Course Overview
The Master of Information Technology (MIT) is designed to enable those with a degree in non IT areas to develop skills and knowledge that will allow them to enter the field of information technology. Students entering the Master of Information Technology from cognate bachelor degrees (e.g. bachelor degree in IT or Computer Science) are eligible for potential unit substitution for one or more of the foundational units within the course.
The course provides a solid base in all of the key foundational and important areas of IT, and provides the opportunity for students to specialise and develop deep knowledge within specific areas of IT.
The Master of Information Technology has been designed to meet the current and growing skill shortage in IT, particularly in the areas of Cyber Security, Computer Networking and Artificial Intelligence. Students may select from advanced units covering key aspects of Cyber Security, Enterprise Networks or Artificial Intelligence and graduate with a specialisation in these areas. There are two electives in the MIT, one of which can be from a field other than IT. The course includes a capstone Applied Project unit that ensures that competence in the application of skills and knowledge is demonstrated to current and/or prospective employers.
Course Structure
Master of Information Technology
Master of Information Technology
Compulsory Units | Credit Points/EFTSL |
---|---|
ICT5150 – Information Systems | 8/0.167 |
ICT5151 – Data and Information Management | 8/0.167 |
ICT5152 – Software and Systems Design | 8/0.167 |
ICT5201 – Research Methods and Data Analysis | 8/0.167 |
ICT5250 – Computer Networks and Security | 8/0.167 |
PRJ5003 – Project Constraint Management | 8/0.167 |
ICT6001 – Applied Project | 8/0.167 |
Students need to choose three (3) Advanced IT electives from the following Advanced IT units:
Advanced IT units | Credit Points/EFTSL |
---|---|
ICT5253 – Cloud Architectures and Solutions | 8/0.167 |
ICT5350 – Securing IT Systems | 8/0.167 |
ICT5351 – Cyber Defence | 8/0.167 |
ICT5352 – Cyber Security Management | 8/0.167 |
ICT5354 – Enterprise Network Design | 8/0.167 |
ICT5355 – Emerging Network Technologies | 8/0.167 |
ICT5356 – Principles of Artificial Intelligence | 8/0.167 |
ICT5357 – Problem-solving and Decision-Making with Machine Learning | 8/0.167 |
ICT5358 – Unleashing the Power of Generative AI Models | 8/0.167 |
The following table shows the pre-requisites for all the units.
Units | Prerequisites |
---|---|
ICT5201 – Research Methods and Data Analysis | ICT5250 – Computer Networks and Security |
ICT5250 – Computer Networks and Security | ICT5150 – Information Systems |
ICT6001 – Applied Project | ICT5201 – Research Methods and Data Analysis |
ICT5253 – Cloud Architectures and Solutions | ICT5150 – Information Systems and ICT5151 – Data and Information Management |
ICT5350 – Securing IT Systems | ICT5250 – Computer Networks and Security |
ICT5351 – Cyber Defence | ICT5250 – Computer Networks and Security |
ICT5352 – Cyber Security Management | ICT5250 – Computer Networks and Security |
ICT5354 – Enterprise Network Design | ICT5250 – Computer Networks and Security |
ICT5355 – Emerging Network Technologies | ICT5250 – Computer Networks and Security |
ICT5356 – Principles of Artificial Intelligence | ICT5150 – Information Systems |
ICT5357 – Problem-solving and Decision-Making with Machine Learning | ICT5356 – Principles of Artificial Intelligence |
ICT5358 – Unleashing the Power of Generative AI Models | ICT5356 – Principles of Artificial Intelligence |
The following elective options are those selected by students within the final stage of the APIC Master of Information Technology course. Students must select two (2) elective units (one of them must be in ICT filed (ICT coded unit) from the following list. All elective units to be selected are subject to availability.
Master of Information Technology with Specialisation in Cyber Security
Master of Information Technology with Specialisation in Cyber Security
Compulsory Units | Credit Points/EFTSL |
---|---|
ICT5150 – Information Systems | 8/0.167 |
ICT5151 – Data and Information Management | 8/0.167 |
ICT5152 – Software and Systems Design | 8/0.167 |
ICT5201 – Research Methods and Data Analysis | 8/0.167 |
ICT5250 – Computer Networks and Security | 8/0.167 |
PRJ5003 – Project Constraint Management | 8/0.167 |
ICT6001 – Applied Project | 8/0.167 |
ICT5350 – Securing IT Systems | 8/0.167 |
ICT5351 – Cyber Defence | 8/0.167 |
ICT5352 – Cyber Security Management | 8/0.167 |
The following elective options are those selected by students within the final stage of the APIC Master of Information Technology course. Students must select two (2) elective units (one of them must be in ICT filed (ICT coded unit) from the following list. All elective units to be selected are subject to availability.
The following table shows the pre-requisites for all the units.
Units | Prerequisites |
---|---|
ICT5201 – Research Methods and Data Analysis | ICT5250 – Computer Networks and Security |
ICT5250 – Computer Networks and Security | ICT5150 – Information Systems |
ICT6001 – Applied Project | ICT5201 – Research Methods and Data Analysis |
ICT5253 – Cloud Architectures and Solutions | ICT5150 – Information Systems and ICT5151 – Data and Information Management |
ICT5350 – Securing IT Systems | ICT5250 – Computer Networks and Security |
ICT5351 – Cyber Defence | ICT5250 – Computer Networks and Security |
ICT5352 – Cyber Security Management | ICT5250 – Computer Networks and Security |
ICT5354 – Enterprise Network Design | ICT5250 – Computer Networks and Security |
ICT5355 – Emerging Network Technologies | ICT5250 – Computer Networks and Security |
ICT5356 – Principles of Artificial Intelligence | ICT5150 – Information Systems |
ICT5357 – Problem-solving and Decision-Making with Machine Learning | ICT5356 – Principles of Artificial Intelligence |
ICT5358 – Unleashing the Power of Generative AI Models | ICT5356 – Principles of Artificial Intelligence |
Master of Information Technology with Specialisation in Enterprise Networks
Master of Information Technology with Specialisation in Enterprise Networks
Compulsory Units | Credit Points/EFTSL |
---|---|
ICT5150 – Information Systems | 8/0.167 |
ICT5151 – Data and Information Management | 8/0.167 |
ICT5152 – Software and Systems Design | 8/0.167 |
ICT5201 – Research Methods and Data Analysis | 8/0.167 |
ICT5250 – Computer Networks and Security | 8/0.167 |
PRJ5003 – Project Constraint Management | 8/0.167 |
ICT6001 – Applied Project | 8/0.167 |
ICT5253 – Cloud Architectures and Solutions | 8/0.167 |
ICT5354 – Enterprise Network Design | 8/0.167 |
ICT5355 – Emerging Network Technologies | 8/0.167 |
The following elective options are those selected by students within the final stage of the APIC Master of Information Technology course. Students must select two (2) elective units (one of them must be in ICT filed (ICT coded unit) from the following list. All elective units to be selected are subject to availability..
The following table shows the pre-requisites for all the units.
Units | Prerequisites |
---|---|
ICT5201 – Research Methods and Data Analysis | ICT5250 – Computer Networks and Security |
ICT5250 – Computer Networks and Security | ICT5150 – Information Systems |
ICT6001 – Applied Project | ICT5201 – Research Methods and Data Analysis |
ICT5253 – Cloud Architectures and Solutions | ICT5150 – Information Systems and ICT5151 – Data and Information Management |
ICT5350 – Securing IT Systems | ICT5250 – Computer Networks and Security |
ICT5351 – Cyber Defence | ICT5250 – Computer Networks and Security |
ICT5352 – Cyber Security Management | ICT5250 – Computer Networks and Security |
ICT5354 – Enterprise Network Design | ICT5250 – Computer Networks and Security |
ICT5355 – Emerging Network Technologies | ICT5250 – Computer Networks and Security |
ICT5356 – Principles of Artificial Intelligence | ICT5150 – Information Systems |
ICT5357 – Problem-solving and Decision-Making with Machine Learning | ICT5356 – Principles of Artificial Intelligence |
ICT5358 – Unleashing the Power of Generative AI Models | ICT5356 – Principles of Artificial Intelligence |
Master of Information Technology with Specialisation in Artificial Intelligence
Master of Information Technology with Specialisation in Artificial Intelligence
The following elective options are those selected by students within the final stage of the APIC Master of Information Technology course. Students must select two (2) elective units (one of them must be in ICT filed (ICT coded unit) from the following list. All elective units to be selected are subject to availability.
The following table shows the pre-requisites for all the units.
Units | Prerequisites |
---|---|
ICT5201 – Research Methods and Data Analysis | ICT5250 – Computer Networks and Security |
ICT5250 – Computer Networks and Security | ICT5150 – Information Systems |
ICT6001 – Applied Project | ICT5201 – Research Methods and Data Analysis |
ICT5253 – Cloud Architectures and Solutions | ICT5150 – Information Systems and ICT5151 – Data and Information Management |
ICT5350 – Securing IT Systems | ICT5250 – Computer Networks and Security |
ICT5351 – Cyber Defence | ICT5250 – Computer Networks and Security |
ICT5352 – Cyber Security Management | ICT5250 – Computer Networks and Security |
ICT5354 – Enterprise Network Design | ICT5250 – Computer Networks and Security |
ICT5355 – Emerging Network Technologies | ICT5250 – Computer Networks and Security |
ICT5356 – Principles of Artificial Intelligence | ICT5150 – Information Systems |
ICT5357 – Problem-solving and Decision-Making with Machine Learning | ICT5356 – Principles of Artificial Intelligence |
ICT5358 – Unleashing the Power of Generative AI Models | ICT5356 – Principles of Artificial Intelligence |
Admission Requirements
-
Entry Requirements
-
English Language Requirements(For International Students)
-
FEE-HELP(For Domestic Students)
The following admission criteria apply to all applicants to courses at APIC that lead to the award of an AQF Level 9 qualification. Additional English language requirements for international students are provided in the next tab.
- Applicants must have successfully completed a Bachelor’s degree (AQF 7) or higher, awarded by a recognised university or higher education institution, in any discipline; OR
- Applicants who have completed a postgraduate preparation program.
For more information on admission requirements, please refer to the APIC Admission Policy.
All applicants from a non-English speaking background applying to any postgraduate course at APIC must satisfy the following additional English language requirements:
- IELTS Academic: overall band score of 6.5 or higher, with a minimum score of 6.0 in writing and speaking; OR
- IBT (Internet-based TOEFL): overall score of 79 with a writing section minimum of 21 and speaking 18; OR
- Cambridge Certificate of Proficiency in English (CPE): Overall score 180, writing and speaking 180; OR
- Cambridge Certificate of Advanced English (CAE): Overall 176 with a writing and speaking minimum score of 169: OR
- PTE Academic Module with a minimum score of 58 with a writing and speaking section minimum of 50: OR
- English For Academic Purposes Level 2 (EAP 2): Upper Intermediate ‘A’ grade or higher with IELTS 6.5 requirement.
FEE-HELP is a Commonwealth Government loan available to eligible students enrolled in APIC Courses in order to help pay all or part of their tuition fees.
FEE-HELP is available for all Units of Study for eligible students.
Details about HELP loans including eligibility requirements and repayment of a HELP debt can be found here.
The current FEE-HELP Information Booklet can be downloaded here.
If you have any questions about applying for FEE-HELP please contact us at: [email protected]
Course Learning Outcomes
Graduates of MIT will be able to:
- Master the core body of information technology knowledge.
- Articulate project and IT systems management issues and principles.
- Appraise current and emerging approaches and technologies in information technology.
- Integrate ethical considerations into IT solutions and professional practices.
- Communicate complex information technology concepts and solutions to specialists, non-specialists, and collaborators.
- Create justifiable innovative solutions to complex information technology problems through independent research, industry standard technologies and methodologies.
Accreditation
- APIC courses are nationally accredited and registered by the Tertiary Education Quality and Standards
Agency (TEQSA) and included in the National Register of Higher Education Providers. - APIC is registered on the Commonwealth Register of Institutions and Courses for Overseas Students
(CRICOS). MIT CRICOS Code is 108729F.
Skill Development
- Information Technology
- Enterprise Networks
- System Design
- Cyber Defence
- IT Systems Security
- Data Management
- Project Management
- Cloud Architecture
Career Outcomes
Possible employment:
- ICT Account Managers
- ICT Business Analysts
- ICT Business and Systems Analysts
- ICT Business Development Managers
- ICT Customer Support Officers
- ICT Managers
- ICT Project Managers
- ICT Quality Assurance Engineers
- ICT Sales Assistants
- ICT Sales Professionals
- ICT Sales Representatives
- ICT Security Specialists
- ICT Support and Test Engineers
- ICT Support Engineers
- ICT Support Technicians
- ICT Systems Test Engineers
- ICT Trainers
- Network Administration
- Network Analysis
- Computer Network and System Engineering
- Data Scientist
- AI Research Scientist
- Cloud Computing and Security
- AI/Machine Learning Engineer
- AI Consultant
Career Outcomes
ICT Account Managers
ICT Business Analysts
ICT Business and Systems Analysts
ICT Business Development Managers
ICT Customer Support Officers
ICT Managers
ICT Project Managers
ICT Quality Assurance Engineers
ICT Sales Assistants
ICT Sales Professionals
ICT Sales Representatives
ICT Security Specialists
ICT Support and Test Engineers
ICT Support Engineers
ICT Support Technicians
ICT Systems Test Engineers
ICT Trainers
Network Administration
Network Analysis
Computer Network and System Engineering
Data Scientist
AI Research Scientist
Cloud Computing and Security
AI/Machine Learning Engineer
AI Consultant
