Top 200 worldwide for computer science and information systems
Globally recognised Australian degree in Singapore
Accredited by Australian Computer Society (ACS)
Why choose artificial intelligence at Deakin
Deakin’s Bachelor of Artificial Intelligence equips you with the knowledge and skills to design, develop, and evolve computational solutions that harness the latest advances in artificial intelligence (AI). Get hands-on experience at a top three university in Victoria for artificial intelligence, where you will build intelligent AI-driven software solutions that go beyond software to include systems, products, and technologies shaping the future with the support of academics who are leaders in this emerging field.
As a graduate, you will be ready to thrive in this booming field, equipped with the specialist knowledge to create and operate intelligent software solutions across a wide range of industries.
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World-class Australian degree
Experience a world-class Australian education and earn a globally recognised AI degree while studying in Singapore.
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Industry-informed curriculum
The course is designed in consultation with leading global technology companies and governments, ensuring you graduate ready to work in the rapidly growing IT industry.
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Practical experience with new technology
Benefit from Deakin's leading research in IT and AI and develop practical experience with advanced technologies throughout your degree.
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Graduate work-ready with ERCI
ERCI connects students with leading global industry partners through guest speakers, industry visits and projects. Build the networks and practical knowledge you need to graduate work-ready.
Connected to industry
Deakin’s strong industry connections help shape your learning. Build practical experience in real workplace contexts through work-integrated learning, mentoring and networking opportunities. Industry advisory boards also help shape our degrees, which means what you study is current, relevant and aligned to what your future employers need.
Deakin puts employability first
Career outcomes
Graduate ready to thrive in the booming field of artificial intelligence, equipped with the technical, analytical and ethical skills to design intelligent solutions across a wide range of industries.
AI and machine learning specialist
Develop intelligent systems that learn from data to solve complex problems. You will design, train and optimise machine learning models that power products, services and technologies across a wide range of industries.
- #3
Fastest-growing job globally
- #1
Fastest-growing skills globally
Data engineer
Design, build and maintain the data platforms and pipelines that power AI systems and analytics. Data engineers create the infrastructure that enables organisations to collect, manage and use data at scale.
- Top 20
Fastest-growing jobs globally
- 36%
Global job growth by 2030
Other jobs
- Data analyst
- Data scientist
- AI engineer
- AI ethicist
- AI architect
*Deakin references data from a range of government, higher education and reputable media sources. Learn more about our achievements on our University rankings page, or explore our sources page for supporting references.
What will I study in the Bachelor of Artificial Intelligence?
This degree focuses on core computing foundations before progressing to advanced AI design and application. You will develop the technical depth and ethical awareness needed to create intelligent systems that work in the real world.
Core foundation
Programming and problem solving
Develop confidence in writing code and structuring logical solutions to complex problems. You will learn how algorithms translate ideas into working systems.
Mathematical foundations for AI
Strengthen your skills in areas such as discrete mathematics, statistics and linear algebra that support machine learning and data-driven reasoning.
Computing systems essentials
Explore how software, data and computer systems interact, giving you the technical grounding to understand how intelligent applications are built and deployed.
Choose your electives
Machine learning principles
Study how systems learn from data, including supervised and unsupervised approaches. Examine how models are trained, tested and refined.
Data and representation
Learn how information is structured, processed and interpreted so machines can recognise patterns, language and images.
Ethics and responsible AI
Consider the social and ethical implications of intelligent technologies, building the judgement needed to design fair and accountable systems.
Consolidate and graduate
Advanced intelligent systems
Work with contemporary AI techniques such as deep learning, natural language processing, large language models and optimisation to solve open-ended challenges.
Industry or project experience
Undertake a substantial project or work-integrated learning experience that reflects professional AI practice.
Professional readiness
Strengthen teamwork, communication and project management skills so you graduate industry-ready.
Course structure
To complete the Bachelor of Artificial Intelligence, you must pass 24 credit points. This includes:
- DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in their your study period
- STP010 Career Tools for Employability (0-credit-point compulsory unit)
- 17 credit points of core units
- 3 credit points of capstone units
- 1 minor (4 credit points)
- a maximum of 10 credit points at level 1
- a minimum of 6 credit points at level 3.
Most units are equal to one credit point.
As a full-time student you will study four credit points per trimester and usually undertake two trimesters per year.
All students are required to meet the University's academic progress and conduct requirements.
Are you a current student? For course information that applies to the year you started your degree, visit the handbook.
All students are required to meet the University's academic progress and conduct requirements
Units
You are required to complete 17 core units plus three credit points of capstone units (these are essential units for this degree).
In your first trimester you must also complete two 0-credit point units which are compulsory for this degree.
Year 1 - Trimester 1
Year 1 - Trimester 2
Year 1 - Trimester 3
Year 2 - Trimester 1
Plus one (1) minor unit (one (1) credit point)
Year 2 - Trimester 2
Plus one (1) minor unit (one (1) credit point)
Year 2 - Trimester 3
One (1) capstone unit (one (1) credit point):
Year 3 - Trimester 1
Plus one (1) minor unit (one (1) credit point)
Plus one (1) capstone unit (one (1) credit point):
Year 3 - Trimester 2
Plus one (1) minor unit (one (1) credit point)
Plus one (1) capstone unit (1 credit point):
^ Offered in Trimester 1, Trimester 2, Trimester 3.
+ Students must have completed STP010 Career Tools for Employability (0-credit point compulsory unit) and SIT223 Professional Practice in IT.
# Corequisite of STP010 Career Tools for Employability (0-credit point compulsory unit).
You must complete one of these minor sequences:
Refer to the details of each minor sequence for availability.
What to expect while studying
This program, delivered by Deakin University and ERC Institute is an exciting partnership between two quality institutions. It provides an opportunity for international students to experience the best of Australian teaching and learning practices while based in Singapore. This course is not available to international students studying online or onshore at campuses in Australia.
The learning experiences and assessment activities within this course require that students have access to a range of technologies beyond a desktop computer or laptop. Students will be required to purchase minor equipment, such as small single board computers, microcontrollers and sensors, which will be used within a range of units in this course. This equipment is also usable by the student beyond their studies. Equipment requirements and details of suppliers will be provided on a per-unit basis. The indicative cost of this equipment for this course is AUD$500.
For information regarding hardware and software requirements, please refer to the Bring your own device (BYOD) guidelines via the School of Information Technology website in addition to the individual unit outlines in the Handbook.
You can expect to participate in a range of teaching activities each week. This could include lectures, seminars, practicals and online interaction. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.
When can I start?
When you study depends on your course, location and available intakes. Check the table to see when you can start and how study is offered throughout the year.
This course is intended for students studying onshore in Singapore, with located learning support provided by ERC Institute.
This course is not available to domestic and international students studying online or onshore at campuses in Australia.
Your course learning outcomes describe the knowledge, skills and capabilities you’ll develop and be able to demonstrate by the time you graduate. Built into your course through your units and assessments, they provide a clear picture of what you’ll be equipped to know, understand and do – preparing you to apply your learning with confidence beyond university.
| Course Learning Outcomes |
|---|
| Develop a broad, coherent knowledge of the discipline of artificial intelligence, including deep learning and reinforcement learning, with detailed knowledge of key AI algorithms. Design, develop and implement software solutions that incorporate artificial intelligence Apply knowledge of artificial intelligence to the research and evaluation of AI solutions and provision of specialist advice. |
| Prepare different types of technical and user-oriented documentation using adequate structure, terminology and context. Convey information in a clear, concise and coherent manner using appropriate oral communication techniques and skills. Represent ideas using IT codes, conventions, modelling languages, and standards to reflect on artificial intelligence ideas and processes in an effective manner. Apply interpersonal skills to proactively assist, contribute to ideas, respect opinions and value contribution made by others when working collaboratively. |
| Identify, select and use digital technologies and tools to generate, manage and share digital resources associated with artificial intelligence concepts and solutions. Independently and systematically locate information, evaluate its reliability, and use the information for design and problem solving. Identify appropriate practices and processes to ensure the security, integrity, safety and availability of digital resources. |
| In assessing artificial intelligence scenarios, critically evaluate arguments, hypothesis, systems, and proposals to identify basic statements. In assessing artificial intelligence scenarios, locate ambiguity and vagueness in arguments, requirements, and proposals to determine if ideas are reasonable, and identify information that may be contradictory, omitted, or not collected. In assessing artificial intelligence scenarios, apply judgement in evaluating ideas, associated reasoning, and available evidence to arrive at conclusions that are valid. |
| Apply technical skills, knowledge and techniques to identify and define problems utilising artificial intelligence in a variety of contexts. Apply technical skills and knowledge in modelling methods and processes to understand problems, handle abstraction and design artificial intelligence solutions. Apply technical skills and knowledge to develop creative approaches and/or solutions in planning, designing, managing, evaluating and executing artificial intelligence projects. |
| Evaluate own knowledge and skills using frameworks of reflection and use that self-awareness to target professional goals. Recognise the need, and engage in, independent learning for continual development as a computing professional. Work under general direction, engaging in the feedback process independently to ensure outcomes are achieved. |
| Contribute knowledge and skills of artificial intelligence when working within a team, demonstrating responsibility and accountability. Engage consistently and professionally in groupware to contribute knowledge and skills of artificial intelligence to achieve shared team objectives and outcomes. Apply strategies to support positive group dynamics and to function effectively as a team member. |
| Apply professional ethics, responsibilities, and norms of professional computing practice. Demonstrate awareness of regulation and ethical implications of acquisition, use, disclosure and eventual disposal of information. Engage with societal, health, safety, legal, and cultural issues to identify consequential responsibilities relevant to artificial intelligence in practice. |
- Award granted
- Bachelor of Artificial Intelligence
- Year
2027 course information
- Deakin code
- S308E
- Australian Qualifications Framework (AQF) recognition
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 7
Fees
Please contact the ERC Institute for Bachelor of Artificial Intelligence fee information.
Scholarships
We want to help you excel at Deakin. Our scholarships recognise your dedication and achievements, providing financial support that can ease the cost of living and studying. With less pressure, you'll have more freedom to focus on what matters most – your education and future success.
Apply now
Apply through ERC Institute
Applications can be made directly to ERC Institute. For more information on the application process and closing dates, please contact ERC Institute directly by emailing enquiry@erci.edu.sg or call +65 6349 2727.
Recognition of prior learning
We value your previous study and experience. Recognition of prior learning enables you to get credit for what you've already achieved. When you apply, we'll consider your previous study and experience for recognition of prior learning.