Master of Information Technology

Master of Information Technology

Master degree
18 months
Processing time: 42 days
Application fee: A$100
Full-time, Part-time
Intakes: February, July
International tuition: A$41,400
Domestic tuition: A$32,500

Program overview

These course outcomes are aligned with the Australian Qualifications Framework level 9 and Monash Graduate Attributes. Upon successful completion of this course it is expected that you will be able to: 1. analyse critically advanced algorithms and information technologies 2. design and construct innovative information technology solutions that are based on sound and considered theoretical foundations 3. review critically, synthesise, apply and evaluate contemporary information technology theories into practice 4. extend and generalise existing advanced information technology techniques in relevant contexts and evaluate the efficacy of such extensions 5. analyse critically and consequently report, with scientific rigour, on the application of information technology theories in solving complex problems 6. communicate effectively appropriate information technology solutions to the stakeholders 7. evaluate critically the ethical use of information technology to guide professional practise in the relevant information technology disciplines.

Study options

Study options
This program can be done
On campus
Part-time

Requirements

Exams:

  • TOEFL PBT
  • TOEFL iBT
  • IELTS
  • PTE
Entry level 1: Duration: 2 years full-time, 4 years part-time (96 points to complete) An Australian undergraduate degree not necessarily in IT, with at least a 55% average, or qualification deemed by the faculty to be a satisfactory equivalent. Entry level 2: Duration: 1.5 years full-time, 3 years part-time (72 points to complete) An Australian undergraduate degree in a cognate discipline or major in IT including computing, computer science or a technical information technology field, with completed studies in programming, databases, computer architecture, algorithms and data structures, data communications and system analysis and design, with at least 55% average, or qualification deemed by the faculty to be a satisfactory equivalent.

Career opportunities

The course offers you the opportunity to explore a wide range of areas, such as software engineering, mobile and distributed systems, project management and machine learning.

Campus location

Frankston , Australia

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