Remote Sensing Fundamentals

The course covers remote sensing sensors and platforms, image processing techniques, spectral analysis, classification methods, and integrating remote sensing with geographic information systems (GIS). Students will also explore various applications of remote sensing in fields such as environmental monitoring, land cover mapping, agriculture, and urban planning.
 

Open and Web GIS and Programming 

The course focuses on developing practical skills in utilising open-source tools and programming languages to create interactive web maps, geospatial data visualisation, and spatial analysis. Students will gain hands-on experience with popular open-source GIS software and programming libraries, enabling them to build robust and scalable web-based GIS applications.
 

Geographic Information Systems for Environmental Management

Key skills acquired in this course include conducting professional map design, spatial dataset development, and spatial analyses that can be applied to environmental applications such as disaster management and water resource management.

GIS for Urban & Regional Planning

The course assists students in understanding the processes that shape our environment, predicting their future effects, and providing improved information to support planning and policymaking.
 

Geospatial Data Acquisition and Management

Students will gain knowledge and skills in various data acquisition techniques, such as remote sensing, global positioning systems (GPS), and surveying. They will also learn about data management strategies, including data organisation, quality control, and database design.
 

Advanced GIS and Remote Sensing Techniques 

Building upon foundational knowledge, it delves into advanced topics related to GIS and remote sensing, including spatial modelling, advanced image processing, spatial statistics, and data fusion. The course emphasises hands-on learning through practical exercises, case studies, and research projects.
 

Geospatial Analyses for Crime and Criminal Activities

The course explores remote sensing technologies, including satellite imagery, aerial photography, and unmanned aerial vehicles (UAVs), for capturing and analysing crime-related data. Students will learn about the various remote sensing sensors, data acquisition methods, and image processing techniques used in crime analysis.
 

Geospatial Applications in Mining

The course begins with an introduction to GIS and its relevance in the mining industry, establishing a solid foundation of spatial data management and analysis concepts. Students will explore the methods of acquiring spatial data specific to mining operations, including surveying techniques, remote sensing, and LiDAR.
 

Environmental Pollution and Analysis

This course aims to provide an understanding of environmental pollution. It provides an overview of the structure of the environment and deals with the major problems of atmospheric, water and soil pollution by focusing on the types of pollutants, the causes responsible for the occurrence and release of the pollutants in the environment, the effects of the pollutants as well as control measures.
 

Environmental Remote Sensing

Students will understand the concepts of matter-energy interactions and image processing techniques, then apply tools for examining planetary features at intermediate to global scales. They will learn to manipulate multispectral datasets, interpret spectral signatures of common surface features, and select the right sensors, satellite bands, and resolutions for their scientific applications.
 

Applied Geospatial Applications for Urban and Regional Planning

Students will acquire important geospatial methodologies such as the incorporation of participatory methods in GIS projects and imagery classification techniques using remotely sensed data. Students adopt the process-oriented approach to solving important spatial problems through GIS-based computational and statistical analysis.
 

Research Methods in GIS and Remote Sensing

The course emphasises the practical aspects of conducting research in these domains and aims to equip students with the necessary skills to undertake their own research projects. The course focuses on research design, data collection, data analysis, and interpretation techniques specific to GIS and remote sensing applications.
 

Fluvial and Coastal GIS

The course covers topics such as hydrological modelling, flood risk assessment, coastal erosion analysis, habitat mapping, and ecosystem management.
 

Socio-Economic/Quantitative GIS 

The course will explore advanced topics and methodologies in spatial data analysis, spatial modelling, and geostatistics for socio-economic applications.
 

Media and Journalism GIS

The course integrates the principles of GIS with the practices of media and journalism, enabling students to leverage spatial data to enhance storytelling, data-driven reporting, and geospatial analysis
 

GIS in Health 

Students will engage in practical exercises, case studies, and hands-on projects to apply their knowledge and skills in real-world health scenarios. They will develop critical thinking and data analysis, preparing them for careers in health mapping, public health, or research institutions where they can effectively leverage GIS in the field of health.
 

GIS and Remote Sensing Thesis

The core aspect of this course revolves around the research component, where students can identify a research topic of interest within the GIS and Remote Sensing domain. Under the guidance of two experienced faculty members and mentors, students undertake an extensive research project to explore and address real-world spatial problems or challenges.
 

Problem-solving with GIS: Demonstrations and Applications

Students will engage in interactive demonstrations and practical exercises to gain proficiency in GIS software, data analysis, spatial modelling, and decision-making. They will learn to identify and define spatial problems, formulate appropriate methodologies, gather relevant data, analyse and interpret results, and communicate their findings effectively.