Data analytics stands as the backbone in the dynamic and evolving field of financial technology. Meanwhile, the ability to deploy tools and technologies is crucial for data analytics, innovation, and problem-solving in this field. This course is designed to equip students with the skills necessary to design, analyse, and implement solutions for various decision-making problems in the field of financial technology. Instead of training experts in programming, the course focuses on enabling students to apply computational thinking, experimental methodology, and empirical methods, specifically within the context of financial technology. Students will engage with a wide range of decision-making problems, as well as business and data analytics applications in the field of financial technology.