This course offers foundational knowledge of economics essential for all business majors. Topics covered in microeconomics include equilibrium models used by consumers and producers to satisfy needs under scarce resources, the theory of demand and supply, shifts in supply and demand, elasticity of demand and supply, consumer equilibrium, producer equilibrium, and markets under perfect competition

This course is designed to introduce students to the tools and techniques of financial management and their application in managerial decision-making. It emphasizes the understanding of finance theory and provides practical knowledge of the financial environment in which a firm operates to help develop effective financial strategies. The course covers a wide range of finance concepts, including cost of capital, capital structure, dividend policy, and mergers and acquisitions.

This course is designed to provide students with essential skills in managing and analyzing financial datasets. It emphasizes building a solid foundation in data handling across various financial databases. Through practical experience with real-world financial data, students will learn key techniques for preparing data for statistical analysis. The course covers vital methodologies, including statistical modeling and inference, classification techniques, and the use of alternative datasets—critical tools for financial data analysis in a variety of finance-related applications.

This course addresses the legislation and laws related to financial technology at both local and international levels. It focuses on understanding how various laws and regulations affect the security of electronic operations within the financial sector. Topics include the legal frameworks governing FinTech innovations, data protection laws, compliance with financial regulations, cybersecurity laws, and the role of regulatory bodies

This course introduces FinTech, an innovation designed to transform the financial services industry. It explores the underlying theories of these systems and applies them to real-world scenarios. The course examines when and why banks and financial institutions can benefit from adopting these technologies to enhance efficiency and improve customer experience. Upon successful completion, students will be able to analyze current and emerging FinTech developments.

This course explores blockchain technology, smart contracts, cryptocurrencies, and peer-to-peer (P2P) lending within financial markets. Students will acquire a thorough understanding of the technologies driving these innovations in real-world financial contexts. The course discusses both the benefits and challenges of adopting these technologies, highlighting their transformative potential in the financial industry. Through this course, students will analyze the impact of blockchain and related technologies on financial markets and assess how they are reshaping financial services.

This course is designed to develop the financial modeling skills required to apply financial theory to practical scenarios in investment research, portfolio management, and valuation. It will focus on using Excel spreadsheet functions and SPSS for statistical analysis of financial market data, presenting financial information, and employing various models to predict credit defaults and financial distress.

This course provides an in-depth exploration of digital currencies, including cryptocurrencies, stablecoin, and central bank digital currencies. It also covers the technological foundations of digital currencies, such as blockchain and distributed ledger technologies, and examines their impact on the financial system, economy, and global markets. The course also explores key issues such as security, regulatory challenges, and the potential for digital currencies to transform payment systems and financial inclusion. Students will gain a comprehensive understanding of the opportunities and risks associated with digital currencies and their role in the global financial system

This course provides a comprehensive overview of artificial intelligence applications in finance, with a focus on machine learning and deep learning. Practical applications of AI techniques for predicting various financial variables will be explored. Students will also learn how to leverage AI tools in financial institutions and banks for fraud detection, investment management, risk reduction, customer experience enhancement, and financial decision-making support.

This course delves into blockchain technology, smart contracts, cryptocurrencies, and peer-to-peer (P2P) lending in financial markets. Students will gain a comprehensive understanding on both the advantages and challenges of adopting these technologies, emphasizing their transformative potential within the financial industry. By the end of the course, students will analyze the impact of blockchain and related technologies on financial markets and evaluate how they are reshaping financial services.

This course explores the transformative role of leadership and firms in the financial technology sector. It covers the concepts of leadership in FinTech and its impact on financial institutions, focusing on how innovative business models are reshaping the financial landscape. Students will gain insights into how financial technology addresses and reduces traditional financial challenges, offering more efficient and effective solutions. The course also emphasizes the impact of leadership and innovation on enhancing the delivery of financial services to clients, highlighting how FinTech is revolutionizing financial markets and institutions.

This course focuses on the application of data science techniques to solve problems in the financial sector. Students will learn how to use statistical methods, machine learning, and data analysis tools to analyze financial data, identify patterns, and make data-driven decisions. The course covers a wide range of topics, including risk management, portfolio optimization, financial forecasting, and algorithmic trading. Through hands-on projects and real-world case studies, students will gain practical experience in applying data science techniques to financial datasets and solving complex financial problems. By the end of the course, students will be equipped with the skills needed to leverage data science for improved financial decision-making

The objective of this course is to equip students with the tools to analyze how digital transformation is evolving from a secondary efficiency booster to a core enabler of fundamental innovation in the financial sector. It also aims to offer students a deep understanding of how businesses leverage innovative technologies, data, and connectivity to generate value, increase revenue, and improve efficiency. The course also provides strategic insights into the implications and significance of digital transformation in the financial industry.

Training and practical qualification of students involves applying various topics they have learned in their field of specialization. It also aims to prepare them for work in financial institutions such as banks, financial markets, or both established and emerging fintech companies. The focus is also on developing effective communication skills and field communication through practical applications that enhance the student's ability to work within a team and improve interpersonal skills. The training contributes to strengthening the students’ capacity to take on and develop responsibilities, while also boosting their self-confidence through the skills acquired in finding solutions to various financial problems and issues.