Trent University

Overview

Applied Modelling and Quantitative Methods at Trent University equips students with the skills to construct, evaluate, and interpret mathematical and computational models utilizing contemporary statistical and data-analysis tools. The program fosters a collaborative environment where individuals from diverse quantitative and applied disciplines engage with faculty on research-driven coursework.

What you'll study

• Enhance your modelling abilities applicable to both natural and social sciences.
• Bolster your expertise with essential skills in statistics, programming, and data analytics, including R and concepts related to big data and high-performance computing.
• Select a research area that aligns with your interests, with options available to support thesis-based projects.

Programme Structure

The curriculum integrates fundamental courses in modelling and statistics with modules focused on programming and data analytics. Depending on your academic plan, there may be opportunities to undertake a thesis or research component alongside your coursework.

Core coursework (examples)

• Mathematical Aspects of Modelling
• Computational Aspects of Modelling
• Statistical Aspects of Modelling
• Data Analytics With R
• Big Data
• High Performance Computing

Research component

• Thesis stream options may be available, allowing you to create a research project aligned with your field and interests.
• Coursework is designed to support your research efforts by enhancing your skills in modelling, statistical inference, and computational implementation.

Note: Course sequencing and specific requirements may vary based on your intake and chosen research direction. It is advisable to confirm the latest curriculum details with the department.

Entry requirements

The typical entry requirement for the program is a minimum GPA of B+ or its equivalent. Applicants are encouraged to check specific details regarding qualifications and any additional prerequisites with the admissions department.

Career prospects

Graduates of the Applied Modelling and Quantitative Methods program are well-equipped for diverse career opportunities in various sectors. They may pursue roles in data analysis, research, finance, healthcare, government, and technology, among others. The skills developed during the program prepare students for positions that require expertise in statistical modelling, data interpretation, and computational analysis.