At the undergraduate level, the Bachelor of Science degree in Physics provides a flexible curriculum for students with different career aspirations. The rigorous academic training and research experience provide a strong foundation for students interested in further studies. At the same time, students will develop analytical skills to meet the challenge in all sectors in society, from teaching, industry, finance to government.

 

 

The program curriculum is cross-disciplinary and practical. Students will learn solid knowledge in Physics PLUS innovative application of AI in physics related areas. In addition, students will gain cross-disciplinary problem-solving skills and professional insights through a Design Thinking course and Professional Seminars in AI. The Capstone Project+, with strong AI components and sponsorship from industry, enables students to practice AI applications on real world problems. Students should expect to take approximately one additional course per term throughout four years. Upon successful completion of the program, student will be award the BSc degree in Physics with an Extended Major in Artificial Intelligence.

 

 

 

The Data Analytics in Science program is a School-based program. It is not a conventional science program. It is structured in such a way that students will be equipped to analyze, present, and draw sound conclusions from data in context, using knowledge of statistical inference and computational processes.  Out of the four track (https://dasc.hkust.edu.hk/curriculum), students can choose ONE TRACK in a scientific field to practice and sharpen their skills. “Information Science Track” is offered by the Physics Department and specially designed to equip students with data analytics skills in physics related areas.  Courses in the tracks are not meant to train students to be experts in the corresponding fields, but rather to bring them into the context of a domain of data-intensive research in science. This program also distinguishes itself from most other Data Science programs in that students are not only trained in data analytical skills. The ultimate purpose is to bring these techniques into practice in a data-intensive scientific field.