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
According to the World Economic Forum, “we are at the dawn of the Fourth Industrial Revolution, which represents a transition to a new set of systems, bringing together digital, biological, and physical technologies in new and powerful combinations. These new systems are being built on the infrastructure of the digital revolution.” There is a strong demand for human power in hardware, software, services, infrastructure, information, and digital business.
Data-driven modeling is an essential skill in many sectors involving information technology, such as computer services, commerce, finance, and public services. Jointly offered by the Department of Physics and the Department of Mathematics, the Master of Science (MSc) Program in Data-Driven Modeling aims at training students with some science or engineering background who would like to prepare themselves for careers that require modeling skills based on information extracted from data.
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
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.