Program Overview

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Centre for Continuing Education

The Centre for Continuing Education at the University of Sydney offers a diverse range of professional development short courses. These courses are designed to enhance career prospects and provide individuals with the skills and knowledge required to succeed in their chosen field.

Course Subjects

The Centre for Continuing Education offers courses in various subjects, including:

• Business and management
  • Business communication
  • Business strategy
  • Business writing
  • Cultural competence and diversity
  • Finance
  • Leadership
  • Management
  • Organisational psychology
  • Sales and customer service
• English
• HSC preparation (years 10-12)
  • HSC biology
  • HSC business studies
  • HSC chemistry
  • HSC economics
  • HSC English
  • HSC mathematics
  • HSC physics
  • Year 11 (Revision)
  • Years 10-12 study and essay skills
• Humanities and culture
  • Creative writing
  • Music
  • Philosophy
  • Psychology
• Information technology
  • Adobe
  • AI and machine learning courses
  • Data analysis and analytics
  • Google
  • Microsoft
• Language
  • Arabic
  • Brazilian Portuguese
  • Chinese
  • French
  • German
  • Greek
  • Italian
  • Japanese
  • Spanish
• Marketing
  • Digital marketing
  • Marketing communications
  • Product development
• Project management
  • Agile methodology courses
  • Change management for projects
  • Stakeholder and people management
  • Technical project management skills

GIS Course: Intermediate

The GIS Course: Intermediate is designed to provide students with in-depth training in Geographic Information Systems (GIS) and spatial data analysis. The course aims to enhance the skills of IT professionals, managers, and others in deriving actionable insights from spatial data.

Course Details

• Duration: 1 session, 8 hours total
• Next date: 26 November 2025
• Location: Face-to-face (CCE Building, Newtown)
• Cost: A$575.00

Course Information

The course covers topics such as geoprocessing tools, automation of spatial processes, raster imagery, metadata management, and more. The course uses the ArcGIS Pro software and includes a gentle introduction to programmatic GIS using the R programming language.

Aims

The course aims to provide students with a deeper understanding of GIS techniques and increase their confidence, efficiency, and proficiency in working with spatial data.

Outcomes

By the end of the course, students should be able to:

• Migrate from ArcGIS Desktop 10.x to ArcGIS Pro
• Run complex geoprocessing tools
• Use and process raster spatial data
• Work with and process other spatial data formats like KML and geojson
• Build automated geoprocessing tasks in ModelBuilder or programming
• Create easy-to-use layer files
• Edit spatial data in Editor Mode
• Update spatial data metadata

Content

The course covers the following topics:

• ArcGIS Pro
• Raster data
• Geoprocessing tools
• Other spatial data formats
• Editor Mode
• Programmatic GIS

Intended Audience

The course is designed for industry professionals and managers looking to enhance their GIS and spatial data skill set or those looking to upskill for labour market competitiveness.

Prerequisites

It is assumed that students have completed CCE’s GIS Course: Introduction (Geographic Information Systems) or have equivalent knowledge.

Delivery Mode

The course is delivered face-to-face, presenter-taught training in a computer lab.

Delivery Style

The course is taught over one day, an interactive workshop that includes lectures, individual exercises, and discussion.

Materials

All course materials and files are available electronically (via Dropbox).

Organisational Training

For groups of six or more, courses can be delivered to your team with the option to tailor content.

Meet the Facilitators

The course is facilitated by Tony Arnold, who has extensive experience in developing software algorithms and transitioning into the transport sector.

What Others Say

Previous students have praised the course, stating that the facilitator did a great job delivering complex concepts effortlessly and that the course was well-presented and engaging.

Related Courses

Related courses include:

• GIS Course: Introduction
• Git Course: Introduction
• Python Programming Course: Level 1A
• R Programming Course: Introduction
• SPSS Course: Introduction
• Statistics Using SPSS Course
• Tableau Course: Level 1A

Frequently Asked Questions

Frequently asked questions about applications, payment, short courses, and more can be found on the Centre for Continuing Education website.