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2 Years
Face to Face / Blended / On-line
Full time / Part time / Online / On-campus · 6–10 hours per week per unit
02 Mar 2026 | 25 May 2026 | 03 Aug 2026 | 07 Sep 2026 | 07 Dec 2026

Course Overview
Where You Can Study
157-161 Gloucester Street, The Rocks, Sydney NSW 2000
157-161, Gloucester St, The Rocks,, Sydney, NSW 2000
Eligibility
Career & Study Pathways
Quality & Recognition
Academic Regulator
TEQSA
Professional Body
Australian Computer Society (ACS)
Accreditation Status
AccreditedSkills Assessor
ACS
Course Content
Business Information Systems
Covers foundation knowledge in the use of information and information technology (IT) in business, including fundamental components of IT such as computing hardware, software, and networking and applications to implement business transformation successfully.
Object-Oriented Programming
Covers core concepts of object-oriented (OO) programming including programming paradigms, abstraction, encapsulation, specialisation, aggregation, polymorphism, exception handling, and data structures.
Database Systems
Covers in-depth knowledge and concepts for database models, systems and languages including data modelling, data structure design and Structured Query Language (SQL) used in relational database.
IT Networking and Communication
Covers fundamental knowledge in data communications and network technology, including various networking and communication media and multiple techniques for reliable and efficient data communication.
IT Project Management
Covers fundamental IT project management techniques for managing medium- to large-scale IT projects including scope management, time management, stakeholder management, quality management, costing, integration, resource management, communication, procurement processes and risk management.
Software Engineering
Covers the concepts and methodologies required to design and develop software applications, including key aspects of the software development life cycle such as requirement, design and testing.
Data Science
Examines the key domains, concepts and technologies of data science with an aim to equip students with knowledge, skills and capabilities to acquire and process large datasets and draw insights from them.
IT Security
Covers the key concepts involved in identifying and investigating major IT security technologies, issues, and approaches relevant to contemporary organisations and communities, including cryptography, network security, software security and IT security management.
Business Intelligence
Provides an in-depth understanding of intelligent business systems that can represent, reason about, and interpret data, including algorithms for learning about the structure of data, analysing data to extract patterns and meaning, generating new information, and suggesting strategies to act on analysis findings.
Business Analytics and Visualisation
Students develop an application to fulfill a critical analysis need of a business, typically an analytical dashboard to visualise important patterns, trends and forecasts, gaining knowledge, skills and capabilities to complete a data science project.
Big Data
Provides a detailed and in-depth understanding of big data solutions on a distributed computing platform, covering distributed systems, distributed file systems, NoSQL technology, resilient distributed data or tuple spaces and practical training on tools related to tuple storage, processing, loose coupling analysis and visualization.
Ethical Hacking and Penetration Testing
Introduces ethical hacking and penetration testing with a focus on internet-enabled services and technologies, including modern techniques for assessing security of implemented network configurations and how to defend against network-based threats.
Cyber Security Governance and Management
Provides an understanding of IT security development and enterprise security from a governance management perspective, exploring different models, standards, policies, and practices guiding the corporate governance of information security.
Advanced Digital Forensics
Delves into systematic techniques such as data acquisition and validation, forensic methodologies, file systems examination, graphics file investigation, network and email investigation, professionalism and ethics to detect cybercriminal activities, gather evidence and prosecute criminals.
Knowledge Management
Covers various knowledge management (KM) frameworks and strategies and their key drivers, exploring key elements of data, information, and tacit and factual knowledge using the SECI knowledge creation model.
Common Questions
The Master of Information Technology and Systems offers four specialisations: Business Analytics, Cyber Security, Information Systems, and Software Engineering. Each specialisation aims to equip students with the necessary expertise and skills to become proficient IT professionals in the ever-evolving world of technology.
The course is structured over a period of two years for full-time students. Part-time students have the flexibility to complete the course in three to four years, ensuring they can balance their academic pursuits with work or other commitments.
Yes, VIT's Master of Information Technology and Systems (MITS) is accredited by the Australian Computer Society (ACS) at the Professional Level. ACS is the leading and largest professional association representing Australia's technology community across industry, government, and education. Students are also eligible for complimentary ACS student membership while studying.
To graduate with the MITS, you need to have completed 96 credit points in one of the specialisation streams, comprising: Foundation units (24 credit points), Core units (24 credit points), Specialisation units (18 credit points in one chosen specialisation stream), Elective units (12 credit points), Project unit (12 credit points), and Research unit (6 credit points).
If a student admitted into a MITS course discontinues their studies at VIT before completing all requirements, they may be awarded the highest qualification from the following: Graduate Diploma of Information Technology and Systems (48 Credit Points) or Graduate Certificate of Information Technology and Systems (24 Credit Points), provided they have met the specific criteria for that qualification.
Application
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Step 02
Submit Documents
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Step 03
Get Enrolled
Receive your offer letter and confirm your enrolment. Welcome to the course!
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Master of Nursing · Griffith University