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Computer Science
Informal specialisationYear: 2017
Computer Science
Overview
The Graduate Diploma allows students who have completed an undergraduate degree to re-focus or expand their body of knowledge by completing the requirement of one of the undergraduate majors (or equivalent) in the Bachelor of Science not already completed. The Graduate Diploma provides a pathway to the Master of Science Streams.
Intended learning outcomes
Students who complete the graduate diploma should:
- 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.
Last updated: 18 December 2020
Structure
Completion of 125 points:
- 50 points of study at Level 2 or above;
- 50 points of study at Level 3;
- 25 point of study at Level 9
Subject Options
Subject prerequisites: For stream specific requirements please click here.
Level 2
Students should select 37.5 points of level 2 options to meet the pre-requisites for their level 3 choices.
Students must take:
Code | Name | Study period | Credit Points |
---|---|---|---|
INFO20003 | Database Systems | Semester 2 (On Campus - Parkville) |
12.5 |
Plus one of:
Code | Name | Study period | Credit Points |
---|---|---|---|
SWEN20003 | Object Oriented Software Development | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90041 | Programming and Software Development |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Plus one of:
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP20003 | Algorithms and Data Structures | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90038 | Algorithms and Complexity |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP20007 | Design of Algorithms | Semester 1 (On Campus - Parkville) |
12.5 |
Level 3
All three of:
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP30023 | Computer Systems | Semester 1 (On Campus - Parkville) |
12.5 |
COMP30026 | Models of Computation | Semester 2 (On Campus - Parkville) |
12.5 |
SWEN30006 | Software Modelling and Design |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Plus two of:
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP30022 | IT Project | Semester 2 (On Campus - Parkville) |
12.5 |
COMP30024 | Artificial Intelligence | Semester 1 (On Campus - Parkville) |
12.5 |
COMP30019 | Graphics and Interaction | Semester 2 (On Campus - Parkville) |
12.5 |
INFO30004 | Usability Engineering | Semester 1 (On Campus - Parkville) |
12.5 |
INFO30005 | Web Information Technologies | Semester 1 (On Campus - Parkville) |
12.5 |
Level 9
Plus two level 9 subjects selected from listed discipline subjects in the
Code | Name | Study period | Credit Points |
---|---|---|---|
Master of Science (Computer Science) | No longer available |
Links
http://graduate.science.unimelb.edu.auLast updated: 18 December 2020