This course will enable computer science students to develop competencies expected of professionals working in business, government or the broader community. A list of available internship opportunities will be maintained for which students can apply. A holistic selection process will be used to select the best applicant for each opportunity. Students can also propose internships, but these will always be established following negotiations between the ANU and the potential host organisations, before being offered to students along with other opportunities.
Additional source review: awaiting review. Published wording is shown below.
Some conditions may need additional evidence or clarification. These are prototype interpretations, not ANU decisions or degree-completion checks.
Requisite and Incompatibility
To enrol in this course you must: Be enrolled in the Master of Computing (MCOMP) or Master of Machine Learning and Computer Vision (MMLCV) and have successfully completed: COMP6442 and (COMP8280 or COMP6250 or COMP8260) Incompatible with COMP8715 and COMP8755 and COMP8800. You will need to undergo competitive entry to enrol in this course.
You will need to contact the School of Computing to request a permission code to enrol in this course.
Referenced entries (7)
Links and code mentions retain their original context above. They may describe options, prerequisites or exclusions.
- COMP6442 · 2027
- COMP8280 · 2027
- COMP6250 · 2027
- COMP8260 · 2027
- COMP8715 · 2027
- COMP8755 · 2027 · saved source not linked
- COMP8800 · 2027
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Demonstrate a personal commitment to ethical behaviour, competent practice, meeting legal and regulatory requirements, taking responsibility for their own work and acknowledging the work of others.
Demonstrate autonomy, adaptability, a commitment to safety and sustainability, appropriate engagement with relevant stakeholders, and an ability to identify, assess and manage risk.
Communicate effectively and work productively in a trans-disciplinary team, using initiative and sound judgement, to achieve defined workplace objectives.
Apply their knowledge and skills in computer science to explore and critically analyse a real-world problem; using creativity and innovation, identify and critically evaluate potential solutions to the problem; choose and implement a particular solution; and critically evaluate and analyse the outcomes and impact of this solution.
Demonstrate an understanding of lifelong learning processes, and clarification of their personal and professional goals, through critical reflection on their internship experience.
Published offerings
Future offerings are indicative. Only recognised 2027 sessions with a published class number are offered in the enrolment demo.
| Year | Session | Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|---|---|
| 2027 | First Semester | 5067 | 22 Feb 2027 | 01 Mar 2027 | 31 Mar 2027 | 28 May 2027 | In Person | N/A |
| 2027 | Second Semester | 10082 | 26 Jul 2027 | 02 Aug 2027 | 31 Aug 2027 | 29 Oct 2027 | In Person | N/A |
| 2028 | First Semester | 6472 | 21 Feb 2028 | 28 Feb 2028 | 31 Mar 2028 | 26 May 2028 | In Person | N/A |
| 2028 | Second Semester | 10843 | 24 Jul 2028 | 31 Jul 2028 | 31 Aug 2028 | 27 Oct 2028 | In Person | N/A |
Complete offering text
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage. The list of offerings for future years is indicative only. Class summaries, if available, can be accessed by clicking on the View link for the relevant class number. 2027 2028 First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 5067 22 Feb 2027 01 Mar 2027 31 Mar 2027 28 May 2027 In Person N/A Second Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 10082 26 Jul 2027 02 Aug 2027 31 Aug 2027 29 Oct 2027 In Person N/A First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 6472 21 Feb 2028 28 Feb 2028 31 Mar 2028 26 May 2028 In Person N/A Second Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 10843 24 Jul 2028 31 Jul 2028 31 Aug 2028 27 Oct 2028 In Person N/A
Source evidence (1 saved copy)
Matching copies share this record. Their original file locations and checksums are retained.
assets/Courses/Remained/8000/Computing Internship/Computing Internship - ANU.html
Published ANU page · canonical URL in the saved page
SHA-256: 4e959e38a2ad15d7c83d35eee593a0f7151503241567340dc9eb48889cf97222