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MCGILL UNIVERSITY, MONTREAL, QUEBEC - PROGRAMS

Montreal, QuebecLOCATION
UniversitySCHOOL TYPE
Estd 1821Established Year
  40493Enrollment

Certificate (Data Science and Machine Learning)

 13 weeks
 full time
  English
 on campus

$ 13,401 

1st Year
Fees

International Student Tution

Check Detailed Fees

Program Description

  • Certificate in Data Science and Machine Learning at McGill University allows students to complete this course in 13 weeks.
  • Students need to complete 15 credits successfully to graduate from this McGill’s Data Science and Machine Learning program.
  • This Department offers M.Sc and Grad Cert programs that attract students from all over the world.
  • The students to faculty ratio at McGill University for this Data Science and Machine Learning program is 17:1.
  • The Data Science and Machine Learning Program at McGill University offers advanced training in the critical, historical, and theoretical analysis of:
    • Application of statistical analysis
    • Machine learning
    • Data mining
    • Data management
    • Data visualization
  • As one of the fastest-growing industries in Canada, data science has become a lucrative career path for many.
  • During the program, students will have the opportunity to work in cross-functional teams to translate learnings into business insights to help guide business decisions.
  • After graduation from this program career opportunities for students are:
    • Machine Learning Scientist
    • Applications Architect
    • Enterprise Architect
    • Data Architect
    • Infrastructure Architect, etc. with an average salary of 47,250 USD.

Program Highlights

Degree Type Offered Certificate
Duration13 weeks
Delivery TypeFull Time
Admission Intake Fall (Deadline - Jan 15)
Language Proficiency TOEFL,IELTS
Program Urlhttps://www.mcgill.ca/continuingstudies/program/professional-development-certificate-data-science...

Eligibility & Entry Requirement

Academic Eligibility:

  • Applicants should be graduates of a recognized university and hold a bachelor's degree of recognized reputation.
  • The academic standing of at least a B, or 2nd class, upper-division, or Cumulative Grade Point Average (CGPA) of 3.0 out of 4.0 is normally required.

Indian Student Eligibility:

  • Indian students need to maintain an overall average of 60% in each year.
  • The minimum GPA required is 3.0/4.0 or students must have B grade in their degree.

Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test.

The above requirements are the minimum requirements and do not guarantee admission. The admissions committee will consider all evidence in the file and decide.


Required Document List

Followings are the required document:

  • Official Transcripts: Students have to submit a copy of their original transcripts.
  • Letters of Reference: Students have to submit two letters of recommendation.
  • ELP Scores: Students have to submit their English language proficiency scores like IELTS, TOEFL or other test scores.


Application Deadline

Fall
Jan 15


Scores Required

86 / 120

Avg. Score in

TOEFL

6.5 / 9

Avg. Score in

IELTS


Fees & Funding

Living Costs

HeadAvg Cost Per Year
Housing$ 9,789
Food$ 4,106

Scholarship Grants & Financial Aids

NameAmountInternational Students EligibleApplication Deadline
Forktip Women’s- Innovation Scholarship Variable Yes 30 Aug, 2020
BrokerFish International student scholarship $1,000 Yes 21 Dec, 2020

VISA & Work Study

VISA

  • International applicants who are applying for a Canadian Student VISA are required to have TRV (Temporary Resident Visa or ETA (Electronic Travel Authorization) for entry in Canada.
  • Students need these documents for student visa application:
    • Proof of Acceptance
    • Proof of Identity
    • Proof of Financial Support

Work Study

  • Work while studying International students on the study visa are still able to work 20 hours/week. 
  • Students can work part-time up to 20 hours a week combined on-campus and off-campus work during an academic session and full-time during a regularly scheduled break.

Career and Placement after Course

Career Possibilities are:

  • Machine Learning Scientist
  • Applications Architect
  • Enterprise Architect
  • Data Architect
  • Infrastructure Architect


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