COURSE CURRICULUM

The Master of Science in Applied Modelling & Quantitative Methods: Data Science & Analytics at Trent University is an interdisciplinary graduate program focused on advanced data analysis, computational modelling, and statistical techniques for solving complex real-world problems. The program is designed to equip students with strong theoretical foundations and practical skills in handling, analyzing, and interpreting large and complex datasets across scientific, social science, and industry contexts. Students develop expertise in areas such as data science methodologies, predictive modelling, machine learning concepts, and computational analytics, enabling them to extract meaningful insights from data and support evidence-based decision-making. The curriculum requires completion of 3.0 credits from AMOD 5210H, AMOD 5230H, AMOD 5240H, AMOD 5260H, and AMOD 5640Y, which provide core training in advanced quantitative methods, data science principles, and applied modelling techniques. In addition, students complete 1.0 credit from AMOD 5250H, AMOD 5410H, AMOD 5440H, AMOD 5520H, or AMOD 5540H, allowing specialization in advanced topics within data science and analytics. The program emphasizes interdisciplinary collaboration and applied research, preparing graduates for careers in data science, analytics, research, and technology-driven industries. Overall, it develops strong analytical, computational, and problem-solving abilities required for success in today’s data-intensive professional environments and supports further academic advancement in quantitative fields.