Engineer your own career advancement
If you are an existing engineering graduate looking for career progression, then UC’s Master of Engineering offers the chance to not only gain an advanced qualification in a field of your choice, but also help put you on the right path to success.
With a strong emphasis on Work Integrated Learning (WIL) and real-world problem solving, this course has been specifically designed to use your existing experience and combine it with a range of new research and practical experiences to enable you to gain the skills to exceed your personal professional objectives.
As part of this course you will also undertake considerable practical work experience which is a unique opportunity designed to expand your knowledge and network base, while simultaneously strengthening your ability to meet the intricate demands of the information and telecommunications industries.
Towards the end of the course you will also get the chance to undertake a major research project, allowing you to create and implement high-quality information systems for use in a real-life practical situation.
This course has been specifically designed to help you graduate with advanced knowledge and skills to confidently and competently assume a senior position within your specialisation – regardless of whether you have chosen a network or software engineering pathway.
Study a Master of Engineering at UC and you will:
gain an advanced understanding of the specialisation (either network engineering or software engineering) including the principles to design, develop, operate and evaluate systems
demonstrate a conceptual and comprehensive understanding of mathematics, electronics and signal processing
design, implement and evaluate software engineering/network engineering projects which address contemporary and complex issues
distinguish which engineering principles are appropriate to use in the solution of complex technological (software/networking) problems
creatively apply relevant theories and techniques of data communication networks or software engineering to the interpretation, analysis and solution of technological problems
build stronger industry networks
graduate with a globally recognised and respected degree
Work Integrated Learning (WIL)
Work-integrated learning (WIL) is an integral component of the UC Master of Engineering course as it offers students the opportunity to gain valuable hands-on experience and build professional relationships through real-work, or work-like placements.
To help encourage on the job learning, UC works hard to foster close industry connections with professional organisations, and as a result, can offer unrivalled access to industry partners with both the knowledge and resources to provide top level work placement positions and training opportunities.
As part of your studies you will be required to undertake a minimum of 12 weeks of professional work placement. Previous interships have taken placement at professional organisations such as: Intelledox, Omni Executive, Pursuit Technology, Qirx, Fujitsu Australia, Birdsnest, Agsafe, ThoughtPatterns Consulting, ESKAPEE, HydroAlgorithmics, ALLBIDS, VerveEd.com, Emanate Technology, Xero Australia and the Australian Taxation Office.
In your final year, you will also get to complete a capstone research project, producing and implementing a real-world engineering solution for a local business, government or community organisation.
The UC Master of Engineering is an advanced degree that is both globally recognised and industry respected. UC’s unique connections within the industry also means that students tend to establish strong, authentic professional relationships long before they actually graduate. This close connection often means that students stand out from the competition and have a higher chance of moving into a career in any one of the following careers:
Software and hardware programmer
Network and systems administrator
IT project manager
Business or systems analyst
IoT (Internet of Things) specialist
ICT security engineer
Software and network engineering consultant
Artificial intelligence and machine learning engineer
Applicants need to have completed a four-year Bachelor of Engineering degree (or equivalent), or a three-year bachelor’s degree accredited by Engineers Australia at a Technologist level (or equivalent), or have completed the following University of Canberra degrees:
- Bachelor of Information Technology
- Bachelor of Software Engineering
- Bachelor of Science with a major in either Software Engineering or Network Engineering.
Accreditation with Engineers Australia at Professional Engineer level is being pursued.
Accreditation with Engineering Australia at Professional Engineer level is being pursued.
A 4 year Bachelor of Engineering degree or equivalent, or a 3 year bachelor degree accredited by Engineers Australia at Technologist level or equivalent. Or, graduates from the following University of Canberra degrees: Bachelor of Information Technology, 322AA; or Bachelor of Software Engineering, 560AA; or Bachelor of Science, 392AB with Major in Software Engineering or Network Engineering.
Information on admission closing dates can be found here.
Notes for Domestic Applicants
Commonwealth Supported Places (CSPs) for this course are limited. If you wish to be considered for a CSP for 2021, you will need to apply for admission before midnight Sunday 8 November 2020.
English Language Requirements
Academic IELTS of 6.5 or equivalent, with no band score below 6.0
Information for Fee Paying Students
|2021||CSP/Domestic Tuition Fee (see below)||$32,000|
The fees detailed above are the annual fee rates for the course. The annual rate is the fee that applies to standard full-time enrolment, which is 24 credit points. The final fee charged is based on the proportion of 24 credit points in which a student enrols. Students enrolled in a Commonwealth Support Place (CSP) are required to make a contribution towards the cost of their education, which is set by the Commonwealth Government. Information on Commonwealth Supported Places, HECS-HELP and how fees are calculated can be found here.
|Year||CSP Places Available||Eligible for Student
Income Support (Centrelink)
Typical Study Pattern
UC - Canberra, Bruce
Standard Full Time, Semester 1 Commencing
- Print this Study Pattern
- Semester 1
- Semester 2
- Year 2
Standard Full Time, Semester 2 Commencing
- Print this Study Pattern
- Year 1
- Year 2
- Year 3
- Standard Full Time, Semester 1 Commencing
- Master of Engineering (48 credit points)
Required - Must pass 33 credit points as follows
- 6797 - Inf. Sc. Research Methodology PG - 3 cp, Level P
- 9784 - Technology and Engineering Management PG - 3 cp, Level P
- 10088 - Introduction to Network Engineering G - 3 cp, Level G
- 10089 - Embedded Systems G - 3 cp, Level G
- 10091 - Electronics Systems G - 3 cp, Level G
- 10093 - Signals and Systems G - 3 cp, Level G
- 10095 - Digital Signal Processing G - 3 cp, Level G
- 10096 - Introduction to Computer Engineering G - 3 cp, Level G
- 10097 - Professional Practice in Engineering G - 3 cp, Level G
- 10098 - Engineering Project PG - 6 cp, Level P
- 10136 - Engineering Work Experience PG - 0 cp, Level P
- A minimum of 12 weeks of professional experience must be completed. Students must enrol and complete Engineering Work Experience PG, 10136, for the purposes of recording and assessment.
- Restricted Choice - Must pass 3 credit points from the following
- Students may seek permission to replace the required and restricted-choice units by writing a report detailing previous experience or study. Permission is at the discretion of the Course Convener.
Award Options - Must select 1 of the following
- Master of Engineering (Network Engineering) - Must pass 12 credit points from the following
Master of Engineering (Software Engineering) - Must pass 12 credit points from the following
- 6684 - Object Oriented Software Design PG - 3 cp, Level P
- 6693 - Client-Server Computing PG - 3 cp, Level P
- 7108 - Graphics Visualisation Techniques PG - 3 cp, Level P
- 7191 - Game Programming Techniques PG - 3 cp, Level P
- 7197 - Soft Computing PG - 3 cp, Level P
- 7900 - Information Sciences Internship PG - 3 cp, Level P
- 8697 - Data Analytics and Business Intelligence PG - 3 cp, Level P
- 8890 - Computer Vision and Image Analysis PG - 3 cp, Level P
- 8891 - Programming Natural User Interfaces PG - 3 cp, Level P
In addition to course requirements, in order to successfully complete your course you may need to meet the inherent requirements. Please refer to the inherent requirements statement applicable to your course.
Standard 4 semesters full-time or equivalent. Maximum 12 semesters.
Unit Delivery Modes
Each unit within your course may be offered through the following delivery modes:
UC - Canberra, Bruce
|Placement:||The unit involves an internship, practicum or other work place experience program. Some on-campus, face to face activity may also be required.|
|On Campus:||The unit is delivered on-campus and face to face, supplemented with online content. Most classes are run on weekdays and during business hours.|
|Online:||The unit is studied completely online. On-campus, face to face interaction is not required.|
Check how each of your units are delivered in the Course Requirements section.
|2021||UC - Canberra, Bruce||Semester 1
|2022||UC - Canberra, Bruce||Semester 1
|2023||UC - Canberra, Bruce||Semester 1
|Master of Engineering (Software Engineering)||ME (SE)|
|Master of Engineering (Network Engineering)||ME (Network E)|
Alternate Exit Awards
- Graduate Diploma in Computing Engineering
- Graduate Certificate in Computing Engineering
Related Courses (Double Degrees, Nested Courses and Alternative Exits)
Graduate Certificate in Computing Engineering, Graduate Diploma in Computing Engineering