Master of Science in Data-Driven Modeling
MSc(DDM)
Both full- and part-time
Full-time : 1 year
Part-time : 2 years
$180,000
Program Director:
Prof Michael K Y WONG, Professor of Physics
Jointly offered by the Departments of Physics and Mathematics, the program aims 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. The program provides students hands-on experience in analyzing large amount of data and extract significant features from them, thereby provide valuable insights to understand complex situations and facilitate smart decision making for businesses, industries and services.
The normative study period is one year in full-time, and two years in part-time mode.
On successful completion of the program, graduates will be able to:
- Handle large amount of data using computational tools;
- Extract significant features from the data using scientific programming and statistical learning;
- Select appropriate hardware for different computational tasks;
- Interpret time-dependent data using concepts of stochastic processes;
- Utilize quantitative skills to make predictions;
- Provide solutions to optimization problems and for decision making through data-based modeling; and
- Adopt an innovation-minded attitude in exploring new uses of data-driven modeling.
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Minimum Credit Requirement
30 credits
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Core Courses
15 credits
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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.
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Remarks
Part-time students may take a maximum of 9 credits in each term.
Last update: 18 May 2021
To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission.
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Applicants seeking admission to a master's degree program should have obtained a bachelor’s degree from a recognized institution, or an approved equivalent qualification.
Applicants have to fulfill English Language requirements with one of the following proficiency attainments:
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TOEFL-iBT: 80*
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TOEFL-pBT: 550
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TOEFL-Revised paper-delivered test: 60 (total scores for Reading, Listening and Writing sections)
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IELTS (Academic Module): Overall score: 6.5 and All sub-score: 5.5
* refers to the total score in one single attempt
Applicants are not required to present TOEFL or IELTS score if
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their first language is English, or
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they obtained the bachelor's degree (or equivalent) from an institution where the medium of instruction was English.
- A bachelor’s degree in Science or Engineering disciplines, or
- A bachelor’s degree in other discipline and:
- Have relevant working experience in computation-related fields, and
- Have working knowledge in at least one computer language, and basic training in calculus and linear algebra.
Apply online before the application deadlines.
HK$350
For 2022/23 Fall Term Intake (commencing in Sep 2022):
Non-local Applicants*
Full-time: 1 Dec 2021 (Round 1); 1 Mar 2022 (Round 2); 3 May 2022 (Round 3)
Part-time: 1 Dec 2021 (Round 1); 1 Mar 2022 (Round 2); 3 May 2022 (Round 3)
Local Applicants
Full-time: 1 Dec 2021 (Round 1); 1 Mar 2022 (Round 2); 3 May 2022 (Round 3)
Part-time: 1 Dec 2021 (Round 1); 1 Mar 2022 (Round 2); 3 May 2022 (Round 3)
* Applicants are considered as non-local students if they hold (i) student visa/ entry permit; or (ii) visa under the Immigration Arrangements for Non-local Graduates (IANG); or (iii) dependent visa/entry permit who were 18 years old or above when they were issued with such visa/ entry permit by the Director of Immigration. For details on student visa/ entry permit requirements, please click here.
