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Master of Computer Science | 2020
Testamur Title of Degree: | Master of Computer Science |
Abbreviation: | MCompSc |
UOW Course Code: | SW431 |
CRICOS Code: | 083839K |
Total Credit Points: | 96 |
Duration: | 2 years full-time or part time equivalent |
Home Faculty: | Faculty of Engineering & Information Sciences |
Intake Session(s): | Autumn, Spring |
Delivery Mode: | On-campus (Face-to-face) |
Delivery Campus | South Western Sydney |
Overview
The Master of Computer Science degree is designed to provide postgraduate studies in Computer Science at a professional level and also prepare students for the Master of Philosophy or doctoral research programs.
The Master of Computer Science is professionally accredited by the Australian Computer Society.
Entry Requirements & Credit Arrangements
Information on academic and English language requirements, as well as eligibility for credit for prior learning, is available from the Course Finder.
Course Learning Outcomes
Course Learning Outcomes are statements of learning achievement that are expressed in terms of what the learner is expected to know, understand and be able to do upon completion of a course. Students graduating from this course will be able to:
CLO | Description | ||||||
---|---|---|---|---|---|---|---|
1 | Solve complex real world problems by integrating computer science methods with effective management strategies and by developing and using computer applications. | ||||||
2 | Research, synthesise and apply key information and expert judgement in computer software design and project planning. | ||||||
3 | Interpret theoretical, practical and professional information and communicate knowledge, ideas and procedures to both computer scientists and stakeholders. | ||||||
4 | Employ independent learning strategies to update own knowledge in the field and keep pace with innovations in computer science techniques, industry trends and standards | ||||||
5 | Work as an individual and as a member of a team in a manner consistent with ethical and professional standards. |
Course Structure
This degree requires satisfactory completion of:
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
Year 1 | |||
CSCI814 | IT Project Management | 6 | Autumn |
CSCI851 | Advanced Programming | 6 | Spring |
CSCI803 | Algorithms and Data Structures | 6 | Spring |
Select one of the following | |||
CSCI835 | Database Systems | 6 | Spring |
CSCI862 | System Security | 6 | Spring |
CSIT826 | Human Computer Interaction | 6 | Spring |
Plus one of the following | |||
MTS9302 | Corporate Network Management | 6 | Autumn |
ISIT925 | Strategic Network Design | 6 | Offered in 2021 |
And | |||
CSIT940 | Research Methodology | 6 | Autumn |
Year 2 | |||
CSCI920 | Contemporary Topics in Computer Science | 6 | Offered in 2021 |
Students must take one of the following:* | |||
CSCI991 | Project | 12 | Offered in 2021 |
CSCI992 | Professional Project | 12 | Spring 2020/Autumn 2021 |
Plus 3 subjects (18 cp) towards a major (at the Wollongong campus) plus 5 subjects (30cp) from CSCI Graduate Subject List - see listing below | |||
OR 2 subjects (12cp) in a no major option plus 6 subjects (36cp) from CSCI Graduate Subject List - see listing below |
No Major
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
Complete one of the following group of 2 subjects | |||
Group 1 | |||
CSCI964 | Computational Intelligence^ | 6 | Not on offer |
CSCI924 | Reasoning and Learning | 6 | Spring |
Group 2 | |||
CSCI933 | Machine Learning Algorithms and Applications | 6 | Autumn |
CSCI946 | Big Data Analytics^ | 6 | Spring |
Group 3 | |||
CSCI968 | Advanced Network Security^ | 6 | Not on offer |
CSCI971 | Advanced Computer Security | 6 | Not on offer |
Group 4 | |||
CSCI910 | Software Requirements, Specifications and Formal Methods^ | 6 | Autumn |
CSCI927 | Service-Oriented Software Engineering | 6 | Spring |
Please note that the subjects, marked ^, above have pre-requisites.
There is an opportunity to specialise in a major at the Wollongong campus by choosing one or more of the following majors offered:
- Intelligent Systems
- Machine Learning and Big Data
- Network and Information Security
- Software Engineering.
Intelligent Systems
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
CSCI964 | Computational Intelligence^ | 6 | Autumn |
CSCI924 | Reasoning and Learning | 6 | Spring |
CSCI944 | Perception and Planning | 6 | Spring |
Machine Learning and Big Data
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
CSCI933 | Machine Learning Algorithms and Applications | 6 | Autumn |
CSCI935 | Computer Vision Algorithms and Systems | 6 | Spring |
CSCI946 | Big Data Analytics^ | 6 | Spring |
Network and Information Security
Subject Code | subject Name | Credit Points | Session(s) |
---|---|---|---|
CSCI968 | Advanced Network Security^ | 6 | Autumn |
INFO912 | Mathematics for Cryptography | 6 | Autumn |
CSCI971 | Advanced Computer Security | 6 | Spring |
Software Engineering
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
CSCI910 | Software Requirements, Specifications and Formal Methods^ | 6 | Autumn |
CSCI926 | Software Testing and Analysis | 6 | Autumn |
CSCI927 | Service-Oriented Software Engineering | 6 | Spring |
CSCI Graduate Subject List
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
CSCI910 | Software Requirements, Specifications and Formal Methods | 6 | Autumn |
CSCI924 | Reasoning and Learning | 6 | Spring |
CSCI926 | Software Testing and Analysis | 6 | Autumn |
CSCI927 | Service-Oriented Software Engineering | 6 | Spring |
CSCI933 | Machine Learning Algorithms and Applications | 6 | Autumn |
CSCI935 | Computer Vision Algorithms and Systems | 6 | Spring |
CSCI944 | Perception and Planning | 6 | Spring |
CSCI946 | Big Data Analytics | 6 | Spring |
CSCI964 | Computational Intelligence | 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. | |||
CSCI941 | Advanced Topics in Computer Science A | 6 | Not offered in 2020 |
CSCI942 | Advanced Topics in Computer Science B | 6 | Not offered in 2020 |
CSCI943 | Advanced Topics in Computer Science C | 6 | Not offered in 2020 |
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 2020 |
Professional Recognition
The Master of Computer Science is professionally accredited by the Australian Computer Society.
Other Information
Further information is available via email: eis@uow.edu.au or Academic Program Director