Trent University

Overview

Trent University offers a Master of Science in Big Data Analytics with a focus on Applied Modelling and Quantitative Methods. This program is designed to equip students with advanced modelling and quantitative skills essential for analyzing complex, real-world data. Through a combination of theoretical knowledge and practical application, students will be prepared for data-driven careers and further academic pursuits.

What you'll study

This course-based MSc program has a typical duration of 16 months and includes an applied research practicum in the final term. The curriculum emphasizes the development of robust modelling and quantitative foundations, followed by in-depth exploration of advanced analytics topics.

Core learning areas

• Mathematical aspects of modelling
• Computational aspects of modelling
• Statistical aspects of modelling
• Data visualization
• High-performance computing
• Data mining

Applied research practicum

In the final term, students will engage in a research practicum that allows them to apply the modelling and analytics techniques learned throughout the program to a specific research or practical problem. This experience will enable them to develop analytical workflows, interpret results, and present findings effectively to both academic and professional audiences.

Entry requirements

To be considered for admission, applicants typically need to demonstrate a strong academic background, usually reflected in a minimum GPA requirement. Additionally, proficiency in English is essential for non-native speakers, with standardized tests accepted to verify language skills.

Career prospects

Graduates of the Big Data Analytics stream are well-positioned for various roles in data science, analytics, and research across multiple industries. With the increasing demand for data-driven decision-making, the skills acquired in this program will be invaluable for pursuing a successful career in this rapidly evolving field.