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Overview

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

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.

Our Master of Professional Engineering, majoring 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.

The major aims to offer a comprehensive program with state-of-the-art intelligent information engineering technologies. The courses offered span in three key areas: telecommunication, electrical and electronic engineering, and computer and software engineering, with an emphasis on intelligent information processing technologies. 

Subject areas
Shared pool

Entry, fees, funding & how to apply

Depends on your qualification, citizenship status
The details on this page based on your selections are a guide only, and are subject to change.

Your entry requirements

English language proficiency

Find out if you need to prove English language proficiency (depends on your country of origin and educational background).

For academic requirements check the ‘Admission requirements’ section on this page.

Your fee

Your funding & scholarships

How to apply

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. 

Standard closing dates:

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.

Starting date

Semester 1 ( February) 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. 

Standard closing dates:

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.

Starting date

Semester 1 (March) or Semester 2 (August)

What you'll study

Study plan for this course

Candidates for the Master of Professional Engineering (Intelligent Information Engineering) complete 144 credit points.

Units of Study

Work component

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.

Admission criteria

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 or

- an Australian bachelor's degree in a non-Engineering discipline with a 65 percent average, with studies equivalent to 48 credit points (equivalent to 1 year full time study load) in mathematics, physics, chemistry, biology, geology, computing or statistics, as related to the stream sought for admission.

For qualifications awarded outside Australia, equivalencies and entry requirements are determined based on the country, institution and qualification.

Fast-track your Master's

- If you have the equivalent of an Australian Bachelor of Engineering degree with a 65 percent average in an unrelated specialisation, or a Bachelor of Science or similar (in a related discipline), you may be eligible for a Reduced Volume of Learning (RVL) of up to 24 credit points or 1 semester.

- If you have an equivalent of an Australian Bachelor of Engineering degree with a 65 percent average in a related specialisation, please apply for the relevant two-year Master of Professional Engineering (Accelerated) degree.

- If you have a postgraduate engineering degree with a 65 per cent average in a related specialisation, you may be eligible for RVL of up to 72 credit points or 1.5 years.

Applying for RVL/Credit:

To be assessed for RVL/Credit, you are required to indicate in your application for admission that you would like to apply for credit. You will then receive an email with instructions on how to submit your application for credit. If you receive an offer of admission, the outcome of your credit application will be included in your letter of offer. For information on RVL and degree requirements visit CUSP.

Career pathways

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.

 
Future study options

The University of Sydney is a research intensive institution with a strong track record of technology transfer, industry leadership and commercialisation. Research activities in the faculty focus on a wide range of areas from aerospace, biomedical, combustion, processing and manufacture, design, robotics, electronics, networks, wireless and satellite systems. If you would like to be part of Sydney's engineering research community, you may consider applying for admission to a research degree. Students completing a Master of Professional Engineering program with excellent average marks are eligible to undertake supervised research in the degree of Master of Philosophy or Doctor of Philosophy.

Domestic students

International students

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