Master of Computer Science (MC-CS)

Overview

Entry requirements

1. In order to be considered for entry, applicants must have completed:

• an undergraduate degree with a major in Computer Science or equivalent, and a weighted average mark of at least H2A (75%); and
• at least 25 points of university level mathematics or statistics subjects.

Meeting these requirements does not guarantee selection.

1. In ranking applications, the Selection Committee will consider
   • prior academic performance.
2. The Selection Committee may seek further information to clarify any aspect of an application in accordance with the Academic Board rules on the use of selection instruments.
3. Applicants are required to satisfy the university’s English language requirements for graduate courses. For those applicants seeking to meet these requirements by one of the standard tests approved by the Academic Board, performance band 6.5 is required.

Note:

• Quotas may be applied and preference may be given to applicants with evidence of appropriate preparation or potential to undertake research.
• Entry into the Master of Computer Science is subject to the capacity of the school offering the program stream to provide adequate supervision in a research project appropriate to the interests and preparation of the individual student and may be subject to the agreement of a member of academic staff to supervise the project module.
• Some knowledge of formal logic and discrete mathematics and second year university level mathematics/statistics is recommended.

Inherent requirements (core participation requirements)

The Master of Computer Science welcomes applications from students with disabilities. It is University and degree policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student’s participation in the degree.

The Master of Computer Science requires all students to enrol in subjects where they will require:

1. The ability to comprehend complex science and technology related information;
2. The ability to clearly and independently communicate a knowledge and application of science, and technology principles and practices during assessment tasks; and
3. The ability to actively and safely contribute in clinical, laboratory, and fieldwork/excursion activities.

Students must possess behavioural and social attributes that enable them to participate in a complex learning environment, including taking part in research projects that may be part of larger projects, consisting of a team of academics, PhD students, and research fellows.

Students are required to take responsibility for their own participation and learning. They also contribute to the learning of other students in collaborative learning environments, demonstrating interpersonal skills and an understanding of the needs of other students. Assessment may include the outcomes of tasks completed in collaboration with other students. There may be additional inherent academic requirements for some subjects, and these requirements are listed within the description of the requirements for each of these subjects. Students who feel their disability will impact on meeting this requirement are encouraged to discuss this matter with the relevant Subject Coordinator and the Disability Liaison Unit: http://www.services.unimelb.edu.au/disability/

Course structure

200-point program, consisting of:

• On compulsory coursework subject (12.5 points)
• 25-37.5 points of foundation subjects
• 50-62.5 points of elective subjects
• One compulsory research project, in four parts (100 points)

Year 1

100 credit points

Compulsory subject

Foundational Computer Science subjects

At least 25 points from:

Electives

At least 50 points of any subjects from the lists below:

Advanced Computer Science

Artificial Intelligence

Cybersecurity

Human-Computer Interaction

Programming Languages and Distributed Computing

Spatial Information

Databases and Data Analysis

Year 2

100 credit points

Compulsory subjects

Students studying full-time must take parts 1 and 2 concurrently, and parts 3 and 4 concurrently.

This sequence supports both full-time and part-time study.

Last updated: 6 January 2021