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QUEEN'S UNIVERSITY, KINGSTON, ONTARIO - PROGRAMS

Kingston, OntarioLOCATION
UniversitySCHOOL TYPE
Estd 1841Established Year

Master of Science [M.Sc] (Computaional Science and Engineering)

 2 years
 full time
  English
 on campus

Program Description

  • 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

Program Highlights

Degree Type Offered Master
Duration2 years
Delivery TypeFull Time
Admission Intake Fall (Deadline - Dec 01)
Language Proficiency TOEFL,IELTS,PTE
Program Urlhttps://www.queensu.ca/sgs/graduate-calendar/programs-study/computational-science-and-engineering

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


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.


Application Deadline

Fall
Dec 01


Scores Required

88 / 120

Avg. Score in

TOEFL

6.5 / 9

Avg. Score in

IELTS

65 / 90

Avg. Score in

PTE


Fees & Funding

Living Costs

HeadAvg Cost Per Year
Room and board$ 8,550
Food$ 1,620

Ranking

QS World University 2020

Ranked #151/ 600

Computer Science and Engineering [ International ]


Scholarship Grants & Financial Aids

NameAmountInternational Students EligibleApplication Deadline
Ontario Graduate Scholarship $10,847 Yes N/A
(ISC)² Women’s Cybersecurity Scholarships Variable Yes 19 Feb, 2021
FINCAD Women in Finance Scholarship $20,000 Yes N/A
Ontario Graduate Fellowship $8,459 Yes N/A
Aga khan Foundation Scholarships Variable Yes 31 Mar, 2020
Ellis R. Ott Scholarship for Applied Statistics and Quality Management Variable Yes 01 Apr, 2020
Collegedunia $150 Scholarship Program $150 Yes N/A
BrokerFish International student scholarship $1,000 Yes 21 Dec, 2020
Go Clean Scholarship $3,500 Yes 31 Dec, 2020
VueVille Future Technology Scholarship $1,000 Yes 30 Sep, 2020
Debesh Kamal Scholarship $1,385 Yes 30 Apr, 2020
Bharat Petroleum Scholarship 2020 Variable Yes N/A
JN Tata Endowment Scholarship Variable Yes 09 Mar, 2020
Paul Foundation scholarships $20,174 Yes N/A
Forktip Women’s- Innovation Scholarship Variable Yes 30 Aug, 2020
Show More

VISA & Work Study

VISA

  • Student visa and Visitor Visa (Optional) are required to study in Canada. 
  • The Student visa is a document that the Canadian government issues that allow foreign nationals to study at institutions in Canada.
  • A Student visa is usually valid for the length of the student’s study program, plus an extra 90 days. The 90 days lets the student prepare to leave Canada or apply to extend their stay.
  • The cost of the Student visa is 112 USD.
  • The students need these documents to apply for a study permit:
    • Proof of acceptance i.e The offer letter that the student received from the university.
    • Proof of identity 
    • Proof of financial support i.e Documents showing the financial status.

Work Study

  • Students need to apply for Work-study for the respective Term:
    • Fall and Winter Term – September 14th (Deadline)
    • Summer Term – May 31st (Deadline)
  • Students are paid 10.5 USD Per Hour during the Work-Study Program.
  • Students need to pay an Entitlement fee of 1,125 USD Per Term While Applying.

Career and Placement after Course

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



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