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Bachelor of
Information Technology (Machine Learning)
Entry requirements
Key information
VIEWING DOMESTIC
VIEWING INTERNATIONAL
Start dates
March
July
*For students enrolling in the Tonsley offering of this course, Year 1 will be completed at the Bedford Park Campus and Years 2 and 3 will be completed at Tonsley Campus.
IELTS Overall
6.0
Speaking: 6.0
Writing: 6.0
Pearson Overall
50
CRICOS code
020067D
Duration
3 years full-time
Delivery mode
In person (on campus)
Tonsley
CIty
Start dates
March
July
Annual fee
$43,600 (2026)
About these fees
Turn big data into smart solutions
Step into one of the fastest-growing fields in tech with a degree that combines core IT foundations and cutting-edge machine learning.
At Flinders, you’ll design intelligent systems, build algorithms and analyse data that powers apps, health tech, finance and smart infrastructure.
With industry placements, professional accreditation, and global certifications, you’ll graduate job-ready to join Australia’s booming tech sector and drive the next wave of innovation.
No.1 in SA
in Computing & Information Systems for full-time employment, learner engagement, learning resources, overall educational experience and student support
The Good Universities Guide 2025 (undergraduate), public SA-founded universities only
No.6 in Australia
in Computing & Information Systems for learner engagement
The Good Universities Guide 2025 (undergraduate)
Five stars in
Computing & Information Systems
for learner engagement and student support
The Good Universities Guide 2025 (undergraduate)
Machine learning is driving tomorrow’s biggest tech jobs
Graduates are in high demand across health, defence, finance, and tech. With machine learning, you’ll be equipped for exciting careers designing AI applications, analysing data, and building intelligent systems that transform industries.
Salary
$120K
typical salary in Australia
Machine Learning Engineer
Machine learning engineers design and develop intelligent systems that learn from data and improve automatically. Their work powers technologies such as autonomous vehicles, personalised recommendations, voice recognition, and medical imaging. The role requires coding expertise, strong mathematical foundations, and the ability to optimise algorithms for real-world performance.
In Australia, machine learning engineers are highly sought after across industries including defence, finance, and health technology. The career often leads into senior roles such as AI architect, research scientist, or technical lead.
Data Scientist
Data scientists transform large datasets into actionable insights that guide critical decisions. They build predictive models, visualise complex patterns, and use machine learning techniques to solve challenges like fraud detection, climate modelling, or customer behaviour forecasting. Strong coding, statistical, and analytical skills are essential.
The role spans almost every major industry in Australia, from government agencies to private tech companies. With ongoing advances in AI, many data scientists progress into lead analyst roles, AI strategy consultants, or heads of data science teams.
Salary
$120K
typical salary in Australia
Sources: Jobs and Skills Australia, 2024 | Seek Australia, 2024
Artificial Intelligence Developer
Designs and implements AI-driven applications that solve real-world problems, from robotics to recommendation engines. Typical pathways lead to roles in software innovation, automation, and advanced AI research.
Business Intelligence Analyst
Analyses and interprets business data to help organisations improve operations and strategy. Skills in data modelling and visualisation can lead to senior analyst or consultancy roles.
Software Engineer
Develops and maintains software systems, with the potential to specialise in smart systems and intelligent applications. This role offers strong career progression into lead developer or systems architect positions.
IT Consultant
Advises businesses on adopting new technologies, including AI and machine learning solutions. Consultants often move into project management, enterprise architecture, or specialist advisory roles.
What will you study to start your career in Machine Learning?
From coding and databases to neural networks and industry placements, you’ll gain both IT foundations and advanced machine learning expertise across three years, and get hands-on experience with a 12-week professional placement.
- Year 1
- Year 2
- Year 3
Build your IT foundations and explore AI basics.
Year 1 - Core topics
Your first year might include the following topics. For exact topic information, visit the course Handbook.
In your second year, you'll advance into software, systems, and machine learning.
Year 2 - Core topics
Your second year might include the following topics. For exact topic information, visit the course Handbook.
- Full-Stack Web Development
- Data Engineering
- Data Structures and Algorithms
- Neural Networks and Machine Learning
- Systems Software
- Requirements Analysis and System Design
- Networking Fundamentals
- ICT Management and Professional Standards
In your third year, you'll study, AI, Cloud and Distributed Computing, and you'll apply your skills to real-world projects and practicum
Year 3 - Core topics
Your third year might include the following topics. For exact topic information, visit the course Handbook.
Accreditation or Professional Recognition
Our Bachelor of Information Technology degrees are accredited by the Australian Computer Society at the professional level. Professional ICT courses accredited by the Australian Computer Society are recognised internationally under the Seoul Accord. Graduates meet the academic requirements for attaining chartered status as ICT professionals.
Boost your knowledge with an Honours in Machine Learning.
SATAC: 245501
Choosing Honours allows you to extend your expertise in machine learning and information technology while developing advanced skills in research, problem-solving and project design.
You’ll build on both theoretical and practical knowledge, preparing you for specialist industry roles or further study, including a PhD.
Boost your knowledge with an Honours in Machine Learning.
Choosing Honours allows you to extend your expertise in machine learning and information technology while developing advanced skills in research, problem-solving and project design.
You’ll build on both theoretical and practical knowledge, preparing you for specialist industry roles or further study, including a PhD.
No.1 in SA
in Computing & Information Systems for full-time employment, learner engagement, learning resources, overall educational experience and student support
The Good Universities Guide 2025 (undergraduate), public SA-founded universities only
No.6 in Australia
in Computing & Information Systems for learner engagement
The Good Universities Guide 2025 (undergraduate)
Five stars in
Computing & Information Systems
for learner engagement and student support
The Good Universities Guide 2025 (undergraduate)
Flinders offers a vibrant, fun, supportive uni experience you’ll remember for a lifetime.
Need support?
From cultural, health and wellbeing services, to study and financial support, enrolment advice and more, we’re here to help.
Student clubs
Flinders University Student Association (FUSA) is the heart of the Flinders Experience. FUSA is where you’ll find out about events, club memberships and extracurricular activities.
Campus facilities
Flinders’ campuses are hubs of activity, with retail and food outlets, library spaces, study and chill spaces and more.
Learn from the experts.
Our incredible teaching and professional staff are experts in their fields and well-connected to the industry.
Dr Asara Senaratne
Meet Dr. Asara Senaratne, a trailblazer in anomaly detection and data visualisation at Flinders University! With expertise in AI and Machine Learning, she develops cutting-edge solutions for health, cyberspace, and Industry 4.0. An award-winning researcher and inspiring educator, Asara transforms complex data into valuable insights, empowering smarter decision-making in an evolving digital world
Lecturer
Dr Matthew Stephenson
Dr Matthew Stephenson is a Lecturer with the College of Science and Engineering. His research focusses on applying Artificial Intelligence, Machine Learning and Data Science techniques to games. This includes designing AI to play, create and analyse games; as well as utilising games as a testbed for developing AI-based solutions to real-world problems.
Matthew currently serves as the Data for Decisions Lead within Flinders University's Factory of the Future Transdisciplinary hub. As part of this role, he is exploring the combination of AI-powered scenario generation and real-time data analytics for smart digital twins.
Connect with industry.
Get career-ready, you will benefit from our strong connections to industry leaders that will provide you with real-world experience through our Work Integrated Learning (WIL) placements.
Gain real world experience.
With a huge range of 12 to 20-week industry placement opportunities in South Australia, Australia and overseas, Work Integrated Learning (WIL) can be in the form of internships, field education, vocational and professional practice, including projects with industry and community organisations.
Find out what it's like to study computing and information technology at Flinders. Hear from our students about applying your learning in a practical way at the Tonsley and how your studies prepare you for a career.
Concerned about your ATAR? If it doesn't meet the course requirement, or if you don't receive one, we offer alternative pathways to admission. Contact us to discuss your options—we're here to help.
- Entry requirements
- Application options
If you don’t meet our English language entry requirements and need to improve your English language proficiency, you can do so through Flinders University Academy – or our approved English Language Instruction Course for Overseas Students (ELICOS) providers.
This means that you can attend the required English language tuition at approved ELICOS providers and gain direct entry into university without an IELTS or TOEFL test.
If you don’t meet our academic entry requirements, you can still gain entry to Flinders University through Flinders University Academy. With a range of diplomas, foundation and English language courses, students can find a direct pathway into the destination degree of their choice.
How to apply
Select your course.
Check entry requirements.
Check your eligibility for credit.
Obtain certified documents.
Submit your application and documents.
Application options.
Apply online
Follow up our step-by-step guide to help you with your application to study at Flinders.
Find an agent
Our registered education agents around the world understand the university system and will guide you through the application process.
Contact us
Get in touch with our team to discuss your preferences, career options, pathways, and course and entry requirements. We are here to ensure you have everything you need to choose the right degree for you.
Don't meet academic requirements? Don't worry. We'll help you get there.
Preparatory courses
If you lack required English proficiency, improve through Flinders University Academy or approved ELICOS providers for direct university entry without IELTS/TOEFL tests.
Flinders University Academy
If you do not meet entry requirements for your desired degree, Flinders University Academy will provide you with a direct pathway into the destination degree of your choice.
Frequently asked questions.
Over the years, many questions have been asked by students before. For the quickest answers view our frequently asked questions or browse the full list @ Ask Flinders.
This degree focuses on intelligent systems and AI, not just software or networks. You’ll still get core IT skills, but with added expertise in machine learning.
Yes. In your third year, you’ll complete a 12-week industry-based practicum. This real-world experience helps you build networks and confidence before graduation.
Yes. It’s accredited by the Australian Computer Society, ensuring it meets national IT professional standards.
Graduates pursue careers as machine learning engineers, data scientists, AI developers, software engineers, and IT consultants.
Some topics include mathematics and statistics, especially for algorithms and data modelling. It is not a requirement to be able to start the course. Support and electives are available to help you succeed.
You can study in person at Flinders City Campus or Tonsley. First-year Tonsley students begin at Bedford Park before moving to Tonsley for later years.
You’ll be prepared for industry certifications including Cisco and AWS, boosting your employability.
Yes, the degree is available full-time (3 years) or part-time equivalent.
- Applications are completed via SATAC
- Visit: satac.edu.au
The table below shows ATAR and Selection Rank data for students offered a place wholly or partly on the basis of ATAR commencing in Semester 1, 2024. It is limited to applicants that have recently completed secondary education (within the last two years). Data may reflect multiple courses available within a suite of courses.
Notes:
<5 – less than 5 ATAR based offers made
N/A – This course uses additional selection criteria and therefore Selection Rank is not published
| ATAR-based offers only across all offer rounds | ATAR - Excluding adjustment factors | Selection Rank - ATAR plus any adjustment factors |
|---|---|---|
| Highest rank to receive an offer | 99.40 | 99.95 |
| Median rank to receive an offer | 73.35 | 77.78 |
| Lowest rank to receive an offer | 57.75 | 65.50 |
The table below gives an indication of the likely peer cohort for new students in this course. It provides data on students who commenced study in this course in Semester 1, 2024 including those admitted through all offer rounds and international students studying in Australia. Applicant background groupings are based on educational background, not basis of admission. Data may reflect multiple courses available within a suite of courses.
Notes:
<5 – the number of students is less than 5
N/P – Not published: the number is hidden to prevent calculation of numbers in cells with less than 5 students
| Applicant background (Semester 1, 2024) | Number of students | Percentage of all students |
|---|---|---|
| Higher education study (includes a bridging or enabling course) | 46 | 34% |
| Vocational education and training (VET) study | <5 | <5 |
| Work and life experience | 11 | 8% |
| Recent secondary education - Admitted solely on the basis of ATAR (regardless of whether this includes the consideration of adjustment factors such as equity or subject bonus points) | 37 | 28% |
| Recent secondary education - Admitted where both ATAR and additional criteria were considered (e.g. portfolio, audition, extra test) | <5 | 2 |
| Recent secondary education - Admitted on the basis of other criteria only and ATAR was not a factor (e.g. special consideration pathways) | 17 | 13% |
| International Students | 18 | 13% |
| All students | 134 | 100% |
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CRICOS Provider: 00114A TEQSA Provider ID: PRV12097 TEQSA category: Australian University