| The award | How you will study | Study duration | Course start | Domestic course fees | International course fees |
|---|---|---|---|---|---|
| MSc | Full-time, Part-time | 1 - 2 year | find out | find out | find out |
The Master of Science in Urban Analytics (MSc(Urban Analytics)) is offered as both a one-year full-time and two-year part-time programme. The evolving technological basis of cities is reshaping our urban life and allowing us to understand, plan, manage and optimise cities in completely new ways. The Master of Science in Urban Analytics programme is therefore designed to train and upskill students and professionals able to apply novel urban science and analytics in planning and managing the development of cities. Aiming to bridge the disciplines of social science, urban planning and design and data science, the programme provides a balance between analytical and practical skills on the one hand, and on the other, domain knowledge and urban theory from social, economic, behavioural, environmental and management sciences.
For detailed information about the tuition fees for each individual programme, please visit the Tuition Fee and Payment page
To be eligible for admission to the courses leading to a taught postgraduate qualification, a candidate:
a) shall comply with the General Regulations;
b) shall hold a Bachelor's degree of this University or a qualification of equivalent standard from this University or another comparable institution accepted for this purpose;
c) shall satisfy any other admission requirements which may be prescribed from time to time for the relevant curriculum; and
d) for a candidate who is seeking admission on the basis of a qualification from a university or comparable institution outside Hong Kong of which the language of teaching and/or examination is not English, shall satisfy the University English language requirement applicable to high degrees as prescribed under General Regulation G2(b).
An application for exemption from the above requirements shall be considered on a case by case basis.
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