2019 Postgraduate Courses
  • 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 | 2019

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
Plus one of the following
MTS9302 Corporate Network Management 6 Autumn
ISIT925 Strategic Network Design 6 Spring
And      
CSIT940 Research Methodology 6 Autumn, Spring
Year 2
CSCI920 Contemporary Topics in Computer Science 6 Autumn
Students must take one of the following:*
CSCI991 Project 12 Annual, Spring 2019/Autumn 2020
CSCI992 Professional Project 12 Annual, Spring 2019/Autumn 2020
Plus 3 subjects (18 cp) towards a major plus 4 subjects (24cp) from CSCI Graduate Subject List  - see listing below
OR 2 subjects (12cp) in a no major option plus 5 subjects (30cp) from CSCI Graduate Subject List - see listing below

* Enrolment in CSCI991 Project (12cp) will be permitted for students who receive final grade of 75% or above in CSIT940 Research Methodology and an average of 75% or greater in all other subjects. Where students receive a final grade of less than 75% in CSIT940 Research Methodology or do not achieve a 75% average in all other subjects, 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 or CSCI992 Professional Project  must be completed in the major that the student completed or if completing the no major option related to the advanced subject that they complete.   

Majors

Candidates may choose to complete a major in:

  • Intelligent Systems
  • Machine Learning and Big Data
  • Network and Information Security
  • Software Engineering 

Or may wish to complete the 'No Major' 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 Major 

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
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 Academic Program Director. 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 2019
CSCI942 Advanced Topics in Computer Science B 6 Not offered in 2019
CSCI943 Advanced Topics in Computer Science C 6 Not offered in 2019
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 2019

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

Last reviewed: 10 October, 2019