The Graduate Diploma of Information Technology course is concerned with the accumulation of theoretical knowledge and practical skills related to the design, construction, operation, support and maintenance of information technology (IT) solutions.
This course will provide students with entry-level skills and introduces techniques used in the design and construction of IT solutions, as well as the research skills needed to assess the effectiveness of a solution or technology.
Students will gain specialist skills and become capable of working with information technology solutions at an entry level. This course provides graduates with knowledge and skills allowing them to undertake professional work in field of Information and Communication Technologies (ICT), and as a pathway for research and further learning.Â
Course details
Course structure and duration
To qualify for the award of Graduate Diploma of Information Technology students must complete 150 credit points comprising:
- Five (5) Core units (62.5 credit points)
- Five (5) Specialisation units (75 credit points)
- One (1) elective (12.5 credit points)
The duration of study is 15 months full-time. Students will undergo two long semesters of 9 weeks and three short semesters of 6 weeks. Each unit of study has a minimum 6 hours of class contact time per week or its equivalence.
Course learning outcome
On successful completion of this Course students will be able to:
- Demonstrate a coherent understanding of the fundamental aspects of ICT solutions including the appropriate project management techniques
- Identify, analyse and evaluate a range of potential solutions to problems by reflecting on associated trade-offs, work with stakeholders to propose appropriate solutions, communicate effectively the underlying value, and implement ICT solutions to achieve desired stakeholder expectations
- Demonstrate creativity and flexibility in the application of knowledge and skills to new situations, to solve complex problems, to respond to ethical organisational and IT issues and dilemmas, and to think rigorously and independently
- Demonstrate the professional application of a range of appropriate tools, techniques, and methods relevant to facilitate construction of information technology systems
- Apply knowledge of research principles and methods to plan and execute a piece of research with independence demonstrating the ability to analyse, process and synthesise complex information
Units of study
To be eligible for the award of Graduate Diploma of Information Technology, students must complete 12 units of study (150 credit points) comprising of 10 units of study (worth 12.5 credit points each) and one (1) double unit of study (worth 25 credit points).
Core units
Complete 5 units (62.5 credit points):
- COS60004 Creating Web Applications
- COS60009 Data Management for the Big Data Age
- COS70004 User-Centred Design
- COS80001 Cloud Computing Architecture
- COS80023 Big Data *
Specialisation
Complete 5 units (75 credit points) from one of the following specialisations:
Data Science
- COS60008 Introduction to Data Science
- COS60010 Technology Enquiry Project
- COS60011 Technology Design Project *
- COS70008 Technology Innovation Project*Â 25 credit points
- COS80025 Data Visualisation
Cybersecurity
- ICT60001 Operating System Management
- COS60010 Technology Enquiry Project
- COS60011 Technology Design Project
- COS70008 Technology Innovation Project*Â 25 credit points
- CYB60004 Networks and Cybersecurity Frameworks
*Outcome units – matched exemptions are generally not granted for higher education outcome units
Elective units
Choose 1 elective units (12.5 credit points) from the following list:
- COS80027 Machine Learning
- COS80025 Data Visualisation
- ICT60001 Operating System Management
- COS80013 Internet Security
*Outcome units – matched exemptions are generally not granted for higher education outcome units
Fees & scholarships
Fee*
*Â Fees are subject to annual review and may be adjusted.
Scholarships
At Swinburne scholarships are about providing opportunity, promoting equity and recognising excellence and achievement. Scholarships are available for both commencing and current students.
Find your scholarship
Entry requirements
Entry Requirements
- A recognized Bachelor’s degree with a minimum CGPA of 2.75, or
- A Bachelor’s Degree or its equivalent, with a minimum CGPA of 2.50 and not meeting CGPA of 2.75, can be accepted subject to rigorous internal assessment process, or
- A Bachelor’s Degree or its equivalent, with a minimum CGPA of 2.00 and a minimum of 5 years working experience in a relevant field may be accepted.
English Requirements
- IELTS 6.5 (no individual band below 6.0)
- TOEFL (Internet based) of 79 (Reading no less than 18; Writing no less than 20)
Application process
Apply for this course by following the step-by-step process from the links below.
- Learn more on the application process
Career opportunities
Graduates will have the knowledge and skills that allows them to undertake professional work at an advanced level in the field of Information and Technologies (ICT). Graduates who specialised in Cybersecurity will develop the skills and knowledge required to identify, demonstrate, diagnose, and fix flaws and threats in software systems. They will learn about system security, penetration testing, incident response, security management, reverse engineering, and ethical hacking. They will be equipped to seek employment in the following areas:
- Cybersecurity Analyst, Security Systems Manager, Cryptographer, Consultant/Advisor, Cybersecurity Coordinator/ Operations/Project Manager, Security System Developer, Security Solution Sales, Network/Cybersecurity Engineer/Architect, Security Solutions Sales
Graduates who specialised in Data Science will learn how to gain meaningful insight from data obtained from business, government, scientific and other sources. Expand the knowledge and understanding of computer science and data analytics, develop skills in state-of-the-art techniques and contemporary tools covering the entire data management lifecycle. They will be equipped to seek employment in the following areas:
- Data Science Developer, Data Scientist, Data Engineer, Data/Statistical Analyst, Data Modeller/Architect, Machine Learning Engineer, Big Data Engineer
Graduates can also pathway into research and further learning.
