MCS Master of Computer Science - Flinders University

Overview

The Master of Computer Science provides education in both the theoretical paradigms and practical skills required to design and implement computer-based systems. It enable computing graduates to extend their skills in a number of areas and prepares students for either higher degree study or advanced employment in the Australian and … For more content click the Read More button below.

The Master of Computer Science provides education in both the theoretical paradigms and practical skills required to design and implement computer-based systems. It enable computing graduates to extend their skills in a number of areas and prepares students for either higher degree study or advanced employment in the Australian and international information technology industry and public service sectors.

Course offerings

Flinders City Campus

Courses / qualifications may not be offered in all locations and modes each year. For more information on Mode of Delivery, visit Mode definitions

Student guidance

Study planner

Program of study overview

Program of study notes

This Program of Study serves as a suggested study plan. When core topics are offered in both halves of the year, students may enrol in these topics in either half of the year as long as requisites are met.
With the permission of the Course Coordinator, up to 9 units may be substituted with appropriate topics in Mathematics, Neuroscience, Cognitive Science, Human Factors or Digital Media or by alternative appropriate topics in Computer Science as long as prerequisites are satisfied. Such topics must be level 7000 or above.

Program of study
72 Units

Year 136 Units

Core36 Units

First half18 Units

Second half18 Units

Year 236 Units

Stream36 Units

Select one of the following Streams:

Stream - Coursework36 Units

Core27 Units

First Half18 Units

Second Half9 Units

Option9 Units

Stream - Coursework with Research Component36 Units

Core31.5 Units

First Half18 Units

Second Half13.5 Units

Option4.5 Units

Admission requirements

Admission requirements

Applicants must normally hold a degree or equivalent qualification from an approved tertiary institution in computer science, information technology, ICT-based engineering or a closely related discipline; or the Graduate Diploma in Computer Science.

However, the Dean (Education) may, under certain circumstances and subject to specific conditions, admit others who can show evidence of fitness for candidature.

Assumed knowledge

English Language requirements

Aims

The course has been designed with industry input to prepare students to become computing professionals able to:

Evaluate computational and data related problems from both a theoretical and practical perspective
Adapt a range of different algorithms to develop solutions to complex computational problems using the most appropriate programming paradigm
Manage the development of solutions, and communicate effectively with experts across the computing discipline including computer hardware, systems software and end-user application development
Work effectively both as an individual, as part of a team and as a technical manager of a team
Exhibit a strong, practical understanding of professional and ethical responsibilities

Learning outcomes

On completion of the course you will be able to:

Analyse complex abstract problems from a real-world setting, creating appropriate computational solutions

Formalise and verify algorithms for correctness and performance with respect to a variety of metrics

Implement programs in various programming languages and paradigms

Understand the research directions of the computer science discipline and build on that research to complete research problems

Understand and analyse human factors and apply ethical and professional practices

Work collaboratively in a team and communicate effectively in a variety of contexts

Student progression rules

Students must have achieved a GPA of at least 5 in 36 units of Year 1 topics to be able to undertake the Coursework with Research Component Stream in Year 2.

Professional accreditation and recognition

Professional accreditation

Associations

Course/Course specialisation association

Nested association