Financial Technology (FinTech), also known as FinTech, emerged after the 2008 financial crisis. This led to significant changes in the talent needs of the financial industry, making "π-shaped" individuals increasingly favored by companies. According to national and industrial development strategies, there's an urgent focus on cultivating Artificial Intelligence (AI) talent. During a financial technology symposium, the Vice President of ChinaTrust Commercial Bank shared that changes in consumer transaction habits underscore the necessity of FinTech development. Currently, the components of FinTech can be represented as "A, B, C, D," which are Artificial Intelligence (AI), Blockchain, Cloud Computing, and Big Data. Data is set to be a pivotal factor in the advancement of FinTech, and capable talents will drive its applications and breakthroughs.
In response to the demand for FinTech, the Department of Artificial Intelligence integrates educational and research resources, combining them with the development and applications of financial technology to help students enhance their cross-disciplinary AI skills and become true "π-shaped" talents. The curriculum includes various AI-related courses such as programming languages, big data analysis, machine learning, deep learning, natural language processing, and computer vision. Besides the specialized courses, the department has also established the 66 school programming language self-learning platform and self-learning communities, aiming to enhance students' proficiency in AI programming languages and practical applications.