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Ranked 61st globally for engineering and technology by the 2020 QS University Rankings by Subject
Our graduates are ranked 1st in Australia and 4th globally for employability by the 2020 QS Graduate Employability Rankings
In response to COVID-19, the University of Sydney has reviewed the availability of courses to be delivered remotely for students commencing their studies in Semester 1, 2021.
This course will be available to study remotely for students commencing in Semester 1, 2021. Please note that some units of study that are not essential to completing the degree may not be available to be studied remotely.
Note: The University intends to offer as many units of study as possible in a remote as well as face-to-face learning method of delivery in Semester 1, 2021 and subject to ongoing border closures and public health orders impacting attendance on campus, in Semester 2, 2021. However, some units of study and courses require students to study in-person at the relevant University of Sydney campus/es and host locations for placements and will not be available remotely.
About this course
The Master of Professional Engineering (Accelerated) is the ideal two-year full-time degree for those engineers who have previously graduated with an undergraduate engineering degree in a related field seeking recognised accreditation to practice in Australia and overseas.
Please note that the degree to be conferred will be the Master of Professional Engineering.
In the last decade, we have seen the surge of intelligence being used in information engineering for a wide range of domains, such as smart city, advanced manufacturing, automatic driving, 5G and Internet of things, virtual reality and augmented reality, etc.
The major in intelligent information engineering builds on foundations in mathematics, electrical engineering and basic computer and software engineering principles, and focuses on teaching students the latest technologies in information engineering such as machine learning and artificial intelligence (AI), video and speech recognition, multimedia and sensory signal processing.
This major aims to offer a comprehensive program with state-of-the-art intelligent information engineering technologies.
The courses offered span three key areas: telecommunication, electrical and electronic engineering, and computer and software engineering, with an emphasis on intelligent information processing technologies.
For academic requirements check the ‘Admission requirements’ section on this page.
You can apply online via the application portal. When you are ready to apply, select the ‘Apply’ button on this course page. Visit the How to apply page for other important information.
Semester 1 - 11 February of the commencing year
Semester 2 - 15 July of the commencing year
We strongly encourage applicants to apply as early as possible, offers are made on a rolling basis and places are limited. Separate scholarship deadlines apply - check the scholarships website for details.
Semester 1 (March) or Semester 2 (August)
You can apply online via the application portal. When you are ready to apply, select the ‘Apply’ button on this course page. Visit the How to apply page for other important information.
Semester 1 - 31 January of the commencing year
Semester 2 - 30 June of the commencing year
We strongly encourage international applicants to apply as early as possible to allow time for visa and travel arrangements. Separate scholarship deadlines may apply - check the scholarships website for details.
Semester 1 (March) or Semester 2 (August)
Mandatory work component = 420 hours.
This mandatory work component must be completed as part of the award requirements for the course.
This will usually be undertaken over 12 weeks and will provide you with an opportunity to gain industry exposure within an engineering environment.
To be eligible for admission, an applicant is required to have:
- an Australian Bachelor of Engineering degree with a 65 percent average, or equivalent qualification, in a related field of engineering to which the student is applying.
For qualifications awarded outside Australia, equivalencies and entry requirements are determined based on the country, institution and qualification.
For more information about the University’s credit policy, please see the Credit for Previous Studies page.
Graduate students will be equipped with knowledge of advanced technologies, such as AI, deep learning, information/signal processing and embedded systems, hence be capable to pursue the career in a wide range of engineering domains, as well as IT companies like Google and Facebook, who are eagerly looking for talents in such areas.
