Master of Artificial Intelligence (Research) (8128)
- Approved Abbreviation: MAI(Res)
- Western Sydney University Program Code: 8128
- AQF Level: 9
CRICOS Code: 108298B
Students should follow the program structure for the session start date relevant to the year they commenced. This program applies to students who commenced in Spring 2022 or later.
The Master of Artificial Intelligence (Research) exposes students to advanced topics and research in Artificial Intelligence (AI). The program is comprised of an extensive coursework component that is then followed by a full-time-equivalent year of supervised AI research training. The primary objective of this program is to provide students with an opportunity to establish solid AI foundations and broad knowledge of AI technologies and applications and to develop sound research skills appropriate to the AI discipline. It also provides a pathway to PhD research studies by engaging students in AI research projects within the university or in collaboration with external industry partners. Upon completion of this program, students will be gaining employment opportunities in IT, software engineering, and automation industries with a strong AI focus.
Study Mode
Two and a half years full-time and five years part-time.
Location
Campus | Attendance | Mode | Advice |
---|---|---|---|
Parramatta - Victoria Road Campus | Full time | Internal | Professor Yan Zhang |
Parramatta - Victoria Road Campus | Part time | Internal | Professor Yan Zhang |
Accreditation
Accreditation of the Master of Artificial Intelligence (Research) will be sought from the Australian Computer Society. The program is designed to meet the guidelines of the Australian Computer Society.
To be eligible for admission, you must have successfully completed
- A Bachelor Honours degree or a Master degree in any discipline, or a Bachelor degree in Information Technology, Information Systems or Computer Science or equivalent. Degrees in other disciplines containing at least 8 units in Information Technology or other relevant disciplines such as data science, engineering, communications technology, may also be eligible.
- Achievement of a threshold Admission Average Mark (AAM) equal to or above the minimum of 65;
- Applicants who do not meet the AAM equal to or above the minimum of 65 will be considered in exceptional circumstances, and applicants whose most recent qualification is 5+ years old shall provide additional evidence of relevant work experience or professional training, or evidence of seniority and standing in an area of endeavour and provide written support from the potential supervisor. Examples of evidence may include; work as a research assistant or laboratory technician, the writing of policy, consultancy involving the writing of reports, production of creative output, and publication of peer reviewed journal articles. Applications will be reviewed and approved by the relevant Director and the Dean of the School.
Applicants seeking admission on the basis of work experience must support their application with a Statement of Service for all work experience listed on the application.
Applications from Australian and New Zealand citizens and holders of permanent resident visas may be made via the Universities Admissions Centre (UAC) or directly through the Western Portal. Use the links below to apply via UAC or Western Sydney University. Applications made directly to Western Sydney do not have an application fee.
http://www.uac.edu.au/
https://westernsydney.uac.edu.au/ws/
Applicants who have undertaken studies overseas may have to provide proof of proficiency in English. Local applicants who are applying through the Universities Admissions Centre (UAC) will find details of minimum English proficiency requirements and acceptable proof on the UAC website. Local applicants applying directly to the University should also use the information provided on the UAC website.
All other International applicants must apply directly to the University via the International Office.
International students applying to the University through the International Office can find details of minimum English proficiency requirements and acceptable proof on their website.
Overseas qualifications must be deemed by the Australian Education International - National Office of Overseas Skills Recognition (AEI-NOOSR) to be equivalent to Australian qualifications in order to be considered by UAC and Western Sydney University.
Additional Information
To be eligible for up to 40 credit points of advanced standing, you must have successfully completed
- An undergraduate degree in Information and Communication Technologies (ICT), Computing or Information Systems; or
- An undergraduate degree in any discipline and a Graduate Certificate or Graduate Diploma in Information and Communication Technologies (ICT).
Advanced standing from foundation subjects are subject to approval by the relevant Director of Academic Programs (DAP).
Qualification for this award requires the successful completion of 200 credit points as per the recommended sequence below.
Full-time start-year intake
Year 1 | Credit Points | |
---|---|---|
1H session | ||
HUMN 4001 | Researcher Development 1: Reading ,Writing, and the Business of Research | 10 |
HUMN 4003 | Writing Beyond the Academy: Knowledge Translation and Public Audience Communication | 10 |
Credit Points | 20 | |
Autumn session | ||
COMP 7022 | Natural Language Understanding | 10 |
COMP 7019 | Applied Machine Learning | 10 |
Credit Points | 20 | |
2H session | ||
HUMN 4002 | Researcher Development 2: Proposing and Justifying Research | 10 |
Credit Points | 10 | |
Spring session | ||
INFO 7002 | Advanced Topics in Artificial Intelligence | 10 |
COMP 7020 | Artificial Intelligence Ethics and Organisations | 10 |
INFO 7016 | Postgraduate Project A | 10 |
Credit Points | 30 | |
Year 2 | ||
Autumn session | ||
INFO 7017 | Postgraduate Project B | 10 |
Select three subjects from the Alternate Subject List (see below) | 30 | |
Research Quarter 3 & 4 sessions | ||
Please note COMP 9003 is a year-long subject studied in Research Quarters, 20cp per Quarter | 40 | |
Higher Degree Research Thesis - Artificial Intelligence | ||
Credit Points | 80 | |
Year 3 | ||
Research Quarter 1 & 2 sessions | ||
Please note COMP 9003 is a year-long subject studied in Research Quarters, 20cp per Quarter | 40 | |
Higher Degree Research Thesis - Artificial Intelligence | ||
Credit Points | 40 | |
Total Credit Points | 200 |
Full-time mid-year intake
Year 1 | Credit Points | |
---|---|---|
2H Session | ||
HUMN 4001 | Researcher Development 1: Reading ,Writing, and the Business of Research | 10 |
Spring Session | ||
INFO 7002 | Advanced Topics in Artificial Intelligence | 10 |
COMP 7020 | Artificial Intelligence Ethics and Organisations | 10 |
INFO 7016 | Postgraduate Project A | 10 |
1H Session | ||
HUMN 4002 | Researcher Development 2: Proposing and Justifying Research | 10 |
HUMN 4003 | Writing Beyond the Academy: Knowledge Translation and Public Audience Communication | 10 |
Autumn Session | ||
COMP 7022 | Natural Language Understanding | 10 |
COMP 7019 | Applied Machine Learning | 10 |
Credit Points | 80 | |
Year 2 | ||
Spring session | ||
INFO 7017 | Postgraduate Project B | 10 |
Select three subjects from the Alternate Subject List (see below) | 30 | |
Research Quarter 1 & 2 sessions | ||
Please note COMP 9003 is a year-long subject studied in Research Quarters, 20cp per Quarter | 40 | |
Higher Degree Research Thesis - Artificial Intelligence | ||
Credit Points | 80 | |
Year 3 | ||
Research Quarter 3 & 4 sessions | ||
Please note COMP 9003 is a year-long subject studied in Research Quarters, 20cp per Quarter | 40 | |
Higher Degree Research Thesis - Artificial Intelligence | ||
Credit Points | 40 | |
Total Credit Points | 200 |
Alternate Subject List
Subject | Title | Credit Points |
---|---|---|
Select three of the following | ||
COMP 7021 | Knowledge Representation and Reasoning | 10 |
COMP 7003 | Big Data | 10 |
COMP 7004 | Cloud Computing | 10 |
INFO 7015 | Applied Cybersecurity | 10 |
COMP 7007 | Information Security Management | 10 |
COMP 7006 | Data Science | 10 |
COMP 7008 | Internet of Things | 10 |
INFS 7008 | Systems and Network Security | 10 |
COMP 7011 | Multimedia Communication Systems | 10 |
COMP 7017 | Wireless Networking | 10 |