The Big Data Analytics Stream: Applied Modelling and Quantitative Methods at Trent University is a 16-month program designed to equip students with practical skills in data visualization, data mining, cloud computing, and parallel programming. The curriculum prepares graduates for roles such as Chief Data Officer, Data Scientist, Data Solutions Architect, Business Manager, and Business Analyst by emphasizing applied techniques and real-world problem solving in data science.
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The Big Data Analytics Stream: Applied Modelling and Quantitative Methods at Trent University is a 16-month program designed to equip students with practical skills in data visualization, data mining, cloud computing, and parallel programming. The curriculum prepares graduates for roles such as Chief Data Officer, Data Scientist, Data Solutions Architect, Business Manager, and Business Analyst by emphasizing applied techniques and real-world problem solving in data science.
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400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
93.0
Starting 2026-05-01
Apply before 2125-04-18
Starting 2026-01-01
Apply before 2125-04-18
Starting 2026-09-01
Apply before 2125-04-18
Dec-25, 2025-09-01 00:00:00, 2026-01-01 00:00:00, May 2026 20262026 (limited programs)
Courses included:Mathematical aspects of modellingComputational aspects of modellingStatistical Aspects of ModellingData VisualizationHigh performance computingData MiningCheck out the full curriculumVisit programme website
No academic requirements found.
Applicants must hold a B.A. or B.Sc. honours degree (a four-year undergraduate bachelor's degree) in disciplines such as Anthropology, Biology, Business Administration, Chemistry, Computing & Information Systems, Economics, Geography, Humanities, Mathematics, Physics & Astronomy, Philosophy, or Psychology. A minimum GPA of B+ (77%) in the last two undergraduate years or last ten full credits is required. Candidates should have completed courses in differential and integral calculus, probability and statistics, and possess some familiarity with linear algebra and basic programming skills. A course in differential equations or advanced statistics is also required, depending on research focus. Admission is competitive, with preference given to applicants exceeding minimum requirements.
₹19,37,235/Year
Annual Fee
1 year, 4 months
Total Duration
No Living costs available.
No University Scholarships Available
N/A
Amount
1250 USD
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
2000 USD
Deadline
15 Apr 2025
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Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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