Selection Rank (International): 70
International Baccalaureate (IB): 24
Prerequisites
International Qualifications: Mathematics
IELTS: Overall 6.5, Reading 6, Listening 6, Speaking 6, Writing 6
TOEFL: Overall 79, Reading 13, Listening 13, Speaking 18, Writing 21
Pearson: Overall 58, Reading 50, Listening 50, Speaking 50, Writing 50
C1 Advanced: Overall 176, Reading 169, Listening 169, Speaking 169, Writing 169
Program the future
Ready to take your place in the technology revolution?
Our Bachelor of Computer Science features artificial intelligence and machine learning courses not available anywhere else in South Australia. It’s taught by world-class researchers and teachers within a faculty ranked 43 in the world for computer science and engineering*.
What will you do
Depending on your chosen major, you will:
explore self-driving cars, robotic vision, machine learning and image recognition
learn how to protect networks, data and software systems from attack and unlawful access
apply cutting-edge data analysis techniques—such as machine and deep learning—to large sets of data
design, make and study large-scale distributed software systems, including parallel, mobile and cloud-based environments.
Majors are available in:
Artificial intelligence
Computer science
Cybersecurity
Data science
Distributed systems and networking.
You can also choose a flexible program with a little bit of everything, from gaming and graphics to computer vision and software engineering.
Where could it take you
No matter how technology transforms the jobs market, computer science skills will be crucial. You could design robots or collective virtual reality spaces. You might work at Google as a software engineer. Perhaps you’ll legally break into systems as a white hat hacker to test their security.
CRICOS: 023413M
More info: Click here
Degree Structure
Areas of Specialisation
Artificial intelligence
Computer science
Cybersecurity
Data science
Distributed systems and networking.
Example Study Plan
To qualify for the degree of Bachelor of Computer Science the student must satisfactorily complete a program of study consisting of the following courses with a combined total of no less than 72 units. This includes the core courses below as well as other broadening electives.
Core courses
Students must complete all of the following.,
COMP SCI 1102 Object Oriented Programming
COMP SCI 1106 Introduction to Software Engineering
COMP SCI 2000 Computer Systems
COMP SCI 2103 Algorithm Design & Data Structures
COMP SCI 2201 Algorithm & Data Structure Analysis
COMP SCI 2207 Web & Database Computing
COMP SCI 3004 Operating Systems
Choice of approved Mathematics courses
Students must choose one of the following.,
MATHS 1004 Mathematics for Data Science I or;
MATHS 1012 Mathematics IB
Choice of approved Professional courses
Students must choose one of the following.
MATHS 3025 Professional Practice III or;
ENTREP 3901 Tech eChallenge
Choice of project
Students must choose one of the following.
COMP SCI 3006 Software Engineering & Project
COMP SCI 3310 Software Engineering & Project (Artificial Intelligence)
COMP SCI 3311 Software Engineering & Project (Data Science)
COMP SCI 3312 Software Engineering & Project (Cybersecurity)
COMP SCI 3313 Software Engineering & Project (Distributed Systems & Networking)
Electives
Students must complete 13 courses from the following.,
Level I Electives from any discipline (12 units)
Level II Electives from any discipline (6 units)
Level III Electives from any discipline (3 units)
Level I, II or III Electives from any discipline (9 units)
Level III Computer Science Electives (12 units)
Electives must include broadening electives to the value of 9 units from course areas other than Computer Science, Maths, Pure Mathematics, Applied Mathematics or Statistics.
Computer Science Electives:
COMP SCI 3001 Computer Networks & Applications
COMP SCI 3005 Computer Architecture
COMP SCI 3007 Artificial Intelligence
COMP SCI 3012 Distributed Systems
COMP SCI 3013 Event Driven Computing
COMP SCI 3014 Computer Graphics
COMP SCI 3305 Parallel and Distributed Computing
COMP SCI 3306 Mining Big Data
COMP SCI 3307 Secure Programming
COMP SCI 3308 Cybersecurity Fundamentals
COMP SCI 3309 Cybersecurity A Practical Application
COMP SCI 3314 Introduction to Statistical Machine Learning
COMP SCI 3315 Computer Vision
COMP SCI 3316 Evolutionary Computation
Online Commerce Specialist, Information and Communications Technologist, Network Engineer, Computer Programmer, Software Engineer, Software Developer, Gaming Programmer, Computer Scientist, Computer Systems Engineer, Instrumentation Engineer, Internet - Web Programmer, IT Manager, Systems Analyst
Overseas student health cover: $609 per year