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master

Degree

Master of Science in Data Science and Analytics

About the program

  • 24,809 CAD

    Tuition
  • 1 year

    Years of study
  • 1 year

    PGWP Duration
  • 3 out of 4.33

    Minimum required GPA

DeadLines

START & DEADLINE TERM DEADLINE APPLICATION
Fall-September 18-January-2022 18-January-2022
Fall-September 18-January-2023 18-January-2023

Master of Science in Data Science and Analytics

This unique Master of Science (MSc) degree program enables students to develop interdisciplinary skills and gain a deep understanding of technical and applied knowledge in data science and analytics. 

Graduates are highly trained, qualified data scientists who can go on to pursue careers in industry, government or research. 

The program is offered as a one-year full-time or two-year part-time MRP option and a two-year full-time Thesis option.

The MSc in Data Science and Analytics is delivered in lecture-based and hands-on lab learning environments where students can develop and apply their skills to complex, real-world datasets and data science and analytics problems.

Students can apply to participate in DMZ programming, where they have the opportunity to create their own startups or work with companies engaged in big data and data science.

Students also may have direct access to various international partners and/or exchange programs to enhance their learning experience.

Toronto Metropolitan University’s Big Data Initiative (BDI) spans many academic units and research areas. 

The Data Science Laboratory, RC4 High-Performance Computing Facility, and Privacy and Big Data Institute are part of Toronto Metropolitan University's cross-university BDI agenda to develop new tools and apply them to advance organizational performance across sectors.

The program engages with various industry and government partners from diverse domains.

Smart Cost Estimator

Count of person
Accommodation

$39,845

Total costs

yearly

$7,704

Cost of living

1 person

$7,332

Accommodation

1 bed room

$24,809

Tuition

1 person

Academic Requirements

  • A four-year bachelor’s degree (or equivalent) from an accredited institution in engineering, science, business, economics or a related discipline
  • Minimum grade point average (GPA) of 3.00/4.33 (B or equivalent) in the last two years of study.

Required documents

  • Academic/Official Transcripts
  • Language Proficiency (If Applicable)
  • Passport or Visa Documents
  • Resume/Curriculum vitae (CV)
  • Letters of recommendation
  • Statement of Interest

Language Requirements

GRE
GMAT

IELTS

7
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listening
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writing
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speaking
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reading

TOEFL

93
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listening
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writing
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speaking
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reading

PTE

63
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listening
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writing
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speaking
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reading

Cambridge

185
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listening
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writing
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speaking
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reading

Career Opportunities

  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Logistics Analyst
  • Data Architect
  • Business Systems Analyst
  • Marketing Analyst

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