Master of Architecture
RMIT University's Master of Architecture program is recognized for its innovative a...
Melbourne City
INTAKE: Jul & Feb
RMIT's Master of AI program is at the forefront of AI education. The curriculum is designed to provide students with a deep understanding of AI principles, tools, and applications. Students explore a wide range of AI techniques, including machine learning, natural language processing, computer vision, and robotics, allowing them to develop practical solutions for complex real-world problems.
Curriculum: The curriculum is structured to cover both the foundational and advanced concepts in AI. Students delve into areas such as machine learning algorithms, data analytics, neural networks, and deep learning. Practical hands-on experience is emphasized through projects that require students to apply AI techniques to address real-world challenges.
Research Focus: Research is a core element of RMIT University's Master of AI program. Students are encouraged to engage in cutting-edge AI research projects, contributing to the development of AI technologies and solutions. This research focus equips graduates with the skills to stay at the forefront of AI advancements.
Industry Engagement: RMIT fosters strong connections with industry leaders and experts in the AI field. The program often collaborates with AI companies, startups, and research institutions. Students have opportunities for internships, industry projects, and guest lectures from AI professionals, ensuring that they gain practical experience and insights.
Global Perspective: The Master of AI program promotes a global perspective in AI education. Students have the chance to work on projects that address global challenges, collaborate with international peers, and engage with AI developments worldwide. This global outlook prepares graduates to be effective AI professionals in a diverse and interconnected world.
Melbourne City
IELTS 6.5
AUD 38400
Postgraduate Entry Requirements:
Academic Qualifications: Typically, a minimum of 60% or above in your previous academic qualifications is required for postgraduate programs.
English Language Proficiency:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.
RMIT University offers a range of scholarships to international students to support their educational journey. These scholarships are designed to recognize academic excellence, leadership potential, and contributions to the community.
Graduates of RMIT University's Master of AI program are well-equipped for a wide range of career opportunities in the rapidly expanding field of artificial intelligence.
Machine Learning Engineer: Graduates can work as machine learning engineers, designing and implementing AI algorithms to improve processes and make predictions.
Data Scientist: Data scientists are in high demand, using AI to analyze and extract valuable insights from large datasets.
AI Research Scientist: For those interested in advancing the field of AI, careers in research and development are available in academia or industry.
AI Consultant: Graduates can provide consultancy services to organizations seeking to integrate AI into their operations.
Robotics Engineer: Opportunities exist in designing and developing robotic systems for various industries, from manufacturing to healthcare.
Natural Language Processing Specialist: Graduates can specialize in language-based AI, working on applications like chatbots, language translation, and sentiment analysis.
Computer Vision Engineer: For those passionate about image and video analysis, careers in computer vision offer opportunities in fields like autonomous vehicles and security.
AI Project Manager: Graduates can lead AI projects, ensuring successful implementation and alignment with organizational goals.