Master of Data Science (CRICOS course code 115904D) is a Masters Degree (Coursework) delivered by Adelaide University over 2 years. This program equips students with advanced skills in statistics, data analysis, and machine learning, preparing them for careers in data-driven industries across Australia. As a CRICOS-registered course (provider code 04249J), it meets Australian Government standards for international student enrolment. Adelaide University is a public institution with a strong reputation in research and teaching, located in South Australia’s capital city, known for its affordable living costs and vibrant student community. This page provides indicative fees, entry requirements, work component details, and visa guidance to help you make an informed decision.
Master of Data Science (CRICOS course code 115904D) is a Masters Degree (Coursework) delivered by Adelaide University over 2 years. This program sits within the field of Natural and Physical Sciences, specifically Mathematical Sciences (Statistics). It is designed for graduates seeking to deepen their expertise in data science, covering statistical modelling, machine learning, data visualisation, and big data technologies. The course is offered at AQF Level 9, requiring a prior bachelor’s degree in a related field. Adelaide University is a CRICOS-registered provider (04249J) and a government-funded institution, ensuring quality education under the ESOS Act. International students are protected by the Education Services for Overseas Students (ESOS) framework, which guarantees course quality and student welfare.
The Master of Data Science focuses on the field of Statistics (010103), a branch of Mathematical Sciences under Natural and Physical Sciences. Students typically learn advanced statistical methods, probability theory, data mining, predictive analytics, and computational techniques. They gain hands-on experience with programming languages like R and Python, as well as tools for handling large datasets. The curriculum is designed to develop critical thinking and problem-solving skills applicable to industries such as finance, health, technology, and government. Graduates emerge with the ability to interpret complex data, communicate insights, and drive data-informed decision-making. This general guidance reflects typical learning outcomes for AQF Level 9 programs in this field.
The Master of Data Science has a duration of 2 years (104 weeks) as recorded on the CRICOS register. The language of instruction is English. It is a single qualification (not a dual degree or combined with foundation studies). Study mode is typically full-time, on-campus, but students should confirm with Adelaide University for any flexible delivery options. International students must maintain full-time enrolment to comply with student visa conditions. The course is not a VET program, so no national VET code applies.
Indicative tuition fees for the Master of Data Science are A$109,800 for the full program. Non-tuition fees are A$103, bringing the estimated total to A$109,903. These figures are sourced from the CRICOS register as at April 2026 and are subject to change. Additional costs not included are Overseas Student Health Cover (OSHC), which is mandatory for international students, living expenses (e.g., accommodation, food, transport), and the visa application charge for the Student visa (Subclass 500). For accurate, current fees, always refer to Adelaide University’s official website. The following table summarises the indicative costs:
To enter the Master of Data Science, international students typically need an IELTS overall score of 6.5 to 7.0, with no band below 6.0 (or equivalent English test). A prior bachelor’s degree in a quantitative field such as mathematics, statistics, computer science, or engineering is usually required. Some students may need to complete bridging or pathway programs if their qualifications do not directly align; check with Adelaide University for foundation or graduate certificate options. Entry requirements are set by the institution and may include a minimum GPA, relevant work experience, or a portfolio. Always verify specific requirements on the provider’s website or consult a registered education agent.
The course includes a work-integrated learning component: 9 weeks, covering approximately 340 total hours (around 38 hours per week). This is an industry placement or internship where students apply their data science skills in a real-world setting. Work-integrated learning is a valuable opportunity to gain practical experience, build professional networks, and enhance employability. Students may work on projects with industry partners, contributing to data analysis, model development, or reporting. The exact nature of the placement is arranged by Adelaide University and may vary by availability. This component is a mandatory part of the curriculum and is assessed.
The Master of Data Science is delivered at two campuses in South Australia: Adelaide City Campus (Adelaide, SA) and Mawson Lakes Campus (Mawson Lakes, SA). Adelaide is the capital city of South Australia, with a population of over 1.3 million and a large international student community. The city offers affordable living costs compared to Sydney or Melbourne, with indicative weekly rent for a one-bedroom apartment around A$350–450, groceries A$80–120, and public transport A$40–50. Adelaide has excellent public transport including buses, trains, and trams, connecting both campuses. Mawson Lakes is a northern suburb, home to a technology park and easy access to the city via train. With over 1,500 CRICOS-registered providers across Australia, Adelaide alone hosts multiple universities and colleges, making it a vibrant study destination.
International students enrolled in the Master of Data Science must hold a Student visa (Subclass 500). This visa allows study at a CRICOS-registered institution and includes work rights: 48 hours per fortnight during term time and unlimited hours during scheduled course breaks, subject to visa conditions. Applicants must meet the Genuine Temporary Entrant (GTE) requirement, demonstrating an intention to stay temporarily for study. Overseas Student Health Cover (OSHC) is mandatory for the duration of the visa. Students must also show evidence of sufficient financial capacity to cover tuition, living costs ($21,041 per year for a single student as of 2026), and travel. For detailed visa information, consult the Department of Home Affairs or a registered migration agent (MARA). HeadStart Academy does not provide migration advice.
Adelaide offers a unique study experience: a smaller, more affordable city with a strong focus on education and innovation. Known as the 'City of Churches,' it has a diverse cultural scene, numerous festivals, and easy access to beaches and wine regions. For data science students, Adelaide’s growing tech sector provides internship and job opportunities. However, consider your preferences for climate (Mediterranean), lifestyle (less fast-paced than Sydney or Melbourne), and career prospects. South Australia has a lower cost of living, which can stretch your budget further. If you value a tight-knit student community and affordability, Adelaide could be an excellent choice. Always research thoroughly and visit if possible.
Ready to apply? Start your journey by researching CRICOS-registered providers, then apply directly to Adelaide University. Once you receive your Confirmation of Enrolment (CoE), you can apply for your Student visa (Subclass 500). For course-specific details, visit Adelaide University’s official website.
All Masters Degree (Coursework) courses in South Australia →
Master of Data Science is a CRICOS-registered programme at Adelaide University. Use this register extract [CRICOS register, Apr 2026] to cross-check codes, duration and indicative fees before you apply.
This page is general information only and not migration advice. Confirm Student visa (Subclass 500) requirements with the Department of Home Affairs.