Geospatial Data Analytics unit (KGG375)

Hobart, Online

Introduction

Geospatial Data Analytics is an innovative unit designed to provide you with foundational knowledge and practical skills in geospatial programming, building on the knowledge gained in KGG212 GIS: Spatial Analysis. With a primary focus on Python, a powerful and widely used programming/scripting language, this unit explores the latest tools and techniques in geospatial data processing and analysis, encompassing GIS and remote sensing applications. In this unit, you will engage with various Python libraries and frameworks specifically created for geospatial data manipulation, visualisation, and analytics. The unit fosters an understanding of custom GIS solution development, automation of geospatial workflows, and insightful analysis of geospatial data, enabling students to thrive as highly competent professionals in the spatial industry.

Summary

Unit name	Geospatial Data Analytics
Unit code	KGG375
Credit points	12.5
College/School	Sciences and Engineering School of Geography, Planning, and Spatial Sciences
Discipline	Geography, Planning, and Spatial Sciences
Coordinator	Doctor Mark Williams
Available as an elective?	Yes
Delivered By	University of Tasmania
Level	Advanced

Availability

Location	Study period	Attendance options		Available to
Hobart	Semester 2
Online	Semester 2

Note

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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

Key Dates

Study Period	Start date	Census date	WW date	End date
Semester 2	5/7/2026	27/7/2026	30/8/2026	24/10/2026

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2026 are indicative and subject to change. Finalised census dates for 2026 will be available from the 1st October 2025. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

• Apply Python programming techniques to effectively manipulate, analyse, and visualise geospatial data, including GIS and remote sensing datasets.
• Automate geospatial workflows through Python scripting.
• Develop custom geospatial algorithms and tools using Python scripting for real-world spatial challenges.
• Justify coding choices to produce code that meets industry standard for coding style and documentation.

Fee Information

Field of Education	Commencing Student Contribution 1,3	Grandfathered Student Contribution 1,3	Approved Pathway Course Student Contribution 2,3	Domestic Full Fee 4
031101	$1,192.00	$1,192.00	not applicable	$3,401.00

• Available as a Commonwealth Supported Place
• HECS-HELP is available on this unit, depending on your eligibility³
• FEE-HELP is available on this unit, depending on your eligibility⁴

¹ Please refer to more information on student contribution amounts.
² Please refer to more information on eligibility and Approved Pathway courses.
³ Please refer to more information on eligibility for HECS-HELP.
⁴ Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UniConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Requisites

Prerequisites

KGG212

Teaching

Teaching Pattern	12 x 1-hr seminars (online only), 12 x 1-hr pre-recorded videos, 12 x 3-hr practicals (on campus with Zoom). Seminars and practical introductions will be recorded and made available on MyLO.
Assessment	Fundamentals of Python Programming for Geospatial Data Processing (20%)|Automating GIS Workflows with Python (40%)|GIS Project (40%)
Timetable	View the lecture timetable | View the full unit timetable

Textbooks

Required	You will be required to purchase a heavily discounted series of textbooks. https://leanpub.com/b/geopython/c/utas. You will work through parts of this textbook through practical sessions.
Recommended	You will be working through Python tutorials provided by DataCamp: https://www.datacamp.com/ (access to these tutorials is provided during the unit)

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.