- Students are to follow the requirements of the Handbook for the year they commenced the course.
However, the subject links below do not contain the subject information for the current year. You can view current subject information through the new Course Handbook.
Master of Computer Science
The course information on this page is for new students commencing their degree in 2016 only.
Students should follow the rules and requirements for the year that they commenced their course. The online course information for years prior to 2016 are available from the Archives link in the menu.
Students should also review current subject availabilities via the Subject Descriptions link in the menu.
Testamur Title of Degree: | Master of Computer Science |
Abbreviation: | MCompSc |
UOW Course Code: | 431 |
CRICOS Code: | 083839K |
Total Credit Points: | 96 |
Duration: | 2 years full-time or part time equivalent |
Home Faculty: | Faculty of Engineering & Information Sciences |
Intake Sessions: | Autumn / Spring |
Delivery Mode: | On-campus (Face-to-face) |
Delivery Campus: | Wollongong |
Additional Information: | Course Finder |
Overview
The Master of Computer Science degree is designed to provide advanced studies in Computer Science at a professional level and also prepare students for the Master of Philosophy or doctoral research programs.
Entry Requirements
Academic requirements, English language requirements, assumed knowledge and credit transfer details are available from Course Finder.
Course Learning Outcomes
Students graduating from the Master of Computer Science will be able to:
- Solve complex real world problems by integrating computer science methods with effective management strategies and by developing and using computer applications.
- Research, synthesise and apply key information and expert judgement in computer software design and project planning.
- Interpret theoretical, practical and professional information and communicate knowledge, ideas and procedures to both computer scientists and stakeholders.
- Employ independent learning strategies to update own knowledge in the field and keep pace with innovations in computer science techniques, industry trends and standards.
Course Structure
This degree requires satisfactory completion of:
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| Year One | |||
| CSCI803 | Algorithms and Data Structures | 6 | Spring |
| CSCI804 | Object and Generic Programming in C++ | 6 | Autumn, Spring |
| CSCI822 | Systems Development | 6 | Autumn, Spring |
| Select one of the following: | |||
| CSCI835 | Database Systems | 6 | Autumn |
| CSCI862 | System Security | 6 | Spring |
| CSIT826 | Human Computer Interaction | 6 | Spring |
| Core: | |||
| CSCI920 | Contemporary Topics in Computer Science | 6 | Autumn, Spring |
| Plus 2 subjects (12cp) from CSCI Graduate Subject List | |||
| Students who wish to complete a specialisation 36cp - see listing below | |||
| Or, students complete three 900 level subjects (18cp) from the CSCI Graduate Subject List | |||
| Plus | |||
| CSCI940 | CS Research Methodology | 6 | Autumn |
| Year 2 | |||
| Students must undertake ONE of the following:* | |||
| CSCI991 | Project | 12 | Annual, Spring 2016/Autumn 2017 |
| CSCI992 | Professional Project | 12 | Annual |
| Plus 3 subjects (18cp) from CSCI Graduate Subject List | |||
* Enrolment in CSCI991 Project (12cp) will be permitted for students who receive final grade of 75% or above in CSCI940 Research Method. Where students receive a final grade of less than 75% in CSCI940 Research Methodology, the candidate must enrol in CSCI992 Professional Project (12cp).
Specialisation
Candidates may choose to complete a specialisation in:
- Intelligent Systems
- Multimedia and Visual Processing
- Network and Information Security
- Software Engineering
Intelligent Systems
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| CSCI940 | CS Research Methodology | 6 | Autumn |
| Complete 3 of the following: | |||
| CSCI964 | Computational Intelligence | 6 | Autumn |
| CSCI944 | Perception and Planning | 6 | Spring |
| CSCI924 | Reasoning and Learning | 6 | Spring |
| CSCI910 | Formal Methods in Software Engineering | 6 | Autumn |
| INFO911 | Data Mining and Knowledge Discovery | 6 | Autumn |
| Students must undertake ONE of the following:* | |||
| CSCI991 | Project | 12 | Annual, Spring 2016/Autumn 2017 |
| CSCI992 | Professional Project | 12 | Annual |
Multimedia and Visual Processing
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| CSCI940 | CS Research Methodology | 6 | Autumn |
| Complete the following: | |||
| CSCI933 | Pattern Recognition | 6 | Autumn |
| CSCI935 | Computer Vision | 6 | Spring |
| CSCI946 | Multimedia Content Management | 6 | Spring |
| Students must undertake ONE of the following:* | |||
| CSCI991 | Project | 12 | Annual, Spring 2016/Autumn 2017 |
| CSCI992 | Professional Project | 12 | Annual |
Network and Information Security
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| CSCI940 | CS Research Methodology | 6 | Autumn |
| Complete 3 of the following: | |||
| CSCI966 | Coding for Secure Communication | 6 | Autumn |
| CSCI968 | Advanced Network Security | 6 | Autumn |
| CSCI971 | Advanced Computer Security | 6 | Spring |
| INFO912 | Mathematics for Cryptography | 6 | Autumn |
| Students must undertake ONE of the following:* | |||
| CSCI991 | Project | 12 | Annual, Spring 2016/Autumn 2017 |
| CSCI992 | Professional Project | 12 | Annual |
Software Engineering
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| CSCI940 | CS Research Methodology | 6 | Autumn |
| Complete 3 of the following: | |||
| CSCI910 | Formal Methods in Software Engineering | 6 | Autumn |
| CSCI928 | Software Engineering Requirements and Specifications | 6 | Spring |
| CSCI926 | Software Testing and Analysis | 6 | Autumn |
| CSCI927 | Service-Oriented Software Engineering | 6 | Spring |
| Students must undertake ONE of the following:* | |||
| CSCI991 | Project | 12 | Annual, Spring 2016/Autumn 2017 |
| CSCI992 | Professional Project | 12 | Annual |
CSCI Graduate Subject List
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| CSCI910 | Formal Methods in Software Engineering | 6 | Autumn |
| CSCI924 | Reasoning and Learning | 6 | Spring |
| CSCI926 | Software Testing and Analysis | 6 | Autumn |
| CSCI927 | Service-Oriented Software Engineering | 6 | Spring |
| CSCI928 | Software Engineering Requirements and Specifications | 6 | Not offered in 2016 |
| CSCI935 | Computer Vision | 6 | Spring |
| CSCI936 | Visualisation | 6 | Not offered in 2016 |
| CSCI944 | Perception and Planning | 6 | Spring |
| CSCI946 | Multimedia Content Management | 6 | Spring |
| CSCI964 | Computational Intelligence | 6 | Autumn |
| CSCI966 | Coding for Secure Communication | 6 | Autumn |
| CSCI968 | Advanced Network Security | 6 | Autumn |
| CSCI971 | Advanced Computer Security | 6 | Spring |
Cognate Subject | |||
| Students may complete 1 of these subjects. Students wishing to undertake a second subject from this list must obtain prior approval from the Course Coordinator. Further, students must seek approval from the Subject Coordinator to ensure they have assumed knowledge. | |||
| ECTE903 | Image and Video Processing | 6 | Spring |
| INFO911 | Data Mining and Knowledge Discovery | 6 | Autumn |
| INFO912 | Mathematics for Cryptography | 6 | Autumn |
| INFO913 | Information Theory | 6 | Not offered in 2016 |
| CSCI933 | Pattern Recognition | 6 | Autumn |
| CSCI941 | Advanced Topics in Computer Science A | 6 | Spring |
| CSCI942 | Advanced Topics in Computer Science B | 6 | Autumn |
| CSCI943 | Advanced Topics in Computer Science C | 6 | Not offered in 2016 |
Professional Recognition
The Master of Computer Science is being submitted for accreditation by the Australian Computer Society. This will be confirmed post ACS accreditation.
Credit Arrangements
Credit and articulation arrangements are available from the Course Finder. Refer to UOW's credit arrangements for information on how to apply for credit.
Other Information
Further information is available at:
UOW Course Finder
Email: eis@uow.edu.au