AI-Driven Cyber Security (Micro) (12266.1)

Please note these are the 2027 details for this unit
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AI-Driven Cyber Security (Micro)
Available teaching periods Delivery mode Location
View teaching periods Online self-paced
 Bruce, Canberra
EFTSL Credit points Faculty
0.041 1 Faculty Of Science And Technology
Discipline Study level HECS Bands
School Of Information Technology & Systems Level 2 - Undergraduate Intermediate Unit Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
This microcredential will introduce students to the fundamentals of AI-driven Cyber Security and the ethical frameworks that guide its application. Students will explore how AI and AI-based tools can be used to analyse, detect, and respond to cyber threats, apply ethical and governance frameworks to evaluate risks, and communicate findings to both technical and non-technical audiences. The microcredential will build transferable skills in ethical reasoning, problem solving, and professional communication, preparing students for future roles across government, business, and community sectors.

Learning outcomes

Upon successful completion of this unit, students will be able to:
1. Explain AI-driven approaches to cyber security, including ethical, legal, and governance considerations in diverse digital environments.
2. Apply AI tools and ethical frameworks to analyse cyber incidents, design incident responses, and communicate security strategies to technical and non-technical audiences.


Graduate attributes

1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives


Prerequisites

None.

Corequisites

None.

Incompatible units

None.

Equivalent units

None.

Assumed knowledge

None.
Availability for enrolment in 2027 is subject to change and may not be confirmed until closer to the teaching start date.
Year Location Teaching period Teaching start date Delivery mode Unit convener
2026 Bruce, Canberra Semester 1 16 February 2026 Online self-paced Prof Dharmendra Sharma
2026 Bruce, Canberra Semester 2 10 August 2026 Online self-paced Prof Dharmendra Sharma
2027 Bruce, Canberra Semester 1 15 February 2027 Online self-paced Prof Dharmendra Sharma
2027 Bruce, Canberra Semester 2 09 August 2027 Online self-paced Prof Dharmendra Sharma
The information provided should be used as a guide only. Timetables may not be finalised until week 2 of the teaching period and are subject to change. Search for the unit timetable.

Required texts

None. There are no prescribed textbooks required for this unit. All learning modules and online activities include links to publicly available short readings and resources.

Submission of assessment items

Extensions & Late submissions

Artificial intelligence

  • Guided - Students will be guided in how GenAI must/may be used in completing the assessment as detailed in the unit outline and assessment instructions. More detailed information can be found at GenAI and Assessment at UC

Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.

Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.

UC students have to complete the Academic Integrity Module annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).

UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.

Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and University of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.

Learner engagement

The commitment/ effort (volume of learning) required of learners is 50 hours in total. This estimate of hours should include: 

  1. Estimated number of hours of asynchronous online content and reading/viewing of audiovisual material, etc. (3X9=27 hours) 
  1. Estimated number of hours spent on assessment. (15 hrs) 
  1. Estimated time needed to complete exercises and activities (8 hours)  

Participation requirements

This is a self-paced online unit. Students are required to complete the learning modules and the assessment task at their own pace and submit the assessment by the specified due date. There are no mandatory attendance or participation requirements.

Required IT skills

Students are expected to have basic skills in using personal computers, including installing software by following provided instructions or manuals. A basic understanding of computer systems, hardware and software is assumed. 

Work placement, internships or practicums

None

Next step

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