This degree provides solid AI foundations, a broad knowledge of AI technologies and skills to develop sound research skills appropriate to the AI discipline.
Be the breakthrough
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.
Start your unlimited journey today.
Upon completion of this program, students will be gaining employment opportunities in:
- Information technology
- Software engineering
- Automation industries with a strong AI focus
Solution architects build and integrate information and computer systems that meet specific needs. This typically involves integrating the software and hardware that will best meet the purpose defined by a customer.
Data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to businesses.
As a Data Scientist you will analyse data and extract meaning from it. This includes working with unstructured and structured data, data cleansing and data preparation.
Machine Learning Specialist
A Machine Learning Specialist develops Machine learning, a branch of computer science that focuses on developing algorithms which can “learn” from or adapt to the data and make predictions.
Big Data Machine Learning Specialist
Big data machines learning provides the volume and variety of data needed to make increasingly better and more efficient “decisions” in the performance of tasks within an enterprise.
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*The tuition fees quoted above are the fees for the normal full-time study load of the program (80 credit points) per annum. International students will be subject to a variable fee regime; i.e. enrolled students will be required to pay fees during their program based on the approved fee for each calendar year. Fee changes (if any) will occur at 1 January each calendar year. Students who extend their program past the normal finish date of the program will be required to pay additional fees based on the prevailing fee level. Western Sydney University is a multi-campus institution. The University reserves the right to alter the location of its programs between campuses and other locations as necessary. Students should be aware of the possibility of change of location for the whole or part of programs for which they enrol and should plan for the need to travel between Western Sydney campuses.
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