MEng Data Science and Analytics atCarleton University , OttawaSchool of computer science

Course Commencement Date Sep , 2022 View all dates

Duration

2 years (Full Time)

Course Level

PG Degree

International Students Admission Website

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Type of University

Public

Year of establishment

1942

Highlights

  • The Data Science and Analytics (DSA) master’s are a natural extension of the popular Collaborative Specialization in Data Science (CUIDS) that was launched in 2015 which is offered jointly by several departments.
  • The programs offer opportunities to undertake groundbreaking research in the field of data science and analytics from several directions such as statistics, AI methods and software engineering
  • One distinguishing feature of Carleton’s DSA program is that it is a joint program between the Faculty of Science and Faculty of Engineering and Design, spanning four academic units – thus, offering a wide disciplinary breadth, providing students with multiple perspectives

Ranking

  • University Rankings
    • #401-500

      - ARWU (Shanghai Ranking) 2021

    • #601-650

      - QS 2022

    • #601-800

      - THE (Times Higher Education) 2022

    • #481

      - US News & World Report 2022

Fees & Expenses
1st year tuition fees
Fees componentsAmount
Tuition & feesINR 16,10,440
Other expenses in 1st Year
Fees componentsAmount
Hostel & MealsINR 8,67,592
InsuranceINR 45,625
Books and SuppliesINR 72,420
TotalINR 9,85,637

Calculated at the exchange rate of 1 CAD = INR 60.35

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Tuition & expenses were last updated on 6ᵗʰ September 2022

Entry Requirements

QualificationEntry Criteria
12th

No specific cutoff mentioned

Graduation

No specific cutoff mentioned

  • Applicants must hold a 4-year bachelor's degree equivalent: Completion of BOTH a Bachelor’s (three-year) degree and a Master’s or a Bachelor’s degree requiring four years of study (e.g., B.Pharm., M.B.B.S., B.Tech., B.Eng., or B.Arch)
  • Minimum requirement overall: First class division
  • The normal requirement for admission to the M.Eng. Data Science and Analytics is a bachelor's degree in electrical engineering, software engineering, computer systems engineering, or a related discipline with an average of at least B+

TOEFL

Marks - 86/120

  • 20 in reading and listening; 22 in speaking and writing

PTE

Marks - 60/90

  • minimum 60 in each Communicative Skill

IELTS

Marks - 6.5/9

  • minimum 6.0 in each band

Conditional Offer

Yes

Conditional admissions may be offered

Application Process

Step 1: Prepare documents for application

LOR
  • Letter of references are required
  • A referee is a faculty member with whom the candidate has studied and is able to assess his/her potential for graduate-level study and research. References from non-academic supervisors may be accepted

Step 2: Additional documents required

Step 3: Start your online application

Step 4: Application fees for this course

Important Dates

Sep , 2022

Course Commencement Date

Up-coming
Scholarships
Scholarship information is not available. You can apply to non-college specific scholarships available for Canada.

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