MC271 - Master of Artificial Intelligence
Plan: MC271 - Master of Artificial Intelligence
Campus: City Campus
Overview
Program detailsPurpose of the Program
Articulation and pathways
Entrance requirements
External accreditation and industry links
Student expenses and charges in addition to fees
Library, IT and specialist resources
Program details
Award title: Master of Artificial Intelligence
Award abbreviation: Master of AI
Total credit points: 192
Career: PGRD
Duration: 2 years full-time (International), 2 years full-time or 4 years part-time (Domestic)
Location: Onshore, City Campus
Owning school: Computing Technologies (175H)
Owning school URL: www.rmit.edu.au/about/schools-colleges/computing-technologies
ASCED code: 020119
CRICOS code: 0100716
Purpose of the Program
The Master of Artificial Intelligence program is designed for university graduates of a non-computing degree and/or recent industry experience in a non-computing field. Your background may range from having few computing skills, to having a partial or less "hands-on" software-oriented computer science background.
This program provides breadth of high-level computing knowledge as well as depth in Artificial Intelligence (AI) and the design and implementation of AI Systems. We are in an era of rapid technological change which will increasingly see AI computer systems take over control and decision making in diverse areas and driving economic growth, public policy and corporate strategy. This program will prepare you for a career as an AI Professional in this emerging area. You will be able to apply advanced AI knowledge in a range of contexts for professional practice or scholarship and also as a pathway for further learning. Job titles for AI professionals are very diverse, for example: AI engineer, Machine Learning engineer, business intelligence developer, research scientist and web analyst.
You will undertake a capstone course, either from the project or research streams of the program, respectively: COSC2777 Artificial Intelligence Postgraduate Project, or COSC2179 Minor Thesis / Project. The capstone project course provides you with hands on practical experience of an AI development project. The emphasis is on understanding and working within a corporate environment and integrating all the skills and knowledge that you have acquired from your previous courses into a solid base to progress from into your professional life. The capstone research course enables you to undertake a higher degree by research path, substituting the capstone project with a research minor thesis enabling your research career.
The program is primarily delivered on campus. Some courses may be delivered online.
Top of pageArticulation and pathways
Articulation:
Students with relevant studies in computer science, information technology, software engineering, data science, analytics or statistics will be eligible for advanced standing as follows:
Qualification level |
Advanced Standing |
Remaining Program Duration |
---|---|---|
Bachelor's degree Graduate Certificate (AQF Level 7 or equivalent) |
Up to 48 credit points (equivalent to one semester full time study) depending on the courses previously studied |
Minimum of 144 credit points (equivalent to three semesters full- time study) |
Bachelor's degree (Honours) Graduate Diploma Master PhD (AQF Level 8 or higher) |
Up to 96 credit points (equivalent to two semesters full time study) depending on the courses previously studied |
Minimum of 96 credit points (equivalent to two semesters full- time study) |
For example, students who have successfully completed BP094 Bachelor of Computer Science or BP096 Bachelor of Software Engineering degree from RMIT University will be granted 48 credit points of advanced standing. For all other students, advanced standing will be determined on a case-by-case basis.
Pathways:
Upon successful completion of this program, you may be eligible to undertake further studies in related programs at RMIT University, including MR221 Master of Computer Science (Research) and DR221 PhD in Computer Science, subject to each program's entry requirements.
Top of pageEntrance requirements
Program Entry Requirements:
An Australian bachelor's degree or equivalent with a grade point average (GPA) of at least 2.0 out of 4.0, in one of the following disciplines: computing, science, engineering, health or statistics.
OR
You may also be considered if you have an Australian bachelor's degree or equivalent with a GPA of at least 2.0 out of 4.0 in another discipline and relevant completed higher education courses in programming and statistics or a minimum three years of current, relevant work experience or professional practice in programming and statistics or equivalent. These applications will be assessed on a case-by-case basis.
English Language Requirements:
English Language requirement: English IELTS language test score of 6.5 with no band less than 6.0 or equivalent, such as TOEFL (Paper based) = 580+ (TWE 4.5+), or TOEFL (Computer based) = 237+ (TWE 4.5+) or REW English for Academic Purposes Advanced 1&2
Top of pageExternal accreditation and industry links
External Accreditation
The Master of Artificial Intelligence is conditionally provisionally accredited at a professional level by the Australian Computer Society, which accredits Information and Communication Technology related programs that are offered by Australian universities, both onshore and offshore.
Industry Links
Computer Science and Information Technology within the School of Computing Technologies has substantial links with ICT industry, both within Australia and internationally through Industry Advisory Committees (IACs), research projects, consulting, and industry-sponsored design projects. Membership of these committees includes industry executives and past graduates from the school. Industry involvement ensures that our programs remain relevant to your needs as a graduate and to the needs of graduate employers, by providing feedback on the currency of the program, and the changing needs of industry.
Top of pageStudent expenses and charges in addition to fees
Once you are enrolled as a student in this program you will need to allow for expenses other than university tuition fees. Additional expenses may relate to the purchase of lecture notes, textbooks, stationery, consumables such as printer paper, fees levied by commercial internet service providers for internet access outside of the university campus, and other relevant costs.
Top of pageLibrary, IT and specialist resources
Resources available from the Library
As a student enrolled in a program at RMIT University you can access the extensive services, facilities and study space provided by the Library. You can access books, journals and other course-related materials, such as DVDs, past exams, newspapers and e-books. Through our document delivery service, you can also request items from any library in the world.
Computers for study are available at every Library site, where you can access the Internet, myRMIT http://www.rmit.edu.au/myrmit or Library e-resources. If you have a laptop, you can access the RMIT wireless network in the Library.
Library staff can show you how to find information for your assignments or you can work through web- based tutorials or use our online Ask a Librarian service.
The Library is continually expanding our electronic collections to make it easier for you to get the information you need when you need it. All RMIT students have unlimited access to quality electronic resources such as e-books, e-journals and newspapers.
You can find more information on Library resources and services at: http://www.rmit.edu.au/library including specific resources for computer science: http://rmit.libguides.com/compsci.
Online learning tools and content
As a student in this program, you may access online learning tools and content for your program and associated courses from the student portal, myRMIT http://www.rmit.edu.au/myrmit.
Learning services available to you as a student at RMIT
RMIT provides a wide range of resources and opportunities to assist your learning and wellbeing so you can achieve your study and career goals.
Services are available face to face and online assisting with:
transition to tertiary study and learning
study skills, academic skills including literacy, mathematics and basic sciences if relevant
enabling assistance if you have a disability, long term medical condition or other form of disadvantage which may impact on your learning
career development and employment
living and wellbeing (including advice on health, housing and financial matters)
opportunities for scholarships, leadership and study abroad
opportunities for participating in arts, sport, recreation, fitness activities as well as student activism and university governance
We also offer a friendly and supportive environment for Aboriginal and Torres Strait Islander students. You can find more information at: https://www.rmit.edu.au/students/support-and-facilities/student-support/aboriginal-and-torres-strait-islander-students
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