Successful completion of an Australian bachelor degree (or equivalent).
IELTS (Academic): overall score of 6.5 with no band less than 6.0.
TOEFL Paper based: overall score of 550 with 5 or better in TWE (Test of Written English).
TOEFL Internet based (iBT): overall score of 79 with 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing.
La Trobe College Australia ELICOS (LTCA): completion of EFS level 5B with minimum 60% overall and 60% in final exam.
La Trobe College Australia Foundation Studies (LTCA): completion of Foundation studies with 60% in English (Academic Communication).
Pearson Test of English (Academic) (PTE): overall score of 58 with no communicative skill score less than 50.
Cambridge Certificate of Advanced English (CAE): 176 with no less than 169 in any component.
Artificial intelligence (AI) is one of the most powerful forces behind digital disruption and AI skills are highly sought-after in a huge range of industries.
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.
CRICOS code: 0100864
More info: Click here
Study options
Core subjects
Core subjects are required subjects in your course. You need to complete these subjects to attain your degree.
Year 1
academic integrity module
artificial intelligence fundamentals
database fundamentals
information technology fundamentals
introduction to programming
machine learning
probability and statistics for data science
Year 2
deep learning
professional practices and entrepreneurship in information technology
project management
Elective subjects
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.
Specialisations
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
Specialisations
Intelligent systems and robotics
Interactive media and computer vision
Natural language processing
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.
OSHC: 530 ($) AUD per year
