Bachelor of Computer Science (Advanced)

Entry Requirements

Successful completion of an Australian year 12 qualification with a minimum pass in an accepted English language subject.

English Language Requirements

IELTS: Overall 6.5 (Reading 6, Listening 6, Speaking 6, Writing 6); TOEFL: Internet-based: Total score of 79 with a minimum of 21 in Writing, 18 in Speaking and 13 in Reading and Listening; TOEFL Paper-based: Total score of 577 with a minimum of 4.5 in the Test of Written English (TWE); Pearsons: Overall 58 (Reading 50, Listening 50, Speaking 50, Writing 50); Cambridge: Overall 176 (Reading 169, Listening 169, Speaking 169, Writing 169).

Course Details

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.

Students commencing in July may have a slightly limited selection of courses.

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.

Career Readiness

Graduates are highly regarded by employers and have been successful in a wide variety of areas. Employment opportunities can be found in administration, business data processing, computer programming, computer science, engineering design, financial software, games programming, graphics programming, information technology management, Internet commerce, network management, quality improvement, scientific data analysis, systems analysis, software engineering, real-time process control and user interface programming.

Students in this advanced degree have many opportunities to develop and showcase their talents to future employers.

Potential careers

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

Areas of Specialisation:

Majors are available across the following areas:

Artificial Intelligence: Learn from academics within the Institute of Machine Learning, driving the fourth industrial revolution. In this major, students learn how to design, develop, and analyse software systems to perform tasks requiring human intelligence such as: self-driving cars, robotic vision, machine learning, and image recognition.

Computer Science: This major allows students to take a flexible elective program across all areas of computer science.

Cybersecurity: Build skills and awareness of the technologies, processes, and practices that protect networks, data, and software systems from unauthorised attack or access. Students learn from Learn from our work leading academics in the area of CyberSecurity including the discoverers of Spectre, one of the most significant CyberSecurity developments in the last decade.

Data Science: Data science involves the application of data analysis techniques such as machine learning and deep learning to large sets of data, helping solve problems across health, education, science, engineering, and business. The University of Adelaide leads the way in global education in Big Data and Data Science.

Distributed Systems and Networking: Build skills in the design, development, and analysis of large-scale distributed software systems including parallel, distributed, mobile, cloud-based environments and building smart cities.

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