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postgraduate

Degree

Master of Science in Big Data Analytics: Applied Modelling and Quantitative Methods (Course-Based)

postgraduate

Degree

Master of Science in Big Data Analytics: Applied Modelling and Quantitative Methods (Course-Based)

Quick facts

  • Annual tuition (2022)

    $29,331 CAD

  • Application fee

    $100 CAD

  • Duration

    16 Months

  • PGWP

    16 months

  • Min GPA

    77 out of 100

Deadlines

Term start& deadline Deadline
Fall-September 01-February-2024 2024-02-01
Winter-January 01-June-2023 2023-06-01
Summer-May 01-December-2023 2023-12-01

Overview

Master of Science in Big Data Analytics: Applied Modelling and Quantitative Methods

Delve into the rapidly growing field of data science.

Trent university is one of the first universities in Canada to work to fill the training gap for professionals in data science. 

You will be uniquely prepared with the tools and techniques you require to work with and analyze today’s increasingly complex data sets in all areas of the sciences, as well as the business world. 

This professional program can be completed in 16 months and emphasizes practical skills in visualization, data mining, cloud-based approaches, and parallel programming skills. 

Estimate your cost

Residency
Count of person

$34,390

Total costs

yearly

Details


Cost of living 1 person $7,578
Accommodation 1 bed room $5,059
Tuition 1 person $29,331

Hourly wage

Min wage

17.20 CAD / 1 hour

in Canada every student can work 20 hour per week

Required documents

  • Transcripts
  • Two Letters of Reference
  • Proof of English Language Proficiency
  • Personal Statement
  • Detailed Resume or Curriculum Vitae
  • Passport and Visa

Language requirements

GRE
not required
GMAT
not required

IELTS

6.5
6
listening
6
writing
6
speaking
6
reading

TOEFL

86
20
listening
20
writing
20
speaking
20
reading

PTE

59
-
listening
-
writing
-
speaking
-
reading

Cambridge

-
listening
-
writing
-
speaking
-
reading
Language pathway (conditional offer) is available

*Please note: Duolingo is NOT accepted by the School of Graduate Studies at Trent, and is only applicable for Undergraduate applications.

Applicants whose English language proficiency is below Trent’s accepted scores are invited to apply for gradual admission through the Trent-ESL: English for University Program. 

The Trent-ESL: English for University  program is an intensive English language, academic skills and university transition program that provides a strong foundation for academic success at the university level, and immediate progression to full-time undergraduate degree studies upon successful completion of the program.

Combine ESL + Credit Study – Trent is the only ESL program in Canada where students can earn up to three full credits towards their undergraduate degree while studying ESL

  • Conditional admission pathway to Trent University
  • Top two levels of ESL – Academic English 1 and Academic English 2 – are now each worth one full credit towards your degree at Trent
  • 18-24 hours English for University + credit course study each week
  • Students allowed to take up to two, half-credit courses in the top two ESL levels
  • Small, dedicated classes
  • Academic support from start to finish

For direct admission to ESL Level 3:

  • IELTS: 5.0 overall, with a 5.0 in writing
  • TOEFL IBT: 60
  • TOEFL PBT: 500
  • CAEL 37.5 - 45

For direct admission to Academic English 1 worth one full undergraduate credit:

  • IELTS: 5.5 overall, with a 5.5 in writing
  • TOEFL IBT: 70
  • TOEFL PBT: 525
  • CAEL 47.5 - 52.5

For direct admission to Academic English 2 worth one full undergraduate credit:

  • IELTS: 6.0 overall, with a 6.0 in writing
  • TOEFL IBT: 80
  • TOEFL PBT: 550
  • CAEL 55 - 59

Start studying English in September, January, April, and June (4 intakes!).


Academic background and requirement

  • Minimum B+ (77%) or equivalent in the work of the last four semesters or the last two undergraduate years (last ten full credits)
  • B.A. or B.Sc. honours degree (a four year undergraduate bachelor's degree) in one of the traditional disciplines: Anthropology, Biology, Business Administration, Chemistry, Computing & Information Systems, Economics, Geography, Humanities, Mathematics, Physics & Astronomy, Philosophy, or Psychology

Career opportunities

  • Chief Data Officer
  • Data Scientist
  • Data Solutions Architect
  • Business Manager
  • Business Analyst

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