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Degrees and qualifications

Postgraduate-level subject-based Study
(for Semester 2, 2020/2021)

The Department of LSGI now offers a series of postgraduate-level Geomatics subjects. Students can choose to take one or more of the following subjects, depending on their interests and will receive a Transcript of Studies from the University plus a Certificate of Achievement from the Department. Up to 18 credits can be transferred to the MSc in Geomatics (GIS/Surveying) programme if you register for programme at a later date.

Subjects to be offered in Semester 2 of 2020/2021


    This subject involves entities, the topological, geometric, and mostly their spatial locations. Their spatial characteristics are described by spatial statistics and distributions. Spatial randomness issues are addressed via point pattern analysis techniques. Patterns of future locations and values are examined. Methods involving measuring the similarity of nearby features are introduced. Standard statistical regression concepts are extended to include multivariate and spatial processes through spatial autocorrelation with the aid of geographically weighted regression. Topics on spatial data mining and knowledge discovery, and spatial data warehouse issues are introduced.

  • LSGI541 ADVANCED GIS AND LBS (3 credits)

    To provide the students with an understanding of mobile geographic information systems from the software engineering, data handling and management point of views. It allows students to get a clear understanding of the issues to consider when working on a mobile-based GIS applications, and latest development of ubiquitous positioning, and a critical mind on designing a LBS application by integrating positioning technologies with GIS and computer programming techniques.

  • LSGI545 URBAN INFORMATICS (3 credits)

    This course provides a hands-on introduction to the tools, technologies, and practical approaches used to organize and analyze urban data. It enables students to apply the theories and concepts of urban science to a variety of practical issues in urban planning and Smart City development; develop experience with the software tools of geo-information technology, such as ArcGIS, to analyze urban data; employ these software tools to collect, organize, analyze, and visualize urban data associated with urban issues; utilize their knowledge of the theories, methods, and tools of urban science and informatics better understand cities and inform Smart City planning and development; and develop organizational, interpersonal teamwork, and presentation skills through group projects and participation in class discussions.


    To provide the students with an understanding of the latest development in geographic information systems covering: spatial data quality control, three-dimensional data modeling, dynamic and multi-resolution data models, GIS data capture from high resolution satellite images and the future trends of GIS.

  • LSGI548 ADVANCED SURVEYING (3 credits)

    This subject provides an in-depth study of the application of modern geomatics technologies in various surveying projects, and the methodologies for data processing, analysis, and interpretation.


    The aims of this subject are to provide fundamental and depth knowledge of the topics in the area of photogrammetry and computer vision. The development of the fundamental mathematical models and study of advanced techniques will allow students to be equipped with the knowledge and practical skills. This subject also emphasizes training students with the latest developments in photogrammetry and computer vision for problem-solving.

Programme Structure

Term duration:
18 Jan - 24 April 2021
Class schedule(s):
One weekday evening per subject (6:30 pm - 9:30 pm)
Tuition fees:
HK$4,500 per credit

Deadline for application

Application deadline of semester two: one week before commencement of the semester


For further information:

Tel: (852) 2766-5968

Please click here to Taught Postgraduate - Subject-based Admission and download Subject-based Study Application Form

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