Programme Structure

The full-time MSc programme will cover one year with three semesters.
The part-time MSc programme will cover two years with two semesters in the first year and three semesters in the second year.

Programme First Year Second Year
Semester Semester
1st
(Sep-Dec)
2nd
(Jan-Apr)
3rd
(May-Aug)
1st
(Sep-Dec)
2nd
(Jan-Apr)
3rd
(May-Aug)
Full-time 4 courses 4 courses Thesis
Part-time 2 courses 2 courses 2 courses 2 courses Thesis

Courses Description

Required Courses

GISM 5011
Geographic Information Systems
3 Credits
GISM 5011
Geographic Information Systems
3 Credits

This course discusses the principles and application of geographic information systems. It emphasizes on the use of GIS to organize and manage spatial data, and perform spatial analysis with GIS. Topics include: hardware/software components, raster and vector data structures, spatial database, spatial analysis and application issues. (Part-time students are advised to take this courses in the first year of study.)

GISM 5012
GIS-T and Logistical Information Management
3 Credits
GISM 5012
GIS-T and Logistical Information Management
3 Credits

This course intends to increase students' understanding of the use of transportation systems in contemporary societies and their impact in structuring the geographic space of cities, regions, and the world at large. It aims to enhance students’ knowledge of theories, techniques, and models of transportation analysis and business logistics used by practitioners in the public and private sector of the economy.

GISM 5022
Digital Remote Sensing Image Analysis
3 Credits
GISM 5022
Digital Remote Sensing Image Analysis
3 Credits

This course discusses the principles and applications of remote sensing image analysis. Topics include principle of remote sensing, acquisition of satellite imagery, format of digital images, digital image processing systems, image display, geometric correction, radiometric adjustment, image enhancement, image classification, accuracy verification, change detection, and orthophoto applications. This course is taught with both lectures and laboratories. Lectures will be accompanied by laboratories for students to grasp both the theoretical and practical issues in remote sensing image analysis. (Part-time students are advised to take this course in the first year of study.)

GISM 5023
Applied Remote Sensing
3 Credits
GISM 5023
Applied Remote Sensing
3 Credits

This course introduces a variety of applications of remote sensing in environmental monitoring. It focuses on how image analytical techniques are used in different applications so as to answer research questions pertinent to these applications. Topics include land use and land cover mapping, urban and population analysis, vegetation studies, hydrological science and terrain analysis.

GISM 5033
Spatial Decision Support System
3 Credits
GISM 5033
Spatial Decision Support System
3 Credits

This course aims at the concepts and applications of spatial decision support systems (SDSS) in solving real-life problems. Fundamentals of decision making and SDSS will be discussed. It covers various paradigms for spatial knowledge representation and inference, expert systems for building knowledge-based GIS, computational models, and intelligent SDSS. The enrichment of spatial decision support by data mining and knowledge discovery will also be examined. In-house software will be employed to facilitate discussion and to assist students to acquire hands-on experience.

GISM 5060
Statistical Analysis of Geographical Data
3 Credits
GISM 5060
Statistical Analysis of Geographical Data
3 Credits

This course provides an introduction to the basic and spatial statistical analysis methods that are commonly used to investigate geographically represented data. Topics covered include: (1) correlation analysis, (2) principal components analysis, (3) cluster analysis, (4) Geostatistical analysis, and (5) global and local spatial regression models. Students will develop their competency in using and applying GIS and statistical tools to solve real-world geographical problems through hands-on lab exercises and course projects.

GISM 6061
Thesis
4 Credits
GISM 6061
Thesis
4 Credits

Students enrolled for Master of Science of Geoinformation Science are required to select research topics independently under the supervision of related teachers. They will be required to present and submit their theses for examination.

Elective Courses

GISM 5024
Global Positioning Systems
3 Credits
GISM 5024
Global Positioning Systems
3 Credits

This course covers the basic principles of Global Positioning Systems (GPS) with emphasis on satellite positioning, communication, and accuracy and error correction. It also introduces GPS applications in navigation, Intelligent Transport Systems (ITS), mobile Geographic Information Systems (GIS), and Location-based services. Through hands-on exercises, students will learn how to use GPS devices to collect data in the field in support of various geospatial applications.

GISM 5035
Unban Environmental Modelling and Simulation
3 Credits
GISM 5035
Unban Environmental Modelling and Simulation
3 Credits

This course covers major concepts and methods for modeling spatial patterns and processes. Topics include multi-criteria evaluation, cellular automata, agent-based models, terrain modeling, spatio-temporal data modeling, integration of GIS and environmental modeling, and relevant applications. During the course, students will read about different modeling approaches, discuss applications of the models, and work on lab exercises and a course project.

GISM 5053
Design and Implementation of Geographical Information Systems
3 Credits
GISM 5053
Design and Implementation of Geographical Information Systems
3 Credits

This course covers the basic principles for GIS design and application system implementation using the mainstream techniques. Topics include requirement analysis, object-oriented design using Unified Modeling Language (UML), database normalization, and GIS customization within a GIS environment. Students will develop their competence in designing and customizing GIS tools through lectures, hands-on lab exercises, and a course project.

GISM 5065
Geospatial Big Data for Urban Planning
3 Credits
GISM 5065
Geospatial Big Data for Urban Planning
3 Credits

This course introduces to students geospatial big data (e.g., social media and GPS trajectories) and their applications in urban planning, including land functionality classification, environmental monitoring, sentiment analysis, and transportation planning. The use of GIS in various urban applications relevant to big data will also be covered. These applications encompass urban form, public health, 3D GIS, and geodesign. Through hands-on lab exercises such as data crawling from the web, 3D urban model construction using CityEngine, and geodesign using Geoplanner, students are expected to understand how geospatial big data can be applied to address real-world challenges in the urban environment, and to grasp more advanced skills relating to GIS applications.

GISM5011 and GISM5022 are elementary courses that should preferably be taken in the first study year for part-time students. For MSc programme, the total number of credits required for graduation is 28.