| Course Name: | Masters of Artificial Intelligence |
| Course Institution: | RMIT University |
| Course Department: | School of Business IT and Logistics |
| Course Duration: | 24 month(s) |
| Course Fee: | INR 3600000 |
| Course Mode: | full time regular classroom |
| Course Location(country): | Australia |
| Course Location(city): | Melbourne |
| Course Level: | Masters |
Masters of Artificial Intelligence(AI) at The Royal Melbourne Institute of Technology(RMIT), Austalia, aims to teach students the design and implementation of applications and systems in high-tech resources
Students opting for this course have to choose between two options:
- Project Stream: In this stream, students have to complete an AI postgraduate project. They also have to choose two electives in each IT and AI.
- Research Stream: Students have to complete a research methods module and write a minor thesis in this stream. They also have to choose two AI electives and one IT elective.
Why RMIT?
RMIT prepares its students for success, exposes them to new ideas, and equips them with skills & knowledge to excel in their chosen career.
An RMIT student will have access to a vast range of activities, courses, & support designed to make their university experience unforgettable.
- Student life: This is a vibrant and welcoming university filled with social, recreation activities, cultural, and sporting.
- Study Experience: RMIT offers practical, industry-based learning which equips its students with the skills and direct experience that make recruiters sit up and take notice.
- Industry Connections: Their internships, placements & work experience opportunities let the students put theory into practice.
- Student Support: The university provides support services & networks to help its students succeed at university.
In 2018, RMIT was rated as ‘above world standard’ in the AI and Image Processing field by the Australian Research Council. RMIT has designed this course to develop advanced knowledge and stand out and be ahead of others for practical careers or research in AI.
Teaching methods
This program uses various study means such as lectures, practical classes, tutorials, project work, studios, and seminars, using face-to-face, online, intensive, and other flexible delivery modes. Students demonstrate their potential through assessments. These assessments may comprise examinations, projects and assignments, assessed tutorials or presentations, reflective journals, and self and peer assessments.
Industry connections
The School of Science at RMIT has extensive networks in the information and communications technology (ICT) industry in Australia and internationally. RMIT’s Industry Advisory Committee contributes to the development and improvement of the course structure to make it relevant to today’s industry and shape it according to the needs of the employer.
The faculty has had substantial industry experience and links.
Program Structure
Duration
The Masters of AI at RMIT course is a 2-years or 24-months full-time regular classroom course.
Fee
The annual fee for this course is INR 3600000. Students also have to pay an additional fee of AU$308 as student services and amenities fee. Apart from this, they will also have to take up expenses for field trips, equipment, and textbooks.
Moreover, students can also apply for loans through FEE-HELP or SA-HELP. In addition to this, RMIT also provides more than 2000 scholarships to recognize their academic achievements.
How to Apply
Students interested in applying for the Masters of AI at the RMIT can fill the application form available at the university’s official website.
Admissions Criteria
The candidate will be eligible for admission if he or she meets the following criteria:
⦁ An Australian bachelor’s degree in computing, science, engineering, or health, or statistics. The minimum GPA requirement is 2.0 out of 4.0.
OR
⦁ An Australian bachelor’s degree with a GPA of at least 2.0 out of 4.0, and, relevant completed courses in programming and statistics in an undergraduate or postgraduate degree or a minimum three years’ of current, relevant work experience or professional practice as a statistician, programmer or equivalent.
Furthermore, if students wish their industry experience be considered at the time of admission, they need to provide detailed CV dates of employment, previous positions, and position responsibilities.
Career Opportunities
AI is becoming increasingly relevant across all industries. Hence, the demand for skilled professionals is snowballing. A recent McKinsey report forecasts that Al will generate $13 trillion in economic activity by 2030.
After this course, students can apply for the following careers:
- AI Engineer
- Machine-Learning Engineer
- Business Intelligence Developer
- Research Scientist
- Web Analyst
Completing this course will allow students to apply advanced AI knowledge in various situations for professional practice or scholarship. It is also a pathway for further education.
You may have a look at our extensive coverage on other analytics courses. Disclaimer: This information is based on the research carried out by AI Monks. The information in this article should be used only for indicative purposes. AI Monks is not responsible for any information that may be different from the actual scenario.