Master of Mathematical Sciences (Specialisation: Artificial Intelligence)
A cutting-edge master’s programme blending advanced mathematics with AI, preparing graduates for careers at the intersection of data science and innovation.
Best for:Best for mathematics graduates or professionals with a strong quantitative background seeking to specialise in AI, data science, or computational modelling for careers in tech, finance, or research.
Overview
The Master of Mathematical Sciences (Specialisation: Artificial Intelligence) at the University of Adelaide offers a unique fusion of theoretical mathematics and practical AI applications. Students explore core topics such as optimisation, stochastic processes, and machine learning fundamentals while specialising in areas like deep learning, generative models, and AI programming. The programme emphasises hands-on projects and collaboration with leading researchers, equipping graduates with expertise in high-demand fields such as data science, robotics, and healthcare analytics. It is designed for those seeking to bridge mathematical rigor with real-world AI innovation, fostering careers in technology, finance, and engineering. The curriculum balances theoretical depth with industry-relevant skills, ensuring graduates are well-prepared for roles shaping the future of AI-driven solutions.
What you'll do
- Study advanced mathematical theories underpinning AI, including optimisation, stochastic processes, and computational models.
- Develop practical AI skills through hands-on projects, such as programming for AI and designing generative models.
- Collaborate with leading researchers on cutting-edge topics like deep learning and machine learning applications.
- Apply mathematical and AI techniques to solve real-world problems in data science, robotics, or healthcare analytics.
- Engage in coursework and research that bridges theoretical mathematics with emerging AI technologies.
- Prepare for careers in AI-driven industries by gaining expertise in both mathematical rigor and technical implementation.
Requirements
Degree required: A completed bachelor’s degree (AQF Level 7) or bachelor’s honours degree (AQF Level 8) in mathematics, computer science, or a related quantitative field from a recognised institution; OR a completed graduate certificate (AQF Level 8) or higher in a relevant discipline.
Degree offered: Master of Mathematical Sciences (Specialisation: Artificial Intelligence)
Language: English proficiency (if applicable to international applicants; not explicitly stated in source).
Instruction: English
- Strong foundation in mathematics, including linear algebra, calculus, and probability theory.
- Basic programming skills (e.g., Python, R) or willingness to develop them for AI applications.
- Problem-solving and analytical thinking abilities.
- Ability to work independently and collaboratively in a research-oriented environment.
- Applicants must meet minimum entry requirements for a master’s degree by coursework.
- Admission is competitive; selection may consider academic merit, prior research experience, or relevant work history.
- No explicit nationality or residency restrictions mentioned.
Funding & terms
Programme and admissions
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- Intake
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- Duration
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- Teaching language
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Deadline: unknown (programme-specific deadlines apply)
Applicants must submit an online application through the University of Adelaide’s official portal. Required documents typically include academic transcripts, a personal statement, and proof of English proficiency (if applicable). Some applicants may be required to provide additional materials such as a CV or letters of recommendation, depending on the competitive nature of admission.
- Academic transcripts (bachelor’s or honours degree)
- Personal statement or research proposal (if required)
- Proof of English proficiency (if applicable)
- CV (curriculum vitae) (may be required)
- Letters of recommendation (may be required)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.