S2004 Bachelor of Science and Bachelor of Computer Science

Double degree courses include the features of the component degree courses, except that electives may be reduced.

Science

S2000 Bachelor of Science is a comprehensive course and it will provide you with a broad, general science education, as well as specialist training in one or more science disciplines.

Part A. Science specified study

This will provide you with the mathematical or statistical foundation for your study of science. It will also expose you to different science disciplines contributing breadth to your understanding of science and giving you the opportunity to learn about several disciplines before finalising your choice of major.

Part B. Science listed major

This will provide you with a focused program of study that will develop your expertise in one discipline area. You will learn to develop, apply and communicate an advanced level of understanding of the concepts and theoretical frameworks that constitute the knowledge base of the discipline.

Computer science

C2001 Bachelor of Computer Science course is a specialist course that develops through the themes of computer science foundation study, professional skills study, specialist discipline knowledge, problem solving and analytic skills study, and professional skills study which come together in applied practice.

Part A. Computer science foundation study

This study will develop your understanding of the role and theoretical basis of computer science and computational methods.

Part B. Professional skills study

This study develops professional skills by providing an understanding and appreciation of the ethical and professional guidelines applicable to computer science, developing the ability to work as an effective team member, developing the ability to communicate proficiently and appropriately for professional practice, and developing formal project management skills.

Part C. Specialist discipline knowledge

This study will develop your in-depth knowledge of the specific computer science methods of your specialised field within computer science.

Part D. Problem solving and analytical skills study

This study will develop your ability to apply appropriate methodologies in computer science and develop efficient computational solutions. It develops strong problem solving skills and the ability to apply analytical thinking.

Part E. Applied practice

The above knowledge and skills are integrated and consolidated in applied practice as demonstrated in a computer or data science project, and in some cases in an industry-based learning placement.

Course requirements

You must complete 192 points, of which 96 points are from the Bachelor of Science (including all of the requirements in Part A and Part B for the single degree) and 96 points from the Bachelor of Computer Science (including all of the requirements in Parts A, B, C, D and E for the single degree).

Course progression map

The course progression map provides guidance on unit enrolment for each semester of study.

You must complete 192 points, of which 96 points are from the Bachelor of Science (including all of the requirements in Part A and Part B for the single degree) and 96 points from the Bachelor of Computer Science (including all of the requirements in Parts A, B, C, D and E for the single degree).

Units are 6 points unless otherwise stated.