The competences that students are expected to acquire by the time they graduate are:

PC1: Foundational Financial Knowledge and Analysis:

• Demonstrate a comprehensive understanding of core financial principles, including accounting, management, micro and macroeconomics, and the mathematics of finance.
• Apply financial management techniques to evaluate investment opportunities and manage financial resources.
• Conduct financial analysis, company valuation, and risk management assessments.
• Comprehend the structure and operations of financial markets and institutions, including money and banking.
• Analyze financial statements and apply accounting principles.

PC2: Technological Proficiency in FinTech:

• Apply programming skills (e.g., Python, R) and information technology concepts to financial applications.
• Utilize statistical and operations research methods for financial analysis and decision-making.
• Understand and evaluate the applications of blockchain technology, cryptocurrencies, and decentralized finance.
• Apply data science and business analytics techniques to extract insights from financial data.
• Develop and implement basic algorithmic and robo-trading strategies.
• Understand the principles and applications of Artificial Intelligence (AI) and Machine Learning (ML) in finance.

PC3: Ethical, Regulatory, and Risk Management in FinTech:

• Analyze ethical dilemmas, regulatory requirements, and cyber risks within the FinTech industry and propose mitigation strategies.
• Understand the legal and regulatory frameworks governing financial technology.
• Apply principles of financial risk management within financial institutions and markets.
• Comprehend the importance of corporate governance and control in financial organizations.

PC4: Innovation, Entrepreneurship, and Digital Transformation in Finance:

• Exhibit a foundational understanding of entrepreneurial aspects within FinTech and evaluate opportunities for innovation.
• Analyze the economic feasibility of new projects and value businesses.
• Understand the concepts of entrepreneurial finance and venture capital.
• Recognize the impact of technology on the digital transformation of financial institutions.
• Evaluate the potential of FinTech for social impact and sustainability.

PC5: Data-Driven Decision Making and Communication:

• Apply statistical methods and business statistics for data analysis and interpretation in finance.
• Develop financial models using spreadsheets and econometric techniques for forecasting and valuation.
• Visualize financial data effectively to communicate complex information and support data-driven decisions.
• Apply Natural Language Processing (NLP) techniques to extract insights from financial text data.
• Communicate effectively, both orally and in writing, on financial and technological topics.