Singapore University of Social Sciences

FTH512 Statistical Modelling and Quantitative Methods in Tech-Driven Finance serves as an intellectual crucible, immersing students in a sophisticated framework for decision-making underpinned by empirical evidence and rigorous analysis. In the realm of modern finance, where decisions are increasingly data-dependent, the mastery of quantitative methods is paramount. This course transcends conventional statistical paradigms, delving into the intricacies of statistical inference, hypothesis testing, and regression, while also navigating the realms of Boolean algebra, modular arithmetic, matrix operations, and cluster analysis. By utilizing these methods effectively, students will be able to make informed decisions, solve complex problems, and draw meaningful conclusions from complex datasets across multiple fields, including business, economics, finance, Fintech, and social sciences. FTH512 技术驱动的金融统计建模与量化旨在帮助学生体验以实 证证据和严格分析为基础的复杂决策框架。在现代金融领域，决策越来越依赖于数据支持， 掌握定量方法至关重要。该课程超越了传统的统计范式，深入探讨了统计推断、假设检验 和回归的复杂性，同时也涉及布尔代数、模算术、矩阵运算和聚类分析领域。学生将学习 如何通过有效运用这些方法做出明智的决策，解决复杂问题，并从跨商业、经济、金融、 金融科技和社会科学等多个领域的复杂数据集中得出有意义的结论。