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.
Overall IELTS score of 6.0 with no band less than 6.0 (or equivalent).
Deakin’s Bachelor of Artificial Intelligence equips you with the knowledge and skills to design, develop and evolve software 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 classrooms, ensuring what you learn is at the cutting edge of industry expectations and capabilities.
You will have access to state-of-the-art facilities and fully equipped computer labs, with the latest software and technologies to ensure you graduate with the specialist knowledge to design and build the intelligent machines and software of our future.
To further enhance your industry readiness, a minimum of 100 hours of professional experience will allow you to work side-by-side with experienced AI specialists.
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Year 1 - Trimester 1
Academic Integrity (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 Artificial Intelligence
Year 1 - Trimester 2
Object-Oriented Development
Data and Information Management
Secure Networking
Introduction to Mathematical Modelling
Year 2 - Trimester 1
Data Structures and Algorithms
Artificial and Computational Intelligence
Plus two elective units (two credit points)
Year 2 - Trimester 2
Concurrent and Distributed Programming
Professional Practice in Information Technology #
Linear Algebra for Data Analysis
Plus one elective unit (one credit point)
Year 3 - Trimester 1
Team Project (A) - Project Management and Practices ~
Data Mining and Machine Learning
Advanced Topics in Artificial Intelligence ^
Plus one elective unit (one credit point)
Year 3 - Trimester 2
Team Project (B) - Execution and Delivery
Optimisation and Constraint Programming
Software Architecture and Scalability for Internet-Of-Things
Plus
IT Placement #
OR
Industry Based Learning #
^ available from 2022
# Must have completed STP010 Introduction to Work Placements (0-credit point unit)
~Note: Students are recommended to undertake SIT374 and SIT378 in consecutive trimesters. Students should seek advice from the unit chair if they are unable to complete SIT374 and SIT378 consecutively
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 have the specialist knowledge and be equipped 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 scientist, data analyst, AI technology software engineer, AI ethicist or an AI architect to name a few.
OSHC: 530 ($) AUD per year
