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Graduate Certificate in Computer Science (GC-CS)
Graduate CertificateYear: 2020 Delivered: On Campus (Parkville)
About this course
Principal Coordinator
Nic Geard
Overview
Award title | Graduate Certificate in Computer Science |
---|---|
Year & campus | 2020 — Parkville |
CRICOS code | 099422D |
Fees information | Subject EFTSL, level, discipline and census date |
Study level & type | Graduate Coursework |
AQF level | 8 |
Credit points | 50 credit points |
Duration | 6 months full-time or 12 months part-time |
The Graduate Certificate in Computer Science provides students holding with having an undergraduate degree and some programming and maths background to acquire with the equivalent of a major in Computer Science. The course and acts thereby acts as a provides a direct pathway to the Master of Science (Computer Science) program.
The Graduate Certificate in Computer Science will focus on augmenting students’ existing computer science knowledge 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
- an undergraduate degree in any discipline; and
- at least 25 points of level 1 or above Computer Science subjects, or equivalent;
- at least 50 points of level 2 or above Computer Science subjects or equivalent; and
- at least 25 points of level 1 or above mathematics or statistics subjects, or equivalent.
Inherent requirements (core participation requirements)
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
All students must complete 50 points. Students MUST take appropriate level 2 subjects to meet level 3 requirements.
Core subject (at least 12.5 points)
Students must choose at least one of:
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90048 | Declarative Programming | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90015 | Distributed Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90049 | Introduction to Machine Learning |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
General electives
Remaining points to be made up from:
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP30024 | Artificial Intelligence | Semester 1 (On Campus - Parkville) |
12.5 |
COMP30027 | Machine Learning | Semester 1 (On Campus - Parkville) |
12.5 |
INFO30005 | Web Information Technologies | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90048 | Declarative Programming | Semester 1 (On Campus - Parkville) |
12.5 |
COMP30019 | Graphics and Interaction | Semester 2 (On Campus - Parkville) |
12.5 |
COMP30022 | IT Project | Semester 2 (On Campus - Parkville) |
12.5 |
COMP30026 | Models of Computation | Semester 2 (On Campus - Parkville) |
12.5 |
COMP30020 | Declarative Programming | Semester 2 (On Campus - Parkville) |
12.5 |
SWEN30006 | Software Modelling and Design |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90015 | Distributed Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90049 | Introduction to Machine Learning |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Last updated: 2 December 2022