About Engineering Internship

The Engineering Internships are offered as an elective course (ENGN3200/ENGN6200) for undergraduate and postgraduate ANU Engineering students. ENGN6200 can be taken as a restricted choice (12 units) course for the Master of Machine Learning and Computer Vision (MMLCV) pre-2022 students.

How to enrol in ENGN3200/6200 Engineering Internship?

Please refer to the flowchart below to apply for enrolment in ENGN3200/6200.

ENGN3200/6200 Enrolment Application Process

Counting the same work placement towards both ENGN3200 and ENGN3100

Work hours undertaken for ENGN3200 Engineering Internship can be counted towards ENGN3100 Practical Experience requirements. However, you do still need to submit a report and required evidence for ENGN3100.

To understand what you need to do, see How to claim work experience completed in ENGN3200 towards ENGN3100.

FAQ

What are the requirements for the Workplace Supervisor?

The Supervisor must be a suitably qualified engineer/software engineer. This is a person who either in Australia or overseas:

(1) is registered to practice engineering with a relevant professional body or has obtained a tertiary degree in an engineering discipline; and

(2) is currently working in Australia, in a suitable engineering related role; and

(3) has substantial (>5 years) experience working as an engineer.

Please contact the course convenor (Dr Xiaolin (Shannon) Wang xiaolin.wang@anu.edu.au) if you have any further question on the supervision requirement.

Who to contact for further advice?

To discuss Engineering Internship, please get in touch with:

Additional resources

Information Session Recording

Watch our Semester 1 2025 Information Session video, where the ENGN3200 enrolment process is covered in the second half. Here are the slides.

Resume Writing & Applications Workshop

Resume Writing & Applications Workshop: Preparing Your Engineering Internship Application**. Please find the Workshop slides here. For recording, please see here.

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