Data-driven modeling is an essential skill in many sectors involving information technology in today’s world, such as computer services, commerce, finance, and public services. Jointly offered by the Departments of Physics and Mathematics, the MSc program aimed at cultivating the next generation to have strong skills in problem-solving and logical thinking so that they become competent in the data science sector. They will be trained to have hands-on experience in analyzing large amount of data, extract significant features from them, and hence provide valuable insights to understand complex situations and facilitate smart decision making for businesses, industries and services.

On successful completion of the program, graduates will be able to:

1. Handle large amount of data using computational tools;
2. Extract significant features from the data using scientific programming and statistical learning;
3. Select appropriate hardware for different computational tasks;
4. Interpret time-dependent data using concepts of stochastic processes;
5. Utilize quantitative skills to make predictions;
6. Provide solutions to optimization problems and for decision making through data-based modeling; and
7. Adopt an innovation-minded attitude in exploring new uses of data-driven modeling.

1. Minimum Credit Requirement

   30 credits 

2. Core Courses

   15 credits
    

3. Elective Courses

   15 credits
    

Apart from the electives in the MSc(DDM) Program, students are allowed to take up to 3 credits of electives offered by the MSc Program in Financial Mathematics, subject to approval of the Program Director.

4. Remarks

   Part-time students may take a maximum of 9 credits in each term.

Last update: 30 January 2023

To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission.