Overview
The B.Sc. program in "Artificial Intelligence and Financial Technology (FinTech)" is designed to equip students with a cutting-edge blend of knowledge and skills at the intersection of AI and financial services. This program addresses the growing demand for tech professionals who can understand the complexities of modern financial markets, using the power of artificial intelligence to drive financial innovation. Students will learn computer science principles, AI and machine learning techniques, and fundamental financial theories, all while gaining hands-on experience with the technologies shaping the future of finance, such as blockchain, digital payments, and algorithmic trading.
As FinTech continues to disrupt traditional financial services with more accessible, efficient, and personalized solutions, this program emphasizes not only technical proficiency but also ethical considerations, regulatory compliance, and entrepreneurial thinking.
Goals
- To provide students with a deep understanding of artificial intelligence, including machine learning, neural networks, and data analytics, tailored specifically for financial technology applications.
- To instill a strong foundation in financial principles, theories, and practices, enabling students to apply AI in areas such as banking, investment, risk management, and insurance.
- To encourage innovation and develop problem-solving skills by engaging students in hands-on projects that address real-world financial challenges using AI technologies.
- To enhance the ethical considerations, privacy concerns, and regulatory requirements related to AI and FinTech.
- To equip students with practical skills in using cutting-edge tools and platforms relevant to AI and FinTech, such as blockchain technology, digital payment systems, and algorithmic trading platforms.
- To foster an entrepreneurial spirit, preparing students to lead and innovate within FinTech startups and established financial institutions, driving forward technological advancements and business solutions.
Careers of Graduates
- FinTech Developer: Designing and developing innovative financial applications and platforms using AI and machine learning to offer enhanced financial services.
- AI Algorithmic Trader: Developing sophisticated trading algorithms that leverage AI to analyze market data, predict market movements, and execute trades at optimal times.
- Data Scientist in Finance: Utilizing advanced analytics and machine learning to extract insights from large financial datasets, informing investment strategies and risk management.
- Blockchain Developer: Building secure blockchain-based solutions for various financial operations, including smart contracts, cryptocurrencies, and secure transactions.
- Risk Management Analyst: Employing AI models to identify, assess, and mitigate financial risks, enhancing the stability and resilience of financial institutions.
- RegTech Specialist: Developing and implementing technology solutions to help financial institutions comply with regulations efficiently, using AI to automate compliance processes.
- Digital Payments Specialist: Innovating and improving digital payment systems, making transactions more secure, efficient, and user-friendly with AI and advanced technologies.
- Financial Product Manager: Overseeing the development and management of AI-driven financial products and services, from conceptualization to market launch.
