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:
Professor Michael K Y WONG, Professor of Physics
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 information technology 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:
- 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
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Remarks
Part-time students may take a maximum of 9 credits in each term.
Last update: 31 July 2019
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$250
For 2020/21 Fall Term Intake:
Non-local Applicants*
Full-time: 15 Apr 2020
Part-time: 15 Apr 2020
Local Applicants
Full-time: 1 Jun 2020
Part-time: 1 Jun 2020
* 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.
