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13 Master's degrees offered by the university
Applied Data Analytics
The Applied Data Analytics program at the Australian National University is a degree that provides students with exposure to best practice in data analytics and cutting edge courses in areas of relevance to data analytics practitioners.
Business Information Systems
The Business Information Systems program from the Australian National University equips graduates and professionals from any discipline to become evidence-based decision makers, innovative problem solvers, responsible social citizens, and future leaders.
Statistical Data Analysis
Statistical Data Analysis from Australian National University will provide you with a rigorous training in core statistical application and theory.
Digital Humanities and Public Culture
The Digital Humanities and Public Culture program at the Australian National University enables students to develop high level skills in digital literacy and applied humanities. A flexible structure allows students to learn emerging digital research methods, advanced critical thinking and data analysis.
Quantum Technology (Advanced)
The Quantum Technology (Advanced) program at the Australian National University is about the quantum technologies such as computing, metrology and communications that have the potential to vastly change our world, as they push us towards the Quantum Age.
Digital Humanities and Public Culture (Advanced)
The Digital Humanities and Public Culture (Advanced) program at the Australian National University enables students to develop high level skills in digital literacy and applied humanities. A flexible structure allows students to learn emerging digital research methods, advanced critical thinking and data analysis.
Mathematical Sciences (Advanced)
The Mathematical Sciences (Advanced) program at the Australian National University includes a variety of courses tailored to your interests and needs, ranging from pure mathematics to mathematical modelling, computational mathematics and applications of mathematics, as well as courses in related disciplines such as statistics, computer science, financial mathematics and econometrics.
Computing (Advanced)
The Computing (Advanced) program at the Australian National University is a 2- year full-time (or equivalent part-time) degree targeting students who wish to enter industry in an R&D or leadership role or who wish to pursue a PhD.
Computing
The Computing program at the Australian National University is a degree with two target audiences: graduates without a computing background who wish to acquire a solid knowledge of computing, and graduates with a computing or information technology background who wish to broaden and deepen or refresh their knowledge.
Quantitative Biology and Bioinformatics (Advanced)
The Quantitative Biology and Bioinformatics (Advanced) program at the Australian National University is a 2 year full-time (or equivalent part-time) degree that provides students with experience in the use of methods and tools to organise and analyse biological data: statistically, mathematically and computationally.
Machine Learning and Computer Vision
The Machine Learning and Computer Vision program at the Australian National University provides students with specific knowledge and prepares them with competitive professional skills and high flexibility to build their career in the field of Machine Learning and Computer Vision. ANU is one of the finest research universities in Australia, and hosts the ARC Centre of Excellence for Robotic Vision.
Applied Cybernetics (Advanced)
The Master of Applied Cybernetics (Advanced) at the Australian National University is a full-time degree that provides students with advanced skills in managing cyber-physical systems from critical thinking and questioning, to an understanding of how the technology relates to the regulatory environment.
Applied Cybernetics
The Master of Applied Cybernetics at the Australian National University is a degree that provides students with advanced skills in managing cyber-physical systems from critical thinking and questioning, to an understanding of how the technology relates to the regulatory environment.