Selection Rank (International): 95
International Baccalaureate (IB): 37
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
Decode grand challenges
Our Bachelor of Computer Science (Advanced) is a distinctive degree for highly capable students who want to tackle global questions in computer science and information technology.
The program is taught by world-class researchers and teachers within a faculty ranked 43 in the world for computer science and engineering*. It features artificial intelligence and machine learning courses not available anywhere else in South Australia.
What will you do
You will apply your skills to real-world challenges through self-directed learning and practical projects. 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.
Note: You must maintain a high grade point average to stay in this highly competitive degree.
Where could it take you
With advanced technology skills, you’ll work on solving real problems in our society. You could come up with multi-cloud solutions to tackle future security issues. You might develop a revolutionary algorithm. Perhaps you’ll program nanorobots that reverse aging or design the first unquestionably true artificial intelligence.
CRICOS: 075810A
More info: Click here
Degree Structure
Majors are available across the following areas:
Artificial Intelligence
Computer Science
Cybersecurity
Data Science
Distributed Systems and Networking
Example Study Plan
Core Courses
Students must complete the following.,
COMP SCI 1102 Object Oriented Programming
COMP SCI 1104 Grand Challenges in Computer Science
COMP SCI 1106 Introduction to Software Engineering
COMP SCI 2000 Computer Systems
COMP SCI 2008 Topics in Computer Science
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
COMP SCI 3020 Advanced Topics in Computer Science
Core Course, choice of
Students must complete one of the following., COMP SCI 3006 Software Engineering & Project or;
COMP SCI 3310 Software Engineering & Project (Artificial Intelligence) or;
COMP SCI 3311 Software Engineering & Project (Data Science) or;
COMP SCI 3312 Software Engineering & Project (Cybersecurity) or;
COMP SCI 3313 Software Engineering & Project (Distributed Systems & Networking)
Core Course, choice of
Students must complete one of the following., MATHS 1004 Mathematics for Data Science I or
MATHS 1012 Mathematics IB
Core Course, choice of
Students must complete one of the following., MATHS 3025 Professional Practice III or
ENTREP 3901 Tech eChallenge
Electives
Students must complete 9 courses from the following.,
ENG 1002 Programming (Matlab and C)
ENG 1003 Programming (Matlab and Excel)
COMP SCI 1010 Puzzle Based Learning
COMP SCI 1101 Introduction to Programming
COMP SCI 2005 Systems Programming
COMP SCI 2203 Problem Solving & Software Development
COMP SCI 2204 Advanced Programming Paradigms
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
Including a choice of 3 broadening electives from across the University.
Note: Students cannot present courses from Computer Science, Maths, Pure Mathematics, Applied Mathematics or Statistics.
Internet Consultant, Network Engineer, Computer Programmer, Computer Scientist, Computer Systems Engineer, Software Engineer, Systems Analyst, IT Manager, Information and Communications Technologist, Instrumentation Engineer, Internet - Web Programmer, Online Commerce Specialist, Software Developer, Gaming Programmer.
Overseas student health cover: $609 per year
