CourseBachelor DegreeBCyberAI (Industry)

C2014 Bachelor of CyberAI (Industry Co-Lab)

Faculty of Information Technology

Bachelor of CyberAI (Industry Co-Lab) (C2014) is a 3 years full-time, 144-credit-point, bachelor degree course from the Faculty of Information Technology, taught at Clayton. Map your units semester by semester with the MonMap planner.

Credit points
144
Duration
3 years full time
Campus
Clayton
On campus
Guaranteed ATAR
80

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Requisite map

The 2027 handbook lists no units for C2014 itself. Pick an area of study to see its units.

Course structure

Rules
In this course you must complete 144 credit points as specified in the following course requirements, including:
- a maximum of 60 credit points at Level 1; and
- a minimum of 36 credit points at Level 3.
Part A. Foundation studies36 credit points
You must complete:

FIT1045 Software development 1: Programming foundations
FIT1047 Computing systems 1: Foundations and operations
FIT1057 Introduction to cybersecurity
FIT1059 Artificial intelligence: Concepts and tools for impact
FIT1093 Cybersecurity tools and techniques
FIT2131 Practical AI application and development
Part B. Specialist studies48 credit points
You must complete:

FIT2121 System architecture and integration
FIT2165 Computer Networks
FIT2123 Collaborative learning studio A
FIT2124 Collaborative learning studio B
FIT2125 Collaborative learning studio C
FIT2126 Collaborative learning studio D
FIT3216 Collaborative learning studio E
FIT3217 Collaborative learning studio F
Part C. Practice studies48 credit points
You must complete:

FIT2127 Integrated industry professional program 1 (12cp)
FIT2128 Integrated industry professional program 2 (12cp)
FIT3218 Integrated industry professional program 3 (12cp)
FIT3219 Integrated industry professional program 4 (12cp)
Part D. Free electives studies12 credit points
Your elective units may be chosen from the faculty or across the University, as long as you have completed the prerequisites and there are no enrolment restrictions on the units. In choosing your units, you must ensure that you complete no more than 60 credit points at Level 1 and at least 36 credit points at Level 3 in this course.
The handbook's description of this structure

This course is structured in four parts. This course develops through a coherent sequence: Part A. Foundational studies, Part B. Specialist studies, Part C. Practice studies and Part D. Free elective studies.

Part A. Foundation studies

Foundation studies introduce core concepts in programming, computer systems, networks, cybersecurity, and artificial intelligence, alongside the social, ethical, and environmental impacts of technology. These studies establish the technical and professional foundations required for secure and responsible practice.

Part B. Specialist studies

These studies develop your specialist knowledge domains and deepen your capability across key areas of cybersecurity and AI, including secure systems design, network and cloud security, AI applications in cybersecurity, and emerging topics in intelligent and adversarial systems. These knowledge domains will be explored and taught as part of a collaborative learning studio approach on campus and within the organisation.

Part C. Practice studies

Practice studies provide a structured, industry-embedded learning experience through which you apply your knowledge in progressively more complex and authentic contexts. You will engage in supervised, curriculum-aligned activities within partner organisations, developing practical capability, professional behaviours, and contextual understanding. This includes participation in collaborative learning environments and workplace-based projects aligned to academic outcomes.

Part D. Free elective studies

These elective units will enable you to broaden and deepen your knowledge of cybersecurity and artificial intelligence, or to select units from across the Faculty or University in which you are eligible to enrol.

Course progression map

The course progression map provides on unit enrolment for each semester of study.

This course comprises 144 points. This course has 36 points of foundation units across cybersecurity and artificial intelligence study, and 48 points to provide additional depth or breadth through the collaborative learning studios which will focus on the specific domain knowledge areas. This course will operate with strategic significant industry partners with students embedded in organisations in groups of 5 students from Year 2.

Elective units may be at any level; however, no more than ten units (60 points) can be completed at level 1, and a minimum of 36 points must be completed at level 3.

Units are 6 points unless otherwise stated.

Part A. Foundation studies (36 points)

You must complete:

  • FIT1045 Software development 1: Programming foundations
  • FIT1047 Computing systems 1: Foundations and operations
  • FIT1057 Introduction to cybersecurity
  • FIT1059 Artificial intelligence: Concepts and tools for impact
  • FIT1093 Cybersecurity tools and techniques
  • FIT2131 Practical AI application and development

Part B. Specialist studies (48 points)

You must complete:

  • FIT2121 System architecture and integration
  • FIT2165 Computer networks
  • FIT2123 Collaborative learning studio A
  • FIT2124 Collaborative learning studio B
  • FIT2125 Collaborative learning studio C
  • FIT2126 Collaborative learning studio D
  • FIT3216 Collaborative learning studio E
  • FIT3217 Collaborative learning studio F

Part C. Practice studies (48 points)

You must complete:

  • FIT2127 Integrated industry professional program 1 (12cp)
  • FIT2128 Integrated industry professional program 2 (12cp)
  • FIT3218 Integrated industry professional program 3 (12cp)
  • FIT3219 Integrated industry professional program 4 (12cp)

Part D. Free elective studies (12 points)

Your elective units may be chosen from the faculty or across the University, as long as you have completed the prerequisites and there are no enrolment restrictions on the units.

Learning outcomes

These course outcomes are aligned with the Australian Qualifications Framework and Monash Graduate Attributes.

Upon successful completion of this course it is expected that you will be able to:

  1. 1

    Apply ethical principles and professional standards to cybersecurity and AI work, and evaluate the impacts of technical decisions on people, organisations, and society.

  2. 2

    Critically engage with emerging cyber threats, AI technologies, and industry practices, using reflective practice to improve learning and decision-making.

  3. 3

    Communicate effectively using technical and non-technical language in written, verbal, and visual forms across professional and interdisciplinary contexts.

  4. 4

    Plan, deliver, and evaluate cybersecurity and AI initiatives across the solution lifecycle, coordinating with stakeholders to meet technical, organisational, legal and regulatory requirements in varied contexts.

  5. 5

    Apply adversarial, analytical, and systems thinking to address complex cybersecurity and AI problems through evidence-based and risk-informed approaches.

  6. 6

    Design, develop, and implement secure systems, applications, cloud environments, and AI-enabled solutions using computing and security foundations to meet specified requirements.

  7. 7

    Select, apply, and critically assess AI methods, tools, and techniques in cybersecurity, including the secure use of AI-enabled systems.

Entry requirements

Guaranteed ATAR and selection rank

80; International: UERT Year 12/Foundation Band 4+ (85 - 87.49); Foundation Band 4+ (85 - 87.49); UERT Post-secondary Band 4 (High Distinction)

More information

Progression to further studies

Successful completion of the Bachelor of CyberAI (Industry Co-Lab) may provide a pathway to the one-year honours course Bachelor of Information Technology (Honours). To be eligible to apply for entry into the Bachelor of Information Technology (Honours), you must have successfully completed a relevant Australian bachelor's degree (or equivalent) with an average of at least 70% overall or equivalent qualifications and experience approved by the faculty.

Other information

The Bachelor of CyberAI (Industry Co-Lab) is a practice-centred undergraduate degree designed to prepare you to operate at the intersection of cybersecurity and artificial intelligence. In this course you will develop capability in secure systems, cybersecurity operations, and AI-enabled technologies, enabling you to design, implement, and manage intelligent and secure solutions in real-world environments.

A defining feature of this course is the Immersive Industry Partnership Model, where you will be embedded within a strategic partner organisation during the second and third year of your studies.

You will work in small teams (pods) of approximately five students, collaborating on real-world projects and activities that reflect professional practice. Each team is supported by an academic supervisor and an industry mentor, who will provide guidance in the professional placement setting on workplace practices, expectations, and day to day learning. You will undertake the Collaborative Studio work both in the organisation and on campus in the CYBERAI Collaborative Learning Studio.

This model integrates academic study with sustained industry experience, allowing you to apply your learning in an authentic context and progressively develop technical capability and professional judgement.

The course is structured across foundational studies and progressively advanced, industry-integrated learning. You will build core knowledge in programming, systems, cybersecurity, and AI, before applying these skills through structured industry experiences aligned to real operational environments. The course emphasises responsible and secure AI practice, including ethics, privacy, governance, and risk management.

You will graduate from this course with substantial industry experience, a portfolio of applied work, and the capability to collaborate effectively with technical and non-technical stakeholders across cybersecurity and technology domains. This course has been co-designed with our industry cybersecurity partners.

Common questions

How long is Bachelor of CyberAI (Industry Co-Lab)?

3 years full time, 144 credit points. At 24 credit points a semester, that is 6 semesters of full-time study.

What ATAR do I need for Bachelor of CyberAI (Industry Co-Lab)?

The guaranteed ATAR listed for 2027 entry is 80.

Where can I study Bachelor of CyberAI (Industry Co-Lab)?

At Clayton.

How do I plan my Bachelor of CyberAI (Industry Co-Lab) units?

Open the course in the MonMap planner. It lays out your semesters, checks prerequisites as you drag units in, and tracks the credit points each requirement still needs.

Course details

Qualification
Bachelor Degree
AQF level
Level 7
Credit points
144
Full time
3 Years
Faculty
Faculty of Information Technology
Abbreviation
BCyberAI (Industry)
Award title
Bachelor of CyberAI (Industry Co-Lab)
Handbook years
2027