COURSE CURRICULUM

The Master of Science in Applied Modelling & Quantitative Methods: Big Data Analytics at Trent University is a research-intensive, interdisciplinary graduate program designed to develop advanced expertise in data-driven modelling and quantitative analysis. The program focuses on the application of statistical, computational, and mathematical techniques to solve complex problems involving large-scale and high-dimensional datasets. Students are trained to work across disciplinary boundaries, integrating methods from science, social science, and technology to address real-world analytical challenges. The curriculum includes 2.5 credits from AMOD 5210H, AMOD 5410H, AMOD 5260H, and AMOD 5610Y, which provide core training in advanced big data methods, computational modelling, and applied analytics. Students also complete 0.5 credit from AMOD 5240H or AMOD 5230H, focusing on specialized quantitative techniques. In addition, 2.0 credits are selected from a range of advanced courses such as AMOD 5220H, AMOD 5420H, AMOD 5430H, AMOD 5440H, AMOD 5450H, AMOD 5250H, AMOD 5460H, or AMOD 5510H, allowing students to tailor their studies to specific areas of interest in big data analytics. The program emphasizes both theoretical understanding and practical application, preparing graduates for careers in data science, analytics, research, and industry. Overall, it equips students with strong computational, statistical, and problem-solving skills required for modern data-intensive environments.