |
M.sc in Computational Science and Engineering at Queen's University Placements
| Particulars | Statistics (2023) |
|---|---|
| Internship Available | Yes |
M.sc in Computational Science and Engineering at Queen's University Highlights
- Queen's University is one of the first universities in Canada to launch a university-wide specialization in computational science and engineering
- It guides the students with the latest methods for applying the power of high-performance computing to scientific problems in their area of study
- The course gives students a head start in fields such as drug discovery, behavioural science, genomics, mathematical economics, digital imaging and nanotechnology etc
- The Queen's Collaborative Graduate Program in Computational Science and Engineering connects today's databases, algorithms, simulations and information systems with tomorrow's scientific breakthroughs
M.sc in Computational Science and Engineering at Queen's University Scholarships
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