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.
Overall IELTS score of 6.0 with no band less than 6.0 (or equivalent).
Deakin’s Bachelor of Computer Science equips you with the knowledge and practical skills needed to design and develop innovative software solutions to the multifaceted information and technology problems faced by our community, business and industry. Learn what it takes to create and integrate complex new computing technologies while exploring existing and emerging challenges in areas such as data analytics, machine learning, robotics, intelligent and autonomous systems, and telecommunications.
Computer scientists are problem solvers and innovators and at Deakin, you will get a competitive edge in the job market through hands-on experience with current technologies and training in fundamental concepts, models and methods. Extend your skills through a work placement and develop valuable professional networks. Professional accreditation by the Australian Computer Society (ACS) means your degree will be recognised around the world.
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Level 1 - Trimester 1
IT Placement ^#
Industry Based Learning
Team Project (B) - Execution and Delivery ^ ~
Concurrent and Distributed Programming
Team Project (A) - Project Management and Practices ^ ~
Data Mining and Machine Learning
Secure Networking
Advanced Algorithms
Professional Practice in Information Technology #
System Design and Prototyping
Embedded Systems Development
Data Structures and Algorithms
Artificial and Computational Intelligence
Object-Oriented Development
Data and Information Management
Data Capture Technologies
Academic Integrity (0 credit points)
Safety Induction Program (0 credit points)
Career Tools for Employability (0 credit points)
Computer Systems
Discrete Mathematics
Data Science Concepts
Introduction to Programming
^ Offered in Trimester 1, trimester 2 and trimester 3
# 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.
Plus one elective unit (one credit point)
Plus one unit in:
Plus two elective units (two credit points)
Level 3 - Trimester 2
Level 3 - Trimester 1
Plus one elective unit (one credit point)
Level 2 - Trimester 2
Plus one elective unit (one credit point)
Level 2 - Trimester 1
Level 1 - Trimester 2
You’ll be ready for employment in organisations engaged in:
artificial intelligence and machine learning
robotics application development
technology innovation.
You’ll graduate with career options such as:
innovation lead
data scientist
software developer
database specialist
technology consultant
software analyst
solutions architect
project manager.
As a computer science graduate, you’ll enter one of the most exciting and dynamic industries, with opportunities in areas such as:
cognitive computing and intelligent systems
robotics and autonomous systems
emerging technologies.
As your experience develops, you will also be well prepared to progress into project management positions.
OSHC: 530 ($) AUD per year
