Master of Data Science is one of the best courses to choose from that offers in-depth learning in a Data Science and Data Analytics. An MS Degree in Data Science and Data Analytics from the Memorial University of Newfoundland has consistently made its place among the top global universities. International students prefer this course at the Memorial University of Newfoundland due to its high graduate employability rate.

Memorial University of Newfoundland offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Data Science and Data Analytics from the Memorial University of Newfoundland, students will be competent to carry out extensive research work in the field.

The interactive curriculum, vast research opportunities and exceptional teaching faculty at Memorial University of Newfoundland offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Data Science and Data Analytics from the Memorial University of Newfoundland is a great choice for students who want to analyse the field in great depth.

Why Study Data Science at Memorial University of Newfoundland

  • A popular choice for international students with a diverse community
  • Learn from the best faculty members and become their research assistants
  • High-end labs to facilitate research work
  • Excellent placement programs after course completion

Course Highlights

Official website

link to course page

Annual tuition fees annual tution fees info

CA$26,937 / year

Total tuition fees total tution fees info

CA$26,937 / 12 months

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5000+ Students

Availed education loan

3000+ Cr

Loan amount sanctioned

100% Free

Assistance for loan process

Application Fee


Application Deadline

January 15

  Fall standard deadline

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Test Score Requirements test score requirement

Minimum english score required









Application Pre-requisites application pre requisite

  • Online Application form
  • Application Fee
  • Transcripts
  • Two letters of appraisal
  • Resume or curriculum vitae
  • English Language Proficiency

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Course Details

Core subject areas

  • Statistical inference for data science (propaedeutic)
  • Basics of Python and R (propaedeutic)
  • Linear algebra for regression analysis (propaedeutic)
  • Regression models
  • Statistical exploration of data