19 Technology BSc Degree Programs in Hong Kong

The BSc Computational Finance and Financial Technology major has two streams, namely (1) Computational Finance Stream and (2) Financial Technology Stream. Students from both Computational Finance and Financial Technology streams can apply for admission to the Joint Bachelor's Degree Program between City University of Hong Kong and Columbia University. Upon completion of this joint degree program, students will receive the dual awards conferred by Columbia University and CityUHK.

This programme is one of the leading Computer Science programmes in Hong Kong, providing students with a well-balanced curriculum and solid education in both the theoretical and practical aspects of computing.

Bachelor of Science (Honours) in Data Science and Business Intelligence (BSc-DSBI) Programme is the first degree programme in Hong Kong to integrate “Data Science” and “Business Intelligence” with a comprehensive business education to respond to market needs.

Acquire a Major with a Secondary Major degree in 4 years This programme is a brand new Bachelor of Science programme of The Hong Kong Polytechnic University (PolyU). It cultivates students with knowledge spanning the disciplines of Physics and their chosen Secondary Major (AIDA or IE). By combing the strengths of the two fields, graduates will be ready to take on future challenges and excel in the contemporary workplace.

Data Science focuses on solving problems and advancing societies using vast amounts of data. Students of 1071 will have a free choice of majors (BSc Data Science or BSc Data and Systems Engineering) after one year of study.

The BSc (Hons) in Applied Computing provides solid training in programming and software development, and supplemented by subjects in various application areas. The focus in on the practical aspects rather than the theoretical.

The programme provides essential training like quantitative knowledge, statistics, data mining technology, and computing tools for emerging real­ world applications. In an inter-professional setting, students are given the tools to build theoretical and methodological knowledge in data science, communication skills, and ethical awareness.

The Bachelor of Science in Business Analytics and Information Management programme combines “Business Analytics”, “Decision Science” and “Information Technology”, and integrates with emerging fields such as FinTech, Business Intelligence and Data Mining, IT Audit and Control and Digital Business Management.

The rapid and unprecedented evolution of the digital landscape is being driven by transformative technologies like AI, Big Data, and FinTech, revolutionizing industries across the globe. Nevertheless, these advancements introduce novel vulnerabilities and threats, underscoring the critical imperative for cybersecurity professionals.

The programme offers solid foundation in data science and intelligent systems, where students will learn to analyse, manage and improve enterprise­ class systems using big data.

Financial Technologies (FinTech) refers to the application of Information and Communication Technology (ICT) in financial services. It is a newly emerging interdisciplinary area with a very high impact on the economy of every society. We are living in a complex world in which matters are interconnected.

Bachelor of Science (Honours) in Artificial Intelligence and Educational Technology The programme is designed to address the challenges of the educational transformation driven by the fourth industrial revolution and to meet the societal needs for qualified professionals in AI and educational technology to support the future development of schools, tertiary education, government and corporate sectors.

Students will be awarded one of the following awards upon successful completion of the graduation requirements of the programme concerned: The BSc(Hons) in Computer Science; The BSc(Hons) in Enterprise Information Systems; and The BSc(Hons) in Financial Technology and Artificial Intelligence. Common first year. Students admitted to the Scheme do not need to decide on their final degree in the first year of study and can select their study paths in the second year. Rich study pathways. The programme’s relatively few core credits give students the flexibility to take on a Minor study in other disciplines they are interested in, such as Business Administration, Financial Services, Social Science or other Engineering disciplines. They can also take additional Computing subjects to continue or specialise in one or more technical streams.

The rapid advances of Artificial Intelligence (AI) have far-reaching impacts on our lives, ranging from mobile apps, smart home systems and health-monitoring devices to industrial process optimisation. AI is intimately linked to physics in various ways, and seamless collaboration between physics and AI enables accurate observations of the environment and the realistic formulation of solutions. Physics principles can be deployed to optimise AI components, facilitating the discoveries of critical workflows and parameters, as well as enhancing the training of AI systems. Conversely, AI plays a pivotal role in modern physics research by rapidly screening potential solutions, thereby saving resources needed for experimental studies.

Programmes offered under this Scheme share some common subjects. There should be no fewer than 27 common credits in the first three semesters (excluding summer terms). Students are expected to have chosen a specific Major from the Scheme’s programmes by the end of semester 1 of Year 2. After successfully completing the four-year programme, students are awarded a degree in their selected major programme.