MSc Artificial Intelligence
Australian National UniversityCanberra, Australia- Duration
- 2 years
- Language
- English
- Tuition
- AUD 52,500–55,000
/yr - Intakes
- February · July
A postgraduate degree, usually one or two years after a bachelor's, that takes you deeper into one area of a field and often ends with a research project or thesis.
Overview
A master's in computing builds on a first degree, either deepening an area you already studied or retraining you for a technical career. Taught degrees are the most common. A UK MSc usually lasts one year and a US MS one and a half to two years. In Canada, course-based degrees can take about a year and thesis routes nearer two, while Australian and German master's usually run for one and a half to two years. Research master's, such as an MRes or a thesis-based MS, give more weight to an independent project and are a common step towards a PhD.
Programmes broadly fall into two groups. Specialist master's courses expect a bachelor's in computing or a closely related subject and move straight into advanced material in areas such as machine learning, distributed systems, security or cloud architecture. Conversion master's courses, common in the UK, are designed for graduates from other disciplines and cover programming, databases and software development intensively, so that someone with a degree in, say, economics or biology can move into technology.
This is the level at which several specializations on Universta are most often studied, including data science, artificial intelligence, cyber security and cloud computing. Most taught master's degrees end with a dissertation or industry project, which can be a chance to work on a real problem with a company or research group. Germany stands out for its many English-taught master's programmes in computer science, often at public universities that charge low or no tuition, although some states and universities charge fees to students from outside the EU.
Curriculum
Depending on the programme, a master's in computing may include modules such as the following.
Specializations
Careers
A master's can lead to more specialised roles than a first degree, such as the following, depending on the area studied and any earlier experience.
Sectors
Master's graduates often join teams building machine learning features, data platforms or large-scale cloud infrastructure.
Banks and fintech firms hire specialists for fraud detection, risk modelling, trading systems and security engineering.
Specialist firms and in-house teams employ master's graduates in penetration testing, security architecture and incident response.
Health systems and research organisations use data science, AI and informatics graduates to analyse clinical and biological data.
Consultancies place master's graduates in data, AI and cloud practices that advise clients on larger technology changes.
Government bodies recruit specialists to modernise digital services, manage data responsibly and protect national infrastructure.
Who hires
Named for illustration only; not a ranking, endorsement or partnership.
Admission
Most specialist programmes ask for a bachelor's in computer science, IT, engineering, mathematics or a related subject, with a minimum grade that varies by university, and Indian applicants are usually assessed on their overall percentage or CGPA. Conversion programmes accept graduates from any discipline but may look for evidence of numerical ability. Some US universities ask for GRE scores while many no longer require them, and German universities may check that your earlier modules match the course closely.
Applications usually go directly to each university, or through uni-assist for some German universities, and typically include transcripts, a statement of purpose, two references, a CV and an English test result. Most programmes start in the autumn, although Australian universities usually start in February and July, and some UK, US and Canadian programmes also offer a January intake. Popular programmes can close early, so apply well before the deadline.
Outlook
Generative AI and large language models are reshaping much of the work master's graduates do. Building with these models raises its own problems: evaluating their output, keeping cost and energy use under control, protecting data and deciding where they should not be used at all. Graduates who understand both the technology and its limits are well placed, and many programmes are adding modules on responsible and trustworthy AI.
Regulation is creating new roles too. Rules on artificial intelligence and data in Europe and elsewhere mean organisations need people who can connect engineering decisions with compliance, risk and privacy. Practices such as DevSecOps and secure-by-design development are spreading, while quantum computing, edge computing and energy-efficient systems are growing research and industry areas that a master's dissertation can explore.
Destinations
Programmes show each university’s published offering. Course guides describe the course across universities.
Questions
Yes, through a conversion master's, which is designed for graduates of other subjects and is especially common in the UK. Specialist programmes in areas such as machine learning or security usually expect a related first degree.
Both are recognised master's degrees. A one-year programme is quicker and usually cheaper overall but more intense, with less room for internships or electives. Longer programmes tend to allow more depth, a thesis and sometimes an internship. Choose based on your goals, budget and whether you may want a PhD later.
Only for some programmes, mostly in the United States, and many US universities have made it optional. UK, Australian and most German programmes do not ask for it. Check each university's current requirement.
A taught master's suits most people aiming for industry roles. A research master's, with a larger independent project, suits those considering a PhD or a research career and can strengthen a later doctoral application.
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