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Overview

Providing a pathway into a range of postgraduate IT degrees, La Trobe’s Graduate Certificate in Information Technology Fundamentals is your first step to a successful career in IT. With technology taking a front-and-centre role in modern business, IT professionals are in high demand. Industries from media and government to health … For more content click the Read more button below. Whether you’re working in IT already and want to deepen your knowledge, or you’re new to IT and want to break into this fast-growing industry, La Trobe’s Graduate Certificate in Information Technology Fundamentals gives you a strong foundation you can use to launch the rest of your career. Not sure exactly how to secure your dream job? No need to worry – our supportive academic staff will work with you to understand your career goals and help you make them happen. Delivered in just six months full-time, this course provides you with a solid foundation in IT fundamentals, programming and statistics – highly transferable skills you can apply in a wide range of industries. From there, you’ll be ready to apply for one of our IT Master’s degrees, choosing from specialist qualifications in artificial intelligence, cybersecurity, data science, digital media, information technology or the Internet of Things You'll learn:Programming 101Understand how to design and create software solutions using Python. Learn how to tackle practical problems using real-life scenarios.Information technology fundamentalsBuild foundational skills in computer operation, hardware components, data storage and retrieval, system software, operating systems, file management systems, security and more.Probability and statistics for data scienceExplore the R statistical package and the mathematical type-setting package LaTeX. Study how probability and statistics are applied to data science.Database basicsExplore the architecture and management of different database systems and models. Design and implement your own commercial standard database system to meet specifications.

Portfolio

Office of the Provost

Course coordinator

Lydia Cui

Location(s)

Melbourne (Bundoora)

CRICOS code

102578J

Course instance contact

Lydia Cui

Course duration (full time)

0.5 years

Course duration (part time)

1 year

Study level

Postgraduate

AQF level

Level 8 - Graduate Certificate

Available only as an exit award

No

Study options

Domestic

International onshore

Completion requirements

To qualify for the award of Graduate Certificate in Information Technology Fundamentals, students must complete 60 credit points as follows:

45 core credit-points

15 core choice credit points

Course structure
60 credit points

Course intended learning outcomes

On successful completion you will be able to:
1.
Apply advanced understanding of fundamental issues and techniques in information technology.
2.
Critically evaluate solutions to technical problems.
3.
Test theories in information technology using research and technical skills.
4.
Apply awareness of professional ethical values to communicate technical issues in information technology.

Career outcomes

The Graduate Certificate of Information Technology Fundamentals provides the skills you need for a career in IT – either immediately or after further postgraduate study. Possible roles include:*

  • Network administrator
    • Develop, install and provide maintenance support across network and computer systems including local area networks (LANs), wide area networks (WANs), network segments, intranets and other data communication systems.
  • Web developer
    • Design, build and maintain websites using both creative and technical skills to continuously improve safety, performance, usability and capacity.
  • Network architect
    • Plan and build data communication networks to provide both local and global connections. Analyse and implement new technologies and provide solutions to maintain and improve technical infrastructure.
  • Software developer/programmer
    • Design, test and develop software to meet user needs. Write code for programs and applications that adapt and respond to changing business requirements.
  • Machine learning engineer
    • Use data science to design and develop machine learning systems that perform statistical analysis and help to drive innovation in artificial intelligence.

*Specific outcomes may depend on the completion of further tertiary studies in IT or a related field.

Other course instances

Internal course relationships

Pathways to

Graduate Diploma in Cybersecurity

Graduate Diploma in Data Science

Graduate Diploma in Information Technology

Master of Artificial Intelligence

Master of Data Science

Master of Information Technology