Master Of Science - Applied Modelling And Quantitative Methods - Big Data Analytics (Course Based) (MS.AMOD.DATA) at Trent University - Program overview

This program is currently under review and being updated. For the most up-to-date information, please contact us.

Program overview

Admission Requirements

Intakes

Last updated on 2025-11-12

Program overview

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Program Overview

The Big Data Analytics M.Sc. is a new stream within the prestigious Applied Modelling & Quantitative Methods program at Trent University. This Master’s of Science degree is designed to focus on the rapidly growing field of data science. It is a professional program that can typically be completed in 16 months. The program equips graduates with essential tools and techniques to effectively work with and understand big data, preparing them for a successful career in this dynamic field.

Program Structure

The Big Data Analytics M.Sc. program is structured to provide a comprehensive education in data science, requiring students to complete a series of courses and a research paper. The program includes:

Program Length: Typically completed in 16 months
Credits: Specific credit requirements are based on course selections
Course Requirements:
- Three courses from a selection including Foundations of Modelling, Statistical Aspects of Modelling, Mathematical Aspects of Modelling, and Computational Aspects of Modelling
- Four courses from a selection including Data Visualization, High Performance Computing, Data Mining, Introduction to Databases, and Big Data
Completion of a research paper and a seminar presentation

This program emphasizes practical skills in visualization, data mining, cloud-based approaches, and parallel programming, ensuring that graduates are career-ready in the growing field of data science.

Featured Experiences

The Big Data Analytics M.Sc. program offers several unique features that enhance the learning experience:

Access to state-of-the-art learning facilities on Trent’s architecturally-renowned Peterborough Campus
Intimate class settings that foster interaction and collaboration among peers
Opportunities to connect with entrepreneurial initiatives through the Trent University Research and Innovation Park
Assigned faculty supervisors to guide students throughout their studies

Career Options

Graduates of the Big Data Analytics M.Sc. program can pursue a variety of career paths in Canada, including:

Chief Data Officer: Responsible for data governance and strategy within an organization.
Data Scientist: Analyzes complex data sets to inform business decisions and strategies.
Data Solutions Architect: Designs and implements data management solutions tailored to organizational needs.
Business Manager: Oversees business operations, utilizing data insights to drive performance.
Business Analyst: Evaluates business processes and systems, providing data-driven recommendations for improvement.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.

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Last updated on 2025-11-12

Program overview

Academic Requirements

For the Master of Science - Applied Modelling And Quantitative Methods - Big Data Analytics (Course Based) program, the following Academic Requirements apply:

Minimum GPA: A minimum cumulative GPA of 2.0 (on a 4.0 scale) is required for admission.
International Students:
- International students must submit their academic transcripts for evaluation.
- Transcripts may be required to be evaluated by WES in some cases.
Prerequisite Courses: Specific prerequisite courses are not mentioned, so please check the program details or contact LOA Portal's advisors for clarification.
Application Deadline: While a specific deadline is not provided, it is advisable to apply as soon as possible to ensure your application is processed in time.

For any further clarification or support regarding the application process, please reach out to LOA Portal's advisors who are ready to assist you.

Language Requirements

At Trent University, it is essential for students to demonstrate proficiency in both spoken and written English. This proficiency is crucial for meeting the demands of classroom instruction, completing written assignments, and actively participating in tutorials and discussions.

Applicants whose first language is not English are typically required to provide proof of English proficiency through one of the following accepted tests:

TOEFL / TOEFL IBT / TOEFL IBT Special Home Edition: 86 IBT with a minimum writing score of 20.
IELTS: 6.5, with no band below 6.0.
The Duolingo English Test: 115 (Note: Duolingo is NOT accepted by the School of Graduate Studies at Trent, and is only applicable for Undergraduate applications.)
CAEL | CAEL On-line: 60.
Cambridge B2 First, C1 Advanced/C2 Proficiency (Certificate of Advanced English): 176, with no sub-score below 169.
Pearson PTE Academic In-person & Online: 59.
Trent Academic ESL Program: Academic English II with 75% in all courses.

It is important to note that English Language Proficiency requirements are subject to change without prior notice. If you have results from a recognized Canadian University English language testing service, you may submit your results for consideration.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors. The listed minimum requirements are a guideline and do not guarantee admission. Do not worry, we will notify you of any changes during the application process.

Not meeting the minimum language requirements?

You may still be able to apply!