Course Title: Spatial Data Management
Part A: Course Overview
Course Title: Spatial Data Management
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
GEOM2168 |
City Campus |
Undergraduate |
171H School of Science |
Face-to-Face |
Sem 2 2025 |
Course Coordinator: Monica Wachowicz
Course Coordinator Phone: -
Course Coordinator Email: monica.wachowicz@rmit.edu.au
Course Coordinator Location: City Campus
Course Coordinator Availability: By appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
None
Course Description
In today’s increasingly digital and interconnected world, spatial data is everywhere: from the maps on your phone and satellite images of cities to the sensors that monitor traffic, weather, and even wildlife movement. This course will introduce you to the principles and tools that help us make sense of this complex, multidimensional geographic information. You'll learn how to store, organise, and analyse spatial data in ways that support data-driven decisions, whether you're building a climate model, planning urban infrastructure, or tracking environmental change.
But spatial data management is not just about technology. It’s also about solving real-world problems. By the end of this course, you'll be equipped to work with the data that shapes how we understand and improve our world. This course is ideal for students pursuing careers in GIS, urban analytics, infrastructure planning, or environmental data science, and equips them with the practical skills to support smart, data-driven decision-making in urban environments.
Objectives/Learning Outcomes/Capability Development
Program Learning Outcomes
This course contributes to the program learning outcomes for the following programs:
BH117P23 - Bachelor of Geospatial Science (Honours)
PLO1 Apply advanced and coherent knowledge of theories, principles, concepts, technologies, and specialist practices in the geospatial science.
PLO2 Critically analyse and evaluate geospatial data from different sources, standards, and governance for supporting a range of applications, using methods, tools, and technologies in the geospatial discipline.
PLO4 Critically review and synthesize principles of geospatial science summarising current and emerging professional trends to inform evidence based decision making and generate geospatial intelligence
PLO5 Critically evaluate and communicate geospatial scientific and research findings to diverse audiences utilising contemporary and traditional formats employing integrity and culturally safe practices.
PLO6 Work independently, with agility, safety, and accountability for own learning and professional future.
For more information on the program learning outcomes for your program, please see the program guide.
Upon successful completion of this course, you will be able to:
- Analyse the unique characteristics of spatial data and its management challenges in geospatial applications.
- Apply spatial data management principles to ensure quality, security, and ethical use of spatial data.
- Evaluate the implications of AI and automation in spatial data management.
- Implement spatial data management techniques using contemporary tools and data portals, discuss technical challenges encountered in the process
- Explain on the ethical and societal impacts of AI in spatial data management
Overview of Learning Activities
You will be actively engaged in a range of learning activities such as lectorials, tutorials, seminars, , class discussion, and individual activities. Delivery may be face to face, online or a mix of both.
You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, and through links and material specific to this course that is available through myRMIT Studies Course.
Overview of Learning Resources
A range of learning resources is available on the course Canvas site to support your study. These include essential readings, curated academic articles, instructional videos, and step-by-step guides to help you understand key concepts and develop technical skills. You’ll also find lecture slides, practical instructions, and links to relevant external tools and datasets. The discussion forum is available for asking questions and engaging with your peers and teaching team,.
RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course.
Weekly learning resources are set up and available in Canvas.
A list of recommended learning resources will be provided by your lecturer, which may include books, journal articles and web resources. You will also be expected to seek further resources relevant to the focus of your own learning.
There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.
Overview of Assessment
Assessment Tasks
Assessment Task 1: Reflection Questions
Weighting 20%
This assessment task supports CLO1 and CLO5
Assessment Task 2: Evaluation Essay
Weighting 20%
This assessment task supports CLO2
Assessment Task 3: Analysis Study
Weighting 20%
This assessment task supports CLO3
Assessment Task 4: Project Report
Weighting 40%
This assessment task supports CLO4
If you have a long term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.