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Bachelor of Artificial Intelligence - ERC Institute

Undergraduate degree

Gain the skills necessary to design, develop, and evolve software solutions that takes advantage of the latest advances in artificial intelligence.

This course is only available for international students.

Key facts

Duration

3 years full-time

Locations

ERC Institute, Singapore.

Current Deakin Students

To access your official course details for the year you started your degree, please visit the handbook

Course overview

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 developing AI-driven software solutions with the support of academics who are leaders in this emerging field. Our world-class research in AI feeds directly into our curriculum, ensuring what you learn is at the cutting edge of industry expectations and capabilities.

You will have access to fully equipped computer labs with state-of-the-art software and technologies, ensuring you graduate with the specialist skills to design and build the intelligent systems of the future.

Want the skills to build intelligent machines and software that power our future?

AI is driving digital disruption, with new technology redefining many industries. Businesses are looking to take advantage of recent advances in AI, creating a large demand for skilled professionals.

AI offers you an exciting future, as a growing number of industries are spending time and money improving what they do through learned behaviour and operating efficiencies. This is just the beginning; many more challenging, real-world problems remain to be solved.

The rise of intelligent systems such as self-driving cars and smart digital assistants has created a high demand for skilled AI professionals to develop and implement them. The number of jobs emerging in the AI space is increasing each year and will enable productivity increases for most industries across the globe.

As an artificial intelligence specialist, you will work alongside software engineers, data scientists, application developers and business analysts, applying your expert knowledge to ensure AI is appropriately integrated into software solutions.

As a graduate, you will be well-equipped to work on the design, development and operation of AI-driven software solutions and will work alongside software engineers, data scientists, application developers and business analysts, to ensure AI is appropriately integrated into software solutions.

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Core

Year 1 - Trimester 1

  • Academic Integrity and Respect at Deakin (0 credit points)
  • Safety Induction Program (0 credit points)
  • Career Tools for Employability (0 credit points)
  • Introduction to Programming
  • Discrete Mathematics
  • Computer Systems
  • Introduction to Data Science and Artificial Intelligence

Year 1 - Trimester 2

  • Object-Oriented Development
  • Computer Networks and Communication
  • Introduction to Mathematical Modelling

Year 1 - Trimester 3


Year 2 - Trimester 1

  • Data Structures and Algorithms
  • Computational Intelligence
  • Data Wrangling

Plus one (1) minor unit (one (1) credit point)

Year 2 - Trimester 2

  • Machine Learning
  • Professional Practice in Information Technology #
  • Linear Algebra for Data Analysis

Plus one (1) minor unit (one (1) credit point)

Year 2 - Trimester 3

One (1) capstone unit (one (1) credit point):

  • IT Placements and Industry Experience ^+

Year 3 - Trimester 1

  • Natural Language Processing

Plus one (1) minor unit (one (1) credit point)

Plus one (1) capstone unit (one (1) credit point):

  • Team Project (A) - Project Management and Practices ^~

Year 3 - Trimester 2

  • Deep Learning
  • Robotics, Computer Vision and Speech Processing

Plus one (1) minor unit (one (1) credit point)

Plus one (1) capstone unit (1 credit point):

  • Team Project (B) - Execution and Delivery ^

^ 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).

Minor sequences

Refer to the details of each minor sequence for availability.

Intakes by location

The availability of a course varies across locations and intakes. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Check each intake for up-to-date information on when and where you can commence your studies.

New course from Trimester 1, 2025. 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.

Course location

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.

Equipment requirements

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.

Workload

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.

Entry requirements

Selection is based on a holistic consideration of your academic merit, work experience, likelihood of success, availability of places, participation requirements, regulatory requirements, and individual circumstances. You will need to meet the minimum academic and English language proficiency requirements to be considered for selection, but this does not guarantee admission.

A combination of qualifications and experience may be deemed equivalent to minimum academic requirements.

If you don't meet the academic entry requirements as outlined in the tabs below, or haven't completed Year 12, or don't hold any relevant qualifications, the STAT (Skills for Tertiary Admissions Test) Multiple Choice (MC) may be an option for you to meet course entry requirements.

Academic requirements

Current or recent secondary education

If you're currently studying Year 12, or completed Year 12 in the last two years, you will need to meet all the following criteria to be considered for admission to this degree:

Year 12 prerequisite subjects

  • Units 3 and 4: a study score of at least 25 in English EAL (English as an Additional Language) or at least 20 in English other than EAL
  • Units 3 and 4: a study score of at least 20 in one of Maths: Mathematical Methods or Maths: Specialist Mathematics or Maths: General Mathematics

ATAR

  • Senior Secondary Certificate of Education with an unadjusted ATAR of at least 50 or equivalent

Higher education

If you have undertaken higher education studies after secondary schooling, you will need to meet all the following criteria to be considered for admission to this degree:

  • successful completion of at least two bachelor level or above units (AQF Level 7 or equivalent)
  • evidence of mathematical ability (equivalent to that of the Year 12 maths prerequisite)

Vocational education

If you have undertaken any Vocational Education and Training (VET) study after secondary school, you will need to meet at least one of following criteria to be considered for admission to this degree:

  • completion of a certificate IV or higher in a related discipline
  • completion of a diploma or higher in any discipline
  • at least 50% completion of a diploma or higher in a related discipline

Work and life experience

If you finished Year 12 more than three years ago, or did not finish Year 12, and haven't undertaken any further study, you may be considered for admission to this degree based on your work, volunteer and/or life experience.

Submit a personal statement outlining your motivation to study, previous education and employment history, and how this course can assist your career aspirations or progression. Think of it as a job application cover letter - it should be relevant and demonstrate your commitment and interest in this course or study area.

You will also require evidence of mathematical ability (equivalent to that of the Year 12 maths prerequisite).

Recognition of prior learning

If you have completed previous studies which you believe may reduce the number of units you have to complete at Deakin, indicate in the appropriate section on your application that you wish to be considered for Recognition of Prior Learning. You will need to provide a certified copy of your previous course details so your credit can be determined. If you are eligible, your offer letter will then contain information about your Recognition of Prior Learning.

Please note, depending on RPL granted, some units may not be available until 2026.  Please seek course advice.

Fees and scholarships

Fee information

Please contact the ERC Institute for Bachelor of Artificial Intelligence fee information.

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.

Need more information on how to apply?

For information on the application process, including required documents and important dates, visit the How to apply webpage.
If you need assistance, please contact us.

Careers

Career outcomes

AI offers an exciting future for students as more industries invest in improving what they do through learned behaviour and operating efficiencies. However, this is the tip of the iceberg and many more challenging real-world problems remain to be solved.

Graduates will be equipped with the specialist knowledge to work on the design, development and operation of software solutions involving AI, across a broad range of industry sectors. You may find employment in roles such as a data engineer/scientist, data analyst, AI technology engineer, AI ethicist or an AI architect to name a few.