C2005 · Monash University · UG specialist
Bachelor of Artificial Intelligence
Faculty of Information Technology
- Minimum ATAR
- 80
- Full time
- 3 years
- Part time
- 6 years
- Credit points
- 144
- Campus
- —
- Mode
- On campus
First-year units
Level 1 units every student in this course takes or chooses from.
- FIT1045Software development 1: Programming foundationsProgramming is not just about writing code; it is about learning how to turn ideas and problems into clear, reliable instructions that a computer can execute. This unit introduces programming through computational thinking, algorithm design…
- FIT1047Computing systems 1: foundations and operationsEvery time you run a program, open a file, connect to a network, train a model, deploy a service, or launch a container, layers of computing systems are working beneath the surface. This unit helps you understand those layers and gives you…
- FIT1059Artificial intelligence: Concepts and tools for impactIn this hands-on unit, you explore how evolving technology, data, and artificial intelligence affect individuals, societies, organisations, and the environment. The unit is co-run by staff drawn from across the university who provide direct…
- FIT1056Making with artificial intelligence: Software in the AI eraSoftware is increasingly built by people working in partnership with AI tools, but useful software still starts with understanding real needs and making good design decisions. This unit introduces you to AI-powered software development thro…
- MTH1010Functions and their applicationsFunctions, domain and range, function representation; different types of functions including linear, exponential, logarithmic, trigonometric, polynomial and rational functions; function algebra; composition of functions; inverse of function…
- FIT1061Artificial intelligence algorithm foundationsThis unit introduces you to the field of Artificial Intelligence (AI) as a specialisation within Computer Science. It provides an overview of the foundations of AI, including the history, key concepts, and applications across diverse domain…
Course structure
Open a major, minor or specialisation to see its units.
Rules for completing this course
You must complete 144 credit points, of which 96 credit points must be from artificial intelligence study, and 48 credit points are used to provide additional depth or breadth through elective study. Elective units may be at any level, however, no more than ten units (60 credit points) can be credited to the artificial intelligence course at Level 1, and a minimum of 36 credit points must be completed in artificial intelligence at Level 3. If you are selected to participate in the IBL placement program, you will complete the FIT3045 Industry-based learning (18 credit points) and FIT2108 Industry-based learning (0 credit points). This will replace three free electives (18 credit points). All students in the IBL program must complete a unit over the summer semester or overload in one semester by one unit in order to complete the degree within three years (this is because you only complete 18 credit points of credit during the IBL placement semester). You must have completed at least three semesters of your course before starting your IBL placement. Note: Students at the Malaysia campus are required to complete an industry placement in order to graduate. This can be either the Industry-based learning unit (Part C) or the zero-credit-point unit FIT3199: Industry work experience. This unit will provide a framework for all undergraduate information technology students at the Malaysia Campus to complete the compulsory industry experience as required by the Malaysian Qualifications Agency.
Part A. Foundation studies
24 cpYou must complete the following units
- FIT1045Software development 1: Programming foundations6 cp
- FIT1047Computing systems 1: foundations and operations6 cp
- FIT1059Artificial intelligence: Concepts and tools for impact 6 cp
FIT1066 Responsible use of data in the age of AI
6 cpThis unit is under development
Part B. Specialist studies
48 cpYou must complete one of the following specialisations
Applied artificial intelligence
48 cpYou must complete the following units
- FIT1056Making with artificial intelligence: Software in the AI era6 cp
FIT2116 Artificial Intelligence applications in context
6 cpThis unit is under development
FIT2118 Artificial intelligence futures: Research directions, drivers and dangers
6 cpThis unit is under development
FIT2131 Practical artificial intelligence application and development
6 cpThis unit is under development
FIT3205 Applied computer vision
6 cpThis unit is under development
FIT3206 Conversation for artificial intelligence
6 cpThis unit is under development
FIT3207 Computing in practice: Leadership and influence
6 cpThis unit is under development
FIT3226 Agentic and distributed AI: Multi-agent systems, swarms and artificial life
6 cpThis unit is under development
Artificial intelligence algorithms and models
48 cpIf you have not completed VCE (Units 3 and 4) Mathematical Methods or Specialist mathematics, or equivalent, you must complete foundation unit: MTH1010 Functions and their applications. In the single degree, this unit is taken in place of a Level 1 free elective. In a double degree, you will be required to increase the total credit points needed for the double degree by 6 credit points. A study overload will occur in Year 1 or 2 in consultation with the course director..
- MTH1010Functions and their applications6 cp
Core units
36 cp- FIT1061Artificial intelligence algorithm foundations 6 cp
- FIT2111Symbolic artificial intelligence and machine learning6 cp
- FIT2112Deep learning6 cp
FIT2115 Data structures and algorithms 1
6 cpThis unit is under development
FIT2132 Reasoning with data
6 cpThis unit is under development
MAT1003 Mathematics for algorithms and models
6 cpThis unit is under development
Electives
12 cpYou must complete two of the following units
- FIT3191Generative artificial intelligence 6 cp
- FIT3192Emerging and advanced topics in artificial intelligence6 cp
- FIT3203Embodied artificial intelligence6 cp
FIT3233 Optimisation and reinforcement learning
6 cpThis unit is under development
Part C. Practice studies
24 cpYou must complete FIT2119 and either the AI in practice project units (18 credit points) or the Industry-based Learning placement units (18 credit points). FIT2119 Computing in practice: Professional practice - 6 credit points (This unit is under development)
Industry-based learning placement units
18 cpClayton students If you are selected to participate in the IBL placement program you will complete FIT3045 Industry-based learning (18 credit points) and FIT2108 Industry-based learning (0 credit points); or FIT3045, FIT2108 and one of FIT3201 Industry-based learning onboarding (8 weeks) (0 credit points) or FIT3202 Industry-based learning onboarding (4 weeks) (0 credit points) (depending on the duration of your placement). This will replace FIT2129, FIT3227, and FIT3228. Malaysia students Students at the Malaysia campus are required to have completed an industry placement in order to graduate as required by the Malaysian Qualifications Agency. This can either be FIT3045 Industry based learning (if you are selected to participate) or FIT3199 Industry work experience. Note: You must complete FIT3199 over the Summer vacation period between second and third year.
AI in practice project units
18 cpFIT2120 Artificial intelligence in practice: Project practices and management
6 cpThis unit is under development
FIT3208 Artificial intelligence in practice: Project 1
6 cpThis unit is under development
FIT3209 Artificial intelligence in practice: Project 2
6 cpThis unit is under development
Part D. Free elective studies
48 cpYour elective units may be chosen from the Faculty of Information Technology, or from across the University; or you may choose to complete a major or minor from the Faculty of Information Technology or other courses, as long as you have the prerequisites and there are no restrictions on enrolment in the units. Elective units may be at any level; however, no more than 10 units (60 credit points) at Level 1 may be credited to your degree, and a minimum of 36 credit points must be at Level 3. If you are in a double degree course, some units required for the partner degree are credited as electives towards the AI degree. You may complete one of the Flagship Rich Educational Experiences (FREE) units. These flagship rich educational experience units may be credited utilising your free electives if approved by the faculty. There are both 6 and 12 credit points unit options available.