Postgraduate Programs 2019/20
Master of Science Program in Data-Driven Modeling
Award Title

Master of Science in Data-Driven Modeling

Program Short Name


Mode of Study

Both full- and part-time

Normative Program Duration

Full-time : 1 year
Part-time : 2 years

Program Fee


Offering Unit
Program Advisor

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:

  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 


  1. Core Courses

    15 credits

MSDM 5001
MSDM 5002
MSDM 5003
MSDM 5004
MSDM 5005


  1. Elective Courses

    15 credits

MSDM 5051
MSDM 5053
MSDM 5054
MSDM 5056
MSDM 5058
MSDM 5059
MSDM 6980
PHYS 5120


  1. 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.

1. General Admission Requirements of the University
  • 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.

2. English Language Admission Requirements

Applicants have to fulfill English Language requirements with one of the following proficiency attainments:

  • TOEFL-iBT: 80

  • TOEFL-pBT: 550

  • TOEFL-Revised paper-delivered test: 60 (total scores for Reading, Listening and Writing sections)

  • IELTS (Academic Module): Overall score: 6.5 and All sub-score: 5.5

Applicants are not required to present TOEFL or IELTS score if

  • their first language is English, or

  • they obtained the bachelor's degree (or equivalent) from an institution where the medium of instruction was English.

3. Additional Information
  • 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.