Students
Tuition Fee
AUD 19,400
Per course
Start Date
Not Available
Medium of studying
Fully Online
Duration
1.5 years
Details
Program Details
Degree
Masters
Major
Computer Science | Data Science | Software Engineering
Area of study
Information and Communication Technologies | Engineering
Education type
Fully Online
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
AUD 19,400
Intakes
Program start dateApplication deadline
2024-02-01-
2024-04-01-
2024-07-01-
2024-10-01-
About Program

Program Overview


Master of Information Technology (Computer Science)

Overview

The Master of Information Technology (Computer Science) is designed for professionals who want to explore the frontiers of technology while building a strong and versatile skill set. This major creates adaptable IT professionals who can work across disciplines, tailoring their studies to their interests with unit options in areas like machine learning, cyber security, and user experience.


Course Structure

  • Foundation core units:
    • Programming Fundamentals (12 credit points)
    • Rapid Web Development with Databases (12 credit points)
    • Computer Systems and Security (12 credit points)
    • Systems Innovation and Design (12 credit points)
  • Advanced core units:
    • Machine Learning (12 credit points)
    • Cyber Security and Governance (12 credit points)
    • Software Lifecycle Management (12 credit points)
    • Human-Centred Design of IT Systems (12 credit points)
    • Introduction to Research (12 credit points)
  • Capstone units:
    • Industry pathway:
      • Industry Project (Phase 1) (12 credit points)
      • Industry Project (Phase 2) (12 credit points)
      • Industry Project (Phase 3) (12 credit points)
    • Research pathway:
      • Industry Research Project (Phase 1) (12 credit points)
      • Industry Research Project (Phase 2) (12 credit points)
  • Core units – Computer science major:
    • Object-Oriented Design and Development (12 credit points)
    • Advanced Algorithms and Computational Complexity (12 credit points)
  • Core optional units – Computer science:
    • Introduction to Data Science (12 credit points)
    • Machine Learning for Natural Language Processing (12 credit points)
    • Applied Cryptography (12 credit points)
    • Software Security (12 credit points)
    • Networks and Security (12 credit points)

Entry Requirements

To gain entry into the Master of Information Technology (Computer Science), applicants must meet the following requirements:


  • 2-year program:
    • A completed recognised bachelor's degree (or higher) in any discipline with a minimum GPA of 4 (on a 7-point scale)
  • 1.5-year program:
    • A completed recognised bachelor's degree (or higher) in information technology with a minimum GPA of 4 (on a 7-point scale)
    • A completed recognised bachelor's degree (or higher) in any discipline with a minimum GPA of 4 (on a 7-point scale) plus 3 years FTE of professional work experience in information technology
    • A completed recognised Graduate Certificate in information technology with a minimum GPA of 4 (on a 7-point scale)
    • A completed QUT IQ14, IQ15, IQ16, IQ18, or IQ30 Graduate Certificate
  • 1-year program:
    • A completed recognised Graduate Diploma in information technology (in the same discipline as the planned IQ20 major) with a minimum GPA of 4 (on a 7-point scale)
    • A completed QUT IQ19 Graduate Diploma in Information Technology (in the same discipline as the planned IQ20 major)

Course Outcomes

Upon completion of the Master of Information Technology (Computer Science), graduates will develop an adaptable and creative digital skill set to craft smarter ICT solutions. They will gain advanced knowledge of computer science and its applicability within business contexts, learning to critically evaluate practices and strategies to solve complex problems and drive innovation in projects.


Skills and Tools

The course covers a range of skills and tools, including:


  • Problem-solving
  • Computer science expertise
  • Core Body of Knowledge
  • Critically analysing and solving complex computer science problems
  • Demonstrable business acumen
  • Making appropriate judgments in professional contexts
  • Visual Studio
  • Tableau
  • Microsoft Azure
  • Lucidchart
  • Draw.io
  • Signavio
  • HTML
  • CSS
  • Python
  • Unified Modelling Language (UML)
  • Oracle Database
  • Jupyter Notebook
  • Anaconda
  • SQLite
  • React
  • R and RStudio
  • Microsoft Teams

Potential Career Opportunities

Graduates of the Master of Information Technology (Computer Science) may pursue careers as:


  • Programmer
  • Systems engineer
  • Network architect
  • Information technology specialist

Fees

The estimated total fees for the Master of Information Technology (Computer Science) are AUD $19,400, which includes a 70% subsidy with a Commonwealth Supported Place (CSP).


Duration

The duration of the Master of Information Technology (Computer Science) is 1.5 – 2 years full-time or part-time equivalent.


Academic Calendar

The academic calendar for the Master of Information Technology (Computer Science) includes start dates in February, April, July, and October.


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