M.S Computational Science and Engineering at Queen's University [QUEENSUNI], Kingston Fees, Entry Requirement & Application Deadline

Master of Science [M.S] [Computational Science and Engineering] From Queen's University

Kingston, OntarioLocation
UniversitySchool type
Estd1841established year
Public
Partner [6 Courses]
7.6/10

Master of Science [M.S] (Computational Science and Engineering)

2 years
Full Time
On Campus

$9,307 /Yr

CA$12,927 /Yr

Tuition Fees

Year1st Year Fees
Tuition Fees$9307 (CAD 12927)

Other Expenses

HeadAvg Cost Per Year
Rent$9564 (CAD 13284)
Food$2678 (CAD 3720)

Previous Year Tuition Fees

Year1st Year Fees
2022$11226 (CAD 15591.64)

Important Dates

EventApplication Date
Application Deadline For 2025 Intake Jan 31, 2025
  • The Master of Science in Computational Science and Engineering at Queen’s University is a 2-year program.
  • These Ranks are given to the Program by Maclean’s in 2020:
    • In terms of program reputation, this program ranks 9th among Canadian Universities.
    • In terms of research reputation, this program ranks 7th among Canadian Universities.
  • The graduation rate for this program is 78.8%, Which shows that the majority of the students get graduated.
  • The Employment rate after
    • 6 months after graduation is 93.3%.
    • 2 years after graduation is 100%.
  • The Acceptance Rate is 20% which increases the chances of students getting enrolled.
  • The Student to Teacher ratio is 20:1, which bridges the gap between Students and Teachers.
  • The Female to male ratio is 5:5 which gives equal chances for both the genders to compete.
  • The Average internship salary of the student is 30,750 USD.
  • The Master of Science is a coursework-based graduate program that provides a mixture of technical and professional skills to give students a distinct career advantage.
  • This degree can take a student's career in many directions. Many students choose to continue their academic inquiry with a Master’s. Students are equipped with a strong foundation for careers in:
    • Big Data Engineer
    • Machine Learning Engineer
    • Data Scientist
    • Data Analyst
    • Blockchain Developer/Engineer
    • Software Developer

Eligibility & Entry Requirement

Academic Eligibility:

  • Should have a Bachelors Degree in relevant while applying for admission.
  • A Minimum of 65% in an undergraduate degree is required to enroll in the course.
  • OR, Department requires a B+ average or equivalent for admission to this program.

English Language proficiency:

  • Applicants from India, China, Vietnam, Philippines, and Pakistan should note that IELTS is the only proficiency score accepted by the Study Direct Stream (SDS) program.
  • Meeting the minimum English requirements does not guarantee admission. Students with higher English proficiency scores will receive priority in the admission assessment process.
  • Not all students will qualify for EAP-3106 in place of the required IELTS or TOEFL test scores.

Submission of GRE scores is not compulsory for this program, however, it is recommended to submit a minimum 300+ score for a better chance of admission.

The above requirements are the minimum requirements and do not guarantee admission. The admissions committee will consider all evidence in the file and decide. To know more about the requirem….Read More


Scores Required

88 / 120

Avg. Score in

TOEFL

6.5 / 9

Avg. Score in

IELTS

65 / 90

Avg. Score in

PTE


Required Document List

The Documents required are:

  • College Transcripts - The marks statement provided by the education board after completion of the previous academic qualifications.
  • Financial Documentation - The Proof that shows the financial background of the student.
  • Letter of Recommendation - This shows who recommended the student to pursue the degree.
  • Statement of Purpose - This is an essay or any written statement written by the student while applying.
  • Resume/CV - This provides a summary of the experience and skills of the student.
  • English Language Requirement Scores like TOEFLIELTS,..etc.

Ranking

20252024202320222021202020192018

Times Higher Education logo
Engineering 401 out of 1250 in Global Ranking
( #10 out of 30 in Canada 2025)

QS World University logo
Engineering 207 out of 550 in Global Ranking
( #8 out of 19 in Canada 2025)

Do you think the Rankings are wrong ?  Report Here


Career and Placement after Course

  • Big Data Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Data Analyst
  • Blockchain Developer/Engineer
  • Software Developer


Comments


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Do you think the Dates are wrong ?  Report Here

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