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Entry requirements and pathways
International students
Academic entry requirement
Prerequisites
Successful completion of an Australian bachelor degree (or equivalent).
Note: Meeting minimum prerequisites does not guarantee an offer of a place. Entry into all La Trobe courses is based on competitive selection and there may be limited places available.
English language requirement
Offshore applicants are considered for admission based on the stated course entry requirements. IELTS may be considered.
Please refer to our English Language Requirements page for details of other accepted English Proficiency tests and additional recognised English Language Proficiency Measures, such as English as the language of instruction.
Credit for previous study (advanced standing)
Credit for previous study (advanced standing) is the recognition of prior study or learning that can be counted towards a qualification. This can reduce the number of subjects required to complete your course. The amount of credit received depends on the level and relevance of your previous study and the number of subjects completed.
The University will designate courses where there is only admission into Year 1 of the course. In these cases, there is limited credit. See list of limited entry courses.
To check if this course is available for credit, please visit the Advanced standing webpage.
Questions about the course?
Check when course applications close and find out how to apply directly.
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What you'll study
Sample course structure
Please note, the following course structure is indicative and subject to change depending on your course location, offer year or how you tailor your course with specialisations, majors, minors and electives. Structures for the following year are not normally finalised until October, so the sample provided is based on the most recently approved structure. For more information, please refer to the La Trobe University Handbook.
To qualify for the award of Master of Artificial Intelligence, students must complete a total of 240 credit points across 2 years.
Year 1 requires the completion of 120 credit points including:
- 90 credit points from chosen Core
- 15 credit points from chosen Specialisation
- 15 credit points from chosen Electives
Year 2 requires the completion of 120 credit points including:
- 45 credit points from chosen Core
- 30 credit points from chosen Core choice - Pathway
- 45 credit points from chosen Specialisation
Study options
Core subjects are required subjects in your course. You need to complete these subjects to attain your degree.
| Subject name | Subject code | Year | Credit points |
|---|---|---|---|
| ACADEMIC INTEGRITY MODULE | LTU0AIM | 1 | 0 |
| ARTIFICIAL INTELLIGENCE FUNDAMENTALS | CSE4002 | 1 | 15 |
| DATABASE FUNDAMENTALS | CSE4DBF | 1 | 15 |
| INFORMATION TECHNOLOGY FUNDAMENTALS | CSE4IFU | 1 | 15 |
| INTRODUCTION TO PROGRAMMING | CSE4IP | 1 | 15 |
| MACHINE LEARNING | CSE5ML | 1 | 15 |
| PROBABILITY AND STATISTICS FOR DATA SCIENCE | STM4PSD | 1 | 15 |
| DEEP LEARNING | CSE5DL | 2 | 15 |
| PROFESSIONAL PRACTICES AND ENTREPRENEURSHIP IN INFORMATION TECHNOLOGY | CSE5003 | 2 | 15 |
| PROJECT MANAGEMENT | CSE5PM | 2 | 15 |
A range of standalone elective subjects is available in this course. Some electives are recommended for your course, but you may also be able to choose from a range of University-wide electives or electives from other interest areas or disciplines. Note these electives may have their own prerequisites and other requirements. Please refer to the La Trobe University Handbook for the subjects available.
Core choice subjects are one or more subject groups you need to select in your course. Core choice subjects may be specific to your course, major, minor, specialisation or other learning requirements.
Students to select one learning pathway from the list below.
Pathway
- Project
- Industry based learning
- Thesis
For more information on these please refer to the La Trobe University Handbook.
A specialisation is a sequence of related subjects studied in your course. In some courses, you need to complete at least one specialisation to attain your degree.
Students to select one specialisation
| Course specialisations | Specialisation code |
|---|---|
| Natural language processing | SPE-NLP01 |
For more information on these please refer to the La Trobe University Handbook.
Work-Based Learning
Elective placement opportunities (Work Based Learning)
During this course, you will have the opportunity to participate in a Work Based Learning (WBL) placement experience, designed to allow you to extend your formal academic learning beyond the classroom. The WBL experience will provide the opportunity to bring your learning from the university into a work environment and test out your knowledge in a professional real-world environment. Some courses include compulsory WBL subjects, however, we also offer a range of elective WBL subjects, both cross-discipline and subject-specific. La Trobe University will source placements for some subjects, while others will require you to source your own placement. If you are required to source your own placement, dedicated staff will guide and support you through the process. Elective WBL subjects generally involve an application process and Subject Coordinator approval. The location and number of hours undertaken can vary considerably depending on the activity and the discipline area. Please refer to the individual subject entries for more information.
See La Trobe University Handbook for more details
The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options. The delivery of this course can vary between campuses.
View course information for Online
Questions about the course?
Check when course applications close and find out how to apply directly.
Call (+61 3) 6145 0033
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Submit a question online. We'll get back to you within the next business day.
Master of Artificial Intelligence course and career outcomes
However you choose to structure your study, La Trobe recognises your hard work. Here are the pathways you could follow as you move through your course.
Course intended learning outcomes
- Apply advanced understanding of fundamental issues and techniques in information technology to a specialised area in artificial intelligence.
- Critically evaluate and design solutions to technical problems in artificial intelligence.
- Synthesise and test theories in IT using research and technical skills.
- Apply professional communication skills to articulate complex artificial intelligence issues to diverse audiences.
- Integrate IT principles and research to develop and justify artificial intelligence solutions to complex problems in a specialist area.
- Apply awareness of contemporary social and ethical issues to professional decision-making in artificial intelligence and computer science.
Master of Artificial Intelligence career opportunities
Digital disruption is producing strong demand for AI professionals in healthcare, manufacturing, agriculture, automotive and more. Graduates can pursue a range of career opportunities, including:
- Artificial intelligence architect
- Identify how AI technology can be applied successfully in business settings.
- Software engineer
- Use engineering principles and computer language to design, develop and maintain software systems.
- Data scientist
- Work with computer hardware systems and networks to optimise performance.
Professional recognition
The Master of Artificial Intelligence is accredited by the Australian Computer Society (ACS). Graduates of the Master of Artificial Intelligence may apply for membership with the ACS. Membership may be subject to additional or ongoing requirements beyond completion of the degree. Please contact the relevant professional body for details.
Questions about the course?
Check when course applications close and find out how to apply directly.
Call (+61 3) 6145 0033
Ask a question
Submit a question online. We'll get back to you within the next business day.
Fees and scholarships
Estimated course fees for international students
Estimated fees per year (2024):
Indicative based on 2023 fees
A$31 600 per 120 credit points.
Note: 120 credit points represents full-time study for one year.
Scholarships:
The International estimated fees are indicative only. The tuition fees you pay will depend on the subjects you choose to study, with each subject having its own cost. In some cases, your course fees may be higher than the indicated fees because of the subjects you choose.
International scholarships
Destination Australia – an Australian Government initiative
The Destination Australia scheme supports new international students to study in regional Australia and offers students a high-quality learning experience. For eligible applicants, these scholarships are worth up to A$15 000 per annum for up to four years.
Find out more about Destination Australia scholarships.
If you're a La Trobe graduate, you may be eligible for a 10 per cent fee reduction when you apply for a full-fee postgraduate coursework program. See our Alumni Advantage page for further details.
International students applying for an undergraduate or postgraduate course to study at La Trobe University can be rewarded a bonus grant for completing their admission process early. Recipients will automatically be eligible to receive an Early Bird Acceptance Grant of 5% of the first-year tuition fees.
If you’re a high-achieving international student from either Vietnam, Cambodia or the Philippines and are considering full-time undergraduate or postgraduate study, you can apply to receive a 50 - 100 per cent tuition fees scholarship for the duration of your studies from 2024.
Do you have an excellent academic record? La Trobe High Achiever Scholarships are awarded to high-achieving international students and provide up to a 25 per cent reduction in course fees for selected courses.
Note: You must first have an offer to study at La Trobe before you are eligible to apply for a La Trobe scholarship.
Questions about fees and scholarships?
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Call (+61 3) 6145 0033
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Submit a question online. We'll get back to you within the next business day.
How to apply
Apply now or ask us a question if you need more help. You can also call us on +61 3 9627 4805.
Note: Some courses start earlier than the standard semester, term or study period. Applications for these courses close one week prior. Always check your course’s start date to ensure your application is submitted in time.
CRICOS code:
Ready to apply?
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Call (+61 3) 6145 0033
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Overview
Key facts
| Award | Master of Artificial Intelligence |
|---|---|
| Start dates |
Indicative based on 2023 start dates LTU Term 2 (March 2024), LTU Term 3 (April 2024), LTU Term 4 (July 2024), LTU Term 5 (September 2024) |
| Duration | 2 years full-time |
| Available locations | Melbourne (Bundoora), Online |
| Scholarships | View fees and scholarships |
| Specialisations | |
| Annual tuition fee |
Indicative based on 2023 fees A$31 600 per 120 credit points.Note: 120 credit points represents full-time study for one year. |
About the Master of Artificial Intelligence
Kickstart your career in this exciting field with La Trobe's Master of Artificial Intelligence.
In this degree, you'll learn to harness key AI technologies and applications that are sparking innovation in a range of industries. You'll graduate with the technical capabilities to drive change and improve business outcomes across digital healthcare, smart manufacturing, smart cities, sustainable energy infrastructure, precision agriculture and more.
Choose a specialisation in a key technical area of AI – interactive media and computer vision, intelligent systems and robotics, or natural language processing. You'll benefit from the first-hand knowledge and experience of your teachers, many of whom are world-renowned researchers.
Let your curiosity lead you. You'll study exciting subjects in machine learning, artificial intelligence in bioinformatics, image processing and virtual reality. You'll graduate with both a well-rounded foundation in AI and complementary cross-disciplinary skills – an attractive combination for potential employers.
Hands-on experience is a key part of this degree. Use your AI skills to solve real-world problems when you take on an industry-based project. Previous students have worked with Microsoft, Optus, 4pi Lab, Aerion, Quantum Victoria, Nanjing University of Information Science and Technology, Pivot Maritime International and Axicor.
Two early exit points mean that every stage of your degree equips you for your future career. Exit after six months with a Graduate Certificate in Information Technology Fundamentals or exit after one year with a Graduate Diploma in Artificial Intelligence.
You'll learn:
- Problem solving with AI
- Discover to use research skills and deep learning algorithms to develop AI-based solutions to real-world problems.
- Improving human and computer communication
- Develop natural language processing (NLP) processing pipelines using code libraries to boost communication output.
- Design, research and investigation
- Learn how to address design issues using machine learning models, algorithms and computer vision tasks.
- Deep learning techniques and AI
- Explore deep learning techniques and how they can aid AI functions such as image recognition, machine translation and speech synthesis.
- Social and ethical impact of AI
- Gain an understanding of the moral and societal issues faced by today's IT industry and the impact of how AI technology is used.
The qualification awarded on graduation is recognised in the Australian Qualifications Framework (AQF) as Level 9 - Masters Degree.
Have questions?
Check when course applications close and find out how to apply directly.
Call (+61 3) 6145 0033
Ask a question
Submit a question online. We'll get back to you within the next business day.
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