University of Technology SydneyHandbook 2007

C04214v1 Master of Science in Advanced Computing

Award(s): Master of Science in Advanced Computing (MSc)
UAC code: 942617 (Autumn semester)
CRICOS code: 052140B
Load credit points: 72
Course EFTSL: 1.5
Faculty/institute responsible: Information Technology

Overview
Course aims
Career options
Articulation
Additional admission requirements
Additional recognition of prior learning
Course duration and attendance
Course structure
Course completion requirements
Course program
Other information

Overview

This course is designed for computing/information technology graduates continuing advanced study towards a research degree. It may also be of interest to computing/information technology graduates who want to undertake advanced study before entering professional practice.

The Master of Science in Advanced Computing provides entry to postgraduate study for recent/immediate graduates of information technology undergraduate programs to enable them to continue advanced study particularly, but not exclusively, towards a research degree.

Course aims

This course aims to:

  • develop advanced skills and knowledge in state-of-the-art and cutting-edge computing and information technology
  • enable the acquisition of a conceptual and analytical understanding of advanced computing and information technology, and
  • provide qualification for and entry to research studies.

Career options

On completion of this course, graduates are recognised as IT specialists/researchers who understand the issues involved in specific areas of state-of-the-art and cutting-edge computing and information technology.

Graduates are also able to apply their advanced skills and knowledge in a research environment.

Articulation

This course forms part of an articulated program comprising the Graduate Diploma in Advanced Computing (C07109), the Master of Science in Advanced Computing and the Master of Science in Advanced Computing (Extended) (C04215).

Additional admission requirements

Local students

Applicants should have:

  • a minimum qualification equivalent to a Bachelor's degree with a major in computing/information technology (or related discipline), or
  • a Bachelor's degree plus a Graduate Diploma in computing/information technology (or related discipline) from a recognised Australian university.

The admission requirements for applicants from UTS undergraduate awards are an average mark of 65 per cent or higher, and normally with no failures in the core subjects after the first year (full time) or Stages 1 and 2 (part time) of their undergraduate degree.

The admission requirements for applicants from the UTS Graduate Diploma in Information Technology are an average mark of 75 per cent across all subjects and only one failure allowed in first semester (average to include failed results as well as mark obtained in second attempt or in taking another elective instead).

The admission requirements for other local applicants are that the extent of an applicant's knowledge and their grades gained are equivalent to the knowledge and standard required for admission as a UTS applicant. Such applicants should attach detailed transcripts of their coursework annotated with their grades to demonstrate that the extent of their knowledge and the standard of their grades satisfies these admission requirements.

Criteria for admission to these courses support the University's Equal Opportunity policy.

Applicants with insufficient formal qualifications may be admitted if they can demonstrate evidence of general and professional qualifications, such as other post-secondary school qualifications that can establish the applicant's aptitude, knowledge and practical experience, which will satisfy the Faculty Board in Information Technology that the applicant possesses the educational preparation and capacity to pursue postgraduate studies.

International students

The abovementioned standard admission requirements also apply to international applicants. International applicants with insufficient formal qualifications are not admitted.

Additional recognition of prior learning

Exemption from subjects in the Master of Science is not normally given on the basis of previous study.

Course duration and attendance

The course may be taken on a part-time basis for six semesters over three years, or on a full-time basis for three semesters over one-and-one-half years.

Course structure

The Master of Science in Advanced Computing totals 72 credit points of study, made up of 24 credit points of core subjects and 48 credit points of elective subjects. Most subjects are 6 credit points each.

The core subjects provide students with an introduction to IT research culture and an exposure to IT research methods before undertaking a research project.

Course completion requirements

32931 Information Technology Research Methods 6cp
32934 Research Project 12cp
CBK90453 Electives 48cp
32144 IT Research Preparation 6cp
Total 72cp

Course program

The following example shows a typical full-time program commencing in Autumn semester. Following the example is the list of elective subjects.

Subjects may be taken in any sequence subject to the following constraints:

  • 32144 IT Research Methods Preparation must be taken in the first semester of full-time or part-time study
  • 32931 IT Research Methods and 32934 Research Project (12cp) must be taken after the completion of 48 credit points of study.

Note: subjects listed as electives are only offered in a particular semester (or year) if there is sufficient demand and the Faculty has the necessary resources.

 
Year 1
Autumn semester
32144 IT Research Preparation 6cp
Select 18 credit points of electives 18cp
Spring semester
Select 24 credit points of electives 24cp
Year 2
Autumn semester
32931 Information Technology Research Methods 6cp
32934 Research Project 12cp
Select 6 credit points of electives 6cp
 
Electives list
32008 Data Mining in Bioinformatics 6cp
32012 Internet Quality of Service (QoS) 6cp
32025 Recent Advances in Information Technology 6cp
32026 Specialist Topics in Information Technology 6cp
32027 Multimedia Systems Design 6cp
32028 Aligning Technology to Business Processes 6cp
32029 Interactive Arts 6cp
32030 Intelligent Mobile and Internet Enterprise Systems 6cp
32031 Advanced Visual Processing 6cp
32032 Semantic Web: Philosophy, Foundations and Technology 6cp
32034 Decision Support Technology in e-Services 6cp
32035 Foundations of Programming Languages 6cp
32036 Process Engineering (Objects and Agents) 6cp
32037 Metamodelling 6cp
32038 Software Architecture 6cp
32039 Recent Advances in Software Engineering 6cp
32150 Multimedia Data Mining 6cp
32545 Multi-Agent Systems 6cp
32550 Advances in Requirements Engineering 6cp
32603 Software Quality Management 6cp
32901 Recent Advances in Computer Systems 6cp
32902 Recent Advances in Information Systems 6cp
35340 Operations Research Practice 6cp
35353 Regression Analysis 6cp
35383 High Performance Computing 6cp
32148 Enterprise Computing 6cp
32013 .NET Enterprise Development 6cp
32210 Computer Vision and Image Processing 6cp
32525 Web Services Technologies and Applications 6cp
32998 Visual Basic .NET Applications Development 6cp
95563 Digital Media Development Process 6cp
95564 Digital Media Technologies 6cp
95565 Digital Graphics and the Still Image 6cp
95566 Digital Information and Interaction Design 6cp
95567 Digital Media in Social Context 6cp
95568 Digital Sound and the Moving Image 6cp
95569 Digital Media Project 12cp

Other information

Further information is available from the Building 10 Student Centre on:

telephone +61 2 9514 1222