Master of Science
2022 Deakin University Handbook
| Year | 2022 course information |
|---|---|
| Award granted | Master of Science |
| Campus | |
| Cloud Campus | Yes |
| Duration | 2 years full-time or part-time equivalent |
| CRICOS course code | 070237K Burwood (Melbourne), Waurn Ponds (Geelong) |
| Deakin course code | F873 |
| Approval status | This course is approved by the University under the Higher Education Standards Framework. |
| Australian Qualifications Framework (AQF) recognition | The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9. |
Course sub-headings
Course overview
A full-time member of the academic staff in The Applied Artificial Intelligence Institute (A²I²), experienced in research, will be appointed as supervisor for each student in the Master of Science - Information Technology. Associate supervisors, internal or external, may be appointed to assist the principal supervisor. Students may be required to meet certain attendance requirements and will be required to complete a thesis embodying the results of research carried out in the field of study specified at the time of enrolment. Students will be referred to prospective supervisors in order to establish a possible research project.
To qualify for a Master by Research, students must demonstrate an advanced and integrated understanding of a complex body of knowledge in one or more discipline areas by generating an substantial contribution to knowledge through the use of appropriate research principles and methods. This is in the form of a thesis of up to 50,000 words in length which will be assessed via an external examination. Although the focus of the degree is on research, students are also required to complete a minimum of one unit of coursework.
Participation requirements
Reasonable adjustments to participation and other course requirements will be made for students with a disability. Click here for more information.
Course Learning Outcomes
| Deakin Graduate Learning Outcomes | Course Learning Outcomes |
| Discipline-specific knowledge and capabilities | Demonstrate an advanced and integrated understanding of a complex body of knowledge in one or more discipline areas by generating substantial contribution to knowledge through the use of appropriate research principles and methods. |
| Communication | Demonstrate autonomy, expert judgement, adaptability, initiative, resilience and responsibility as a practitioner or learner. |
| Digital literacy | Demonstrate an advanced and integrated understanding of a complex body of knowledge in one or more discipline areas by generating substantial contribution to knowledge through the use of appropriate research principles and methods |
| Critical thinking | Apply critical analysis and reflection to ethically research, synthesize and evaluate complex information, problems, concepts, interpretations and theories to demonstrate cognitive and technical skills in a body of knowledge or practice. Effectively disseminate research outcomes to a variety of audiences using highly developed communication skills and work productively within a team of experts in the field. |
| Problem solving | Apply critical analysis and reflection to ethically research, synthesize and evaluate complex information, problems, concepts, interpretations and theories to demonstrate cognitive and technical skills in a body of knowledge or practice. Effectively disseminate research outcomes to a variety of audiences using highly developed communication skills and work productively within a team of experts in the field. |
| Self-management | Demonstrate an advanced and integrated understanding of a complex body of knowledge in one or more discipline areas by generating substantial contribution to knowledge through the use of appropriate research principles and methods. |
| Teamwork | Apply critical analysis and reflection to ethically research, synthesize and evaluate complex information, problems, concepts, interpretations and theories to demonstrate cognitive and technical skills in a body of knowledge or practice. Effectively disseminate research outcomes to a variety of audiences using highly developed communication skills and work productively within a team of experts in the field. |
| Global citizenship | Demonstrate autonomy, expert judgement, adaptability, initiative, resilience and responsibility as a practitioner or learner. |
Approved by Faculty Board 7 June 2018
Other course information
Course duration - additional information
Course duration may be affected by delays in completing course requirements, such as accessing or completing work placements.
Further information
Information on the Applied Artificial Intelligence Institute (A²I²)
For all general enquiries, please Browse HDR contacts