Graduate Diploma in Computer Science (GD-CS)
Graduate DiplomaYear: 2022 Delivered: On Campus (Parkville)
Overview
Award title | Graduate Diploma in Computer Science |
---|---|
Year & campus | 2022 — Parkville |
CRICOS code | 099421E |
Fees information | Subject EFTSL, level, discipline and census date |
Study level & type | Graduate Coursework |
AQF level | 8 |
Credit points | 100 credit points |
Duration | 12 months full-time or 24 months part-time |
The Graduate Diploma in Computer Science provides students with an undergraduate degree and some programming and maths background the equivalent of a major in Computer Science and thereby acts as a direct pathway to the Master of Computer Science program.
The Graduate Diploma in Computer Science will provide students with considerable technical expertise in computer science, including exposure to a variety of programming paradigms, an understanding of the systematic processes underpinning the software development lifecycle, and an appreciation of advanced topics in computing.
Entry requirements
1. In order to be considered for entry, applicants must have completed:
- an undergraduate degree in any discipline with a weighted average mark of at least H3 (65%), or equivalent and
- at least 25 points of level 1 or above Computer Science subjects, or equivalent; and
- at least 25 points of level 1 or above mathematics or statistics subjects, or equivalent.
Meeting these requirements does not guarantee selection.
2. In ranking applications, the Selection Committee will consider:
- prior academic performance.
3. 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.
4. 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.
Inherent requirements (core participation requirements)
The Graduate Diploma in 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 Graduate Diploma in Computer Science requires all students to enrol in subjects where they will require:
- The ability to comprehend complex science and technology related information;
- The ability to clearly and independently communicate a knowledge and application of science, and technology principles and practices during assessment tasks;
- 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. 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/
Intended learning outcomes
On completion of this course, students should be able to:
- Demonstrate an independent approach to knowledge that uses rigorous methods of inquiry and appropriate theories and methodologies that are applied with intellectual honesty and a respect for ethical values;
- Apply critical and analytical skills and methods to the identification and resolution of problems;
- Act as informed and critically discriminating participants within the community of scholars, as citizens and in the work force;
- Communicate effectively;
- Commit to continuous learning;
- Be proficient in the use of appropriate modern technologies, such as the computer and other information technology systems, for the acquisition, processing and interpretation of data.
Generic skills
- An ability to apply knowledge of basic science and engineering fundamentals
- An ability to undertake problem identification, formulation and solution to new and unfamiliar tasks, including the collection and evaluation of large amounts of real-world data
- The ability to work effectively as a member of a project team, develop high-level written report and/or oral presentation skills, and to interrogate, synthesise and interpret the published literature
- The capacity for critical and independent thought, reflection and judgement, rational inquiry, and self-directed learning
- Capacity for creativity and innovation
- A profound respect for truth and intellectual integrity, and for the ethics of scholarship
- A capacity to undertake lifelong learning
Graduate attributes
The Melbourne Experience enables our graduates to become:
- Academically excellent
- Knowledgeable across disciplines
- Leaders in communities
- Attuned to cultural diversity
- Active global citizens
Course structure
100-point program consisting of:
- Four compulsory subjects (50 points)
- Elective subjects (50 points)
Core subject selection (50 points core)
Students must complete all of the following subjects:
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90007 | Internet Technologies |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
COMP90038 | Algorithms and Complexity |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
COMP90041 | Programming and Software Development |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
AND one of:
Code | Name | Study period | Credit Points |
---|---|---|---|
INFO20003 | Database Systems |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
COMP20008 | Elements of Data Processing |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
General Elective subjects (50 credit points) from current list:
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP30024 | Artificial Intelligence | Semester 1 (On Campus - Parkville) |
12.5 |
INFO30005 | Web Information Technologies | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90048 | Declarative Programming | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP30019 | Graphics and Interaction | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
COMP30022 | IT Project | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
COMP30026 | Models of Computation | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
COMP30020 | Declarative Programming | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
SWEN30006 | Software Modelling and Design |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
COMP90015 | Distributed Systems |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
COMP90049 | Introduction to Machine Learning |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
COMP90087 | The Ethics of Artificial Intelligence | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
Last updated: 2 February 2023