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BSc (Hons) Scheme in Spatial Data Science and Smart Cities (Land Surveying and Geo-Informatics / Urban Informatics and Smart Cities)

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Entrance Year Sept 2025

Programme Code JS3130

Mode of Study Full-time

Normal Duration

4 years

Programme Intake 327 (Combined intake for programmes JS3004 [~33], JS3211 [~38], JS3791 [~22], JS3789 [~65], JS3214 [~27], JS3739 [~87], JS3375 [~20] and JS3130 [~35]) (JUPAS and Non-JUPAS) (Subject to approval)

Fund Type Government-Funded

Credits Required for Graduation

BSc (Hons) in Land Surveying and Geo-Informatics

  • 124 (plus 1 credit for industrial safety training and non-credit bearing summer training)

BSc (Hons) in Urban Informatics and Smart Cities

  • 119 (plus 1 credit for industrial safety training and non-credit bearing summer training)

Programme Leaders

Scheme Leader and Programme Leader of BSc (Hons) in Land Surveying and Geo-Informatics 

Dr ZHU Xiaolin   
BSc, MSc, PhD 
 

Deputy Programme Leaders of BSc (Hons) in Land Surveying and Geo-Informatics 

Dr CHEN Si, Sissi  
BA, BSc, MSc, PhD 
 

Dr SHI Guoqiang  
PhD 
 

Programme Leader of BSc (Hons) in Urban Informatics and Smart Cities

Dr ZHUGE Cheng-xiang, Tony  
PhD
 

Deputy Programme Leader of BSc (Hons) in Urban Informatics and Smart Cities

Dr YIN Tiangang  
BSc, MEng, PhD

Remarks

  • Students will be awarded one of the following degrees upon successful completion of the graduation requirements of the programme concerned:
    • BSc (Hons) in Land Surveying and Geo-Informatics 土地測量及地理資訊學(榮譽)理學士
    • BSc (Hons) in Urban Informatics and Smart Cities 城市信息學及智慧城市(榮譽)理學士
  • Students are subject to further assessment criteria, such as students’ choice, GPA, and interview performance for their selection of degrees/majors at the end of Year One.
  • The option of a Secondary Major in AI and Data Analytics (AIDA) is available to students in the BSc (Hons) in Land Surveying and Geo-Informatics. Admission to a Secondary Major is competitive and subject to different credit requirements for graduation. Please see the Secondary Major Details section for more information.

Aims and Characteristics

All admitted students will embark on a Common Year One curriculum. Towards the end of year one, students can decide whether to continue with their initial choice or switch to another choice within the Faculty. Those who wish to change to another choice need to join a competitive process through a ranking assessment, which considers a combination of entrance qualification score, Year One GPA, and interview performance.

 

Aims & Learning Outcomes

The aims of the LSGI Scheme are based on the philosophy that our graduates must be able to cope with the rapidly changing market conditions in Hong Kong, mainland China, and the region, and with the demands of their future professions in land surveying, geo-information technology, utility management and surveying, as well as urban informatics and smart cities. The Department maintains close links with professional bodies and invites industry experts to give guest lectures to students whenever appropriate.

 

Programme Characteristics

Applicants to the LSGI Scheme can choose between the following two programmes: 
 

BSc (Hons) in Land Surveying and Geo-Informatics

This programme equips students with skills in land surveying/geomatics, geo-information technology and utility surveying/management, enabling graduates to work competently and confidently as geographic information systems professionals in disciplines such as transport and logistics, and environmental, socio-economic, commercial and construction surveying, or as utility professionals in a discipline related to the surveying, condition diagnosis, maintenance and management of underground facilities.

 

BSc (Hons) in Urban Informatics and Smart Cities

This programme enables students to address the various challenges of global cities related to the rapid process of urbanisation. The main objective of this programme is to educate students on the principles and theories of urban science and to equip them with practical skills in urban analytics so that they can leverage emerging urban big data technologies and values to better understand and serve smart cities.

 

Upon completion of the programmes, students will be able to

  • apply appropriate mathematical and computing skills to solve problems and analyse data;

  • comprehend and apply the concepts and theories of geomatics and smart cities;

  • understand geomatics and smart city technologies and apply them appropriately;

  • integrate various geomatics and smart city technologies to solve problems in a professional, timely and cost-effective manner;

  • carry out and manage geomatics and smart city projects;

  • work with and supervise others in accordance with and in compliance with society’s legal, ethical and professional standards; and

  • respond to advances in geomatics and related technologies as part of their lifelong learning.

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