- Students are to follow the requirements of the Handbook for the year they commenced the course.
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Master of Computer Science | 2018
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 |
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 demonstrate:
| 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, Spring |
| CSCI851 | Advanced Programming | 6 | Autumn, Spring |
| CSCI803 | Algorithms and Data Structures | 6 | Spring |
| Select one of the following: | |||
| CSCI835 | Database Systems | 6 | Autumn, Spring |
| CSCI862 | System Security | 6 | Spring |
| CSIT826 | Human Computer Interaction | 6 | Spring |
| Core: | |||
| CSCI920 | Contemporary Topics in Computer Science | 6 | Autumn |
| CSIT940 | Research Methodology | 6 | Autumn, Spring |
| Students must take one of the following:* | |||
| CSCI991 | Project | 12 | Annual, Spring 2018/Autumn 2019 |
| CSCI992 | Professional Project | 12 | Annual, Spring 2018/Autumn 2019 |
| Plus 3 subjects (18 cp) towards a specialisation or the no specialisation option - see listing below | |||
| Plus 5 subjects (30cp) from CSCI Graduate Subject List | |||
* Enrolment in CSCI991 Project (12cp) will be permitted for students who receive final grade of 75% or above in CSIT940 Research Methodology. Where students receive a final grade of less than 75% in CSIT940 Research Methodology, the candidate must enrol in CSCI992 Professional Project (12cp ). Interested students should contact the Academic Program Director whilst undertaking CSIT940 Research Methodology. In addition, CSCI991 Project and CSCI992 Professional Project must be completed in the specialisation that the student completed or if completing the no specialisation option related to the advanced subject that they complete.
Specialisations
Candidates may choose to complete a specialisation in:
- Intelligent Systems
- Machine Learning and Big Data
- Network and Information Security
- Software Engineering
Or may wish to complete the 'No Specialisation' option.
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 |
No Specialisation option
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| Complete one of the following group of 2 subjects | |||
| Group 1 | |||
| CSCI964 | Computational Intelligence^ | 6 | Autumn |
| 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 | Autumn |
| CSCI971 | Advanced Computer Security | 6 | Spring |
| Group 4 | |||
| CSCI910 | Software Requirements, Specifications and Formal Methods^ | 6 | Autumn |
| CSCI927 | Service-Oriented Software Engineering | 6 | Spring |
| Plus a subject from the CSCI Graduate Subject List | |||
Please note that the subjects, marked ^, above have pre-requisites.
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 |
| CSCI936 | Visualisation | 6 | Not offered in 2018 |
| CSCI944 | Perception and Planning | 6 | Spring |
| CSCI946 | Big Data Analytics | 6 | Spring |
| CSCI964 | Computational Intelligence | 6 | Autumn |
| CSCI966 | Coding for Secure Communication | 6 | Not offered in 2018 |
| 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 2018 |
| CSCI942 | Advanced Topics in Computer Science B | 6 | Not offered in 2018 |
| CSCI943 | Advanced Topics in Computer Science C | 6 | Not offered in 2018 |
| 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 2018 |
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