Applied Data Science in FinTech: Models, Tools, and Case Studies - Softcover

Hric, Juraj; Lin, Yiping

Softcover

ISBN 10: 1032762578 ISBN 13: 9781032762579

Publisher: Routledge, 2026

Synopsis

This textbook offers a comprehensive introduction to data science and financial technology, with a focus on advanced tools, data modeling, and their applications in FinTech. Adopting an inquiry-based approach, it integrates detailed case studies, clear definitions of financial terms, and practical examples to guide readers through core concepts and methods.

Step-by-step illustrations demonstrate how programs are developed, making the material accessible for students. Dedicated chapters explore cutting-edge applications such as AdviceTech, AgTech, PropTech, chatbots, and sentiment analytics. To support hands-on learning, the book also provides sample code and data sets, enabling readers to experiment, practice, and ultimately design their own programs.

Designed for those with a basic foundation in programming, this book is an ideal companion for applying data science techniques to financial and technological contexts. It is particularly valuable for postgraduate and advanced students in FinTech, Business Analytics, and Data Science programs.

About this title

About the Author

Juraj Hric is Co-Founder and Chief Executive Officer at Zyanza Technologies. He is a course convenor for banking, finance and financial technology modules at the University of New South Wales, Australia.

Yiping Lin is Co-Founder of Alt Data Tech, a leading provider of alternative data. He is also the director of undergraduate and postgraduate FinTech programs at the University of New South Wales, Australia.

Edition details

• Publisher: Routledge
• Publication date: 2026
• Language: English
• ISBN 10: 1032762578
• ISBN 13: 9781032762579
• Binding: Paperback
• Edition number: 1
• Number of pages: 410