Program M.Sc. in Applied Modelling and Quantitative Methods: Big Data Analytics Trent University Trent University

M.Sc. in Applied Modelling and Quantitative Methods: Big Data Analytics

Kanada

2

1

Apa yang akan saya pelajari?

Earn an M.A. or M.Sc. at one of Canada’s top research universities in this cutting-edge data-driven applied modelling program through one of four dynamic streams designed to set you up for career success. Pursue the thesis stream to collaborate across disciplines and prepare for Ph.D. studies or choose a course-based option in Data Science & Analytics, Big Data Analytics, or Big Data Financial Analytics to fast-track your career with in-demand expertise. Whether your interests lie in research, data-driven discovery, or the financial sector, this multi-stream program equips you with advanced modelling skills and real-world experience to excel in today’s data-driven economy. This interdisciplinary thesis-based option offers fresh perspectives for students pursuing an M.A. or M.Sc., bringing together scholars from across economics, computer science, math, and psychology to exchange ideas and share knowledge.Collaborate on individualized, interdisciplinary research with faculty members in a wide range of disciplines, including Anthropology, Biology, Business Administration, Chemistry, Computer Science, Economics, Geography, Humanities, Mathematics, Physics & Astronomy, Philosophy, or Psychology. This demanding research program builds a solid foundation of modelling skills that will prepare graduates interested in pursuing a Ph.D. program in the discipline of their choice.Trent is one of the first universities in Canada to fill the training gap for professionals in data science. This stream equips you with the tools and techniques required to analyze complex data sets, with emphasis on practical skills in visualization, data mining, cloud-based approaches and parallel programming skills. Complete this skills-boosting program in 16 months and prepare for in-demand careers, including chief data officer, data scientist, data solutions architect, business manager and business analyst.

Saya termasuk departemen apa?

Trent University

Pilihan kuliah

Purna Waktu (16 bulan)

Biaya kuliah
CAD$31.907,04 (Rp 359.377.072) per tahun
Ancillary Fees - $493.41

* Biaya yang tercantum di halaman ini untuk tujuan indikatif, silahkan baca informasi resmi dari universitas bersangkutan

Batas akhir pendaftaran

01/02/2027

Tanggal mulai

Mei 2027

Tempat

Peterborough Campus

1600 West Bank Drive,

Peterborough,

Ontario,

K9L 0G2, Peterborough County, Canada

Purna Waktu (16 bulan)

Biaya kuliah
CAD$31.907,04 (Rp 359.377.072) per tahun
Ancillary Fees - $493.41

* Biaya yang tercantum di halaman ini untuk tujuan indikatif, silahkan baca informasi resmi dari universitas bersangkutan

Batas akhir pendaftaran

01/11/2026

Tanggal mulai

Januari 2027

Tempat

Peterborough Campus

1600 West Bank Drive,

Peterborough,

Ontario,

K9L 0G2, Peterborough County, Canada

Persyaratan masuk

Untuk mahasiswa internasional

  • Honours bachelor's degree (a four-year undergraduate bachelors degree) in a traditional discipline
  • Minimum B+ (77%) or equivalent in the last two years of full-time study, or last ten full academic credits
  • A university course in differential and integral calculus, and one in probability and statistics or equivalent
  • Some familiarity with linear algebra, and capabilities in programming at an elementary level in at least one computational language
  • A course in either differential equations or advanced statistics is required, depending on whether the students area of research will be mathematics, or statistics based
  • A GRE test score is not required for admission into this program

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Info tentang Trent University

Dengan fokus pada pembelajaran interaktif, Trent University diakui sebagai salah satu universitas S1 terbaik di Kanada.

  • No.2 di Kanada untuk reputasi dan inovasi
  • No.2 di Ontario untuk layanan mahasiswa, beasiswa & bantuan
  • 96 persen lulusan bekerja dalam dua tahun setelah kelulusan
  • Kampus modern dekat dengan alam dan perkotaan

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