Shaping the next generation
through Financial Technology in Digital Economy
The Financial Technology program prepares students to become the architects of tomorrow's financial systems. By combining core disciplines in finance, economics, mathematics, and computer science, graduates are equipped to design, analyze, and deploy technology-driven solutions across banking, payments, investment, and regulation. This program is built for those who see both numbers and code as tools for real-world impact.
Program
Description
The Bachelor of Science in Financial Technology (FinTech) is a four-year undergraduate program offered by the Faculty of Digital Economy at the National University of Management.
The program is designed to bridge the disciplines of finance, economics, mathematics, and computer science, equipping students with both the theoretical foundations and practical skills needed to navigate and innovate within the rapidly evolving financial services landscape. Through a carefully sequenced curriculum — from accounting, calculus, and microeconomics in the early years, to machine learning, blockchain, cybersecurity, and advanced FinTech applications in the later years — students develop a multidisciplinary competency that reflects the demands of modern digital finance.
The program culminates in a professional internship and independent thesis, preparing graduates for careers in financial institutions, technology companies, regulatory bodies, and entrepreneurial ventures across Cambodia and the broader region.
Program
Aim
"To develop highly competent financial technology professionals who possess a rigorous understanding of financial systems, strong quantitative and computational skills, and the ability to design, analyze, and apply technology-driven solutions to real-world financial challenges — while remaining responsive to regulatory, ethical, and socioeconomic considerations in a digital economy."
Program Learning Outcomes
Demonstrate a solid understanding of financial accounting, corporate finance, investment science, international finance, and economic theory as they relate to financial decision-making and market behavior.
Employ mathematical tools (calculus, linear algebra, statistics, stochastic models) and programming languages (Python, C++) to model, analyze, and solve complex financial problems.
Develop and evaluate technology-based financial applications, drawing on knowledge of machine learning, deep learning, data mining, software engineering, and algorithmic design within financial contexts.
Assess financial risks and apply relevant regulatory frameworks, cybersecurity principles, and compliance standards to ensure responsible and secure deployment of financial technologies.
Analyze and evaluate transformative technologies — including artificial intelligence in finance, blockchain, open banking, digital payments, and InsurTech — and their implications for financial systems, institutions, and society.