The Master of Science Program in Data-Driven Modeling is a joint offering from the Departments of Physics and Mathematics. This program is designed to equip students with strong problem-solving and logical thinking skills, preparing them for careers in the data science sector. It bridges theoretical knowledge with practical application, providing hands-on experience in analyzing large datasets to derive valuable insights, understand complex situations, and facilitate informed decision-making for businesses and industries.
The program requires a minimum of 31 credits, comprising 13 core credits and 18 elective credits. The curriculum focuses on computational tools, scientific programming, statistical methods, and various modeling techniques relevant to data science.
Graduates will be well-prepared for roles in the data science sector, leveraging their analytical and modeling skills to contribute to businesses and industries.
Specific academic requirements may vary. Prospective students are advised to check the program website for detailed information.
The program fee is HK$260,000 for both full-time and part-time study modes.
The program fee is HK$260,000 for both full-time and part-time study modes. This fee applies to all students, regardless of their study mode.
The program requires a minimum of 31 credits. This includes 13 core credits and 18 elective credits.
Graduates are prepared for roles such as Data Scientist, Data Analyst, and Modeler within the data science sector. They will leverage their analytical and modeling skills in various businesses and industries.
Applicants need a recognized Bachelor's degree, ideally with a strong foundation in science or mathematics. Specific requirements may vary, so it is advisable to check the program website for detailed information.
The application period usually opens in late Fall and closes in early Spring for the following academic year. Specific deadlines are generally around January or February.