Master of Business Analytics atYork University , TorontoSchulich School Of Business

Duration

12 months (Full Time)

Course Level

PG Degree

International Students Admission Website

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Type of University

Public

Year of establishment

1959

Highlights

  • The Schulich Master of Business Analytics (MBAN) is a 12-month full-time program, designed to give students the tools and techniques to become an expert in this evolving, high-demand field
  • The capstone of the program is an Analytics Consulting Project in which students will spend two terms working with real data in service to the community.
  • Students will directly interface with industry leaders and develop both technical and organizational expertise
  • The MBAN is recognized by the Vector Institute for Artificial Intelligence as delivering a curriculum that equips its graduates with the skills and competencies sought by industry.

Ranking

  • University Rankings
    • #301-400

      - ARWU (Shanghai Ranking) 2021

    • #494

      - QS 2022

    • #401-500

      - THE (Times Higher Education) 2022

    • #456

      - US News & World Report 2022

Fees & Expenses
1st year tuition fees
Fees componentsAmount
Tuition & feesINR 32,24,380
Other expenses in 1st Year
Fees componentsAmount
Hostel & MealsINR 10,10,259
InsuranceINR 45,625
Personal ExpensesINR 1,81,050
TotalINR 12,36,934

Calculated at the exchange rate of 1 CAD = INR 60.35

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Tuition & expenses were last updated on 1ˢᵗ July 2022

Entry Requirements

QualificationEntry Criteria
12th

No specific cutoff mentioned

Graduation

No specific cutoff mentioned

  • Applicants must have:
    • A four-year undergraduate degree from a recognized post-secondary institution with a minimum B+ average in the last two full years (or equivalent) of academic work in one of the following subjects: Mathematics, Business, Computer Science, Economics, Engineering or Science. 
    • Undergraduate degree holders in other subject areas (Social Sciences, Arts and Humanities, Fine and Performing Arts, Education etc.) will be considered if they have completed a significant number of university courses in relevant topics (see list below).
    • Successful applicants will have completed at least one university course on a listed topic, in two of the following categories.
      • Mathematics/Statistics
        • Introductory Statistics
        • Calculus
        • Data Mining and Machine Learning
        • Introduction to Data Science
        • Linear Algebra
      • Computer Science
        • Introduction to Programming
        • Introduction to Data Structures
        • Algorithms
        • Introduction to Databases
        • Data Mining
      • Business:
        • Business Intelligence
        • Data Management
        • Data Science for Business
        • Artificial Intelligence for Business
        • Business Analytics

TOEFL

Marks - 100/120

  • With no less than 23 in each component

IELTS

Marks - 7/9

  • With no less than 6.5 in each component

GRE

No specific cutoff mentioned

Other eligibility criteria
Post-degree work experience is recommended but not required. Applicants who have completed at least two years of full-time study at an accredited university in a country (or institution) where English is the official language of instruction are not required to submit an English proficiency test.
Conditional Offer

Not mentioned

Application Process

Step 1: Prepare documents for application

LOR
  • Two references

Step 2: Additional documents required

Step 3: Start your online application

Step 4: Application fees for this course

Step 5: Application deadline

Important Dates

May , 2022

Course Commencement Date

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

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