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Bachelor of Science (Honours) Scheme in Data Science and Artificial Intelligence (JUPAS Code: JS3223) Bachelor of Science (Honours) in Financial Technology and Artificial Intelligence (62401-SYF) Entrance Requirements Career Prospects Students must complete all of the Discipline-Specific Requirement (DSR) and General University Requirement (GUR) subjects to fulfil the credit requirement for graduation, except those who are given credit transfers due to their prior study. (A) DSR subjects It comprises Compulsory Subjects and Elective Subjects as listed below: Compulsory Subjects * (At least 13 subjects with total 40 credits) Big Data Analytics Capstone Project Data Mining and Data Warehousing Decision Analysis Further Mathematical Methods High Dimensional Data Analysis Operations Research Methods Optimization Methods Professional Communication in Chinese for Applied Science Professional English for Data Science and Analytics Students Programming for Data Science Statistical Inference Statistical Machine Learning *Admitted students with insufficient background in mathematics, statistics or/and computer programming are required to pass the underpinning subject(s) Applied Linear Models / Data Analytics and Visualization / Data Structures / Database Systems / Introduction to Statistics / Multivariable Calculus / Principles of Programming / Probability & Distributions, or the equivalent. Elective Subjects (At least 7 subjects with total 21 credits) Artificial Intelligence Business Intelligence and Customer Relationship Management Cell Technology for Biomedical Research Cells in Health and Disease Compressed Sensing Computational Methods E-commerce Technology and Applications Environmental Impact and Assessment Forecasting and Applied Time Series Analysis Geographic Information Science Information Systems Audit and Control Intelligent Transportation Systems Medical Informatics Modelling of Epidemic and Pandemic Radiographic Imaging Science Remote Sensing of the Environment Spatial Big Data Analytics Stochastic Processes for Investment Survey Sampling Urban Informatics and City Planning Urban Planning (Workshops) Web Application Design and Development (B) GUR Subjects^ (9 credits) The GUR subjects comprise 6 credits of Cluster-Area Requirement (CAR) subjects; 3 credits of Service Learning (SL) subjects; and non-credit bearing of Essential Components of General Education (Academic Integrity, Artificial Intelligence and Data Analytics, Innovation and Entrepreneurship, and National Education). ^ Extra credit bearing subject - Students not meeting the equivalent standard of the Undergraduate Degree Language Communication Requirements (LCR) based on their previous academic performance in AD/HD programmes will be required to take additional credits (English and/or Chinese) on top of the programme's normal credit requirement. (C) Work-Integrated Education (2 training credits) Students are required to spend a minimum of three weeks or 120 hours working in firms either during summer vacation or as part-timers. Discipline-related summer placements may be found in Hong Kong, the Chinese Mainland or overseas. These, and other forms of work experience, can be counted towards the WIE requirement, subject to the approval of the department. We use Cookies to give you a better experience on our website. By continuing to browse the site without changing your privacy settings, you are consenting to our use of Cookies. For more information, please see our Privacy Policy Statement . Your browser is not the latest version. If you continue to browse our website, Some pages may not function properly. You are recommended to upgrade to a newer version or switch to a different browser. A list of the web browsers that we support can be found here What are you looking for?