Master of Applied Data Analytics (CRICOS course code 097058B) is a Masters Degree (Coursework) delivered by Australian National University over 1 year 6 months (~78 weeks). This program equips students with advanced skills in data analysis, machine learning, and statistical modelling, preparing them for leadership roles in data-driven industries. As a CRICOS-registered course (provider CRICOS 00120C), it meets strict Australian Government quality standards under the ESOS Act, ensuring international students receive a world-class education. Based at ANU's Canberra City West campus, students benefit from Australia's national capital location, with access to government agencies, research institutions, and a thriving tech sector. Whether you're aiming for a career in data science, business analytics, or policy analysis, this master's degree offers a rigorous curriculum and strong industry connections.
Master of Applied Data Analytics (CRICOS course code 097058B) is a Masters Degree (Coursework) (AQF Level 9) delivered by Australian National University (CRICOS 00120C), a government-funded university consistently ranked among the world's top 50. The program runs for 1 year 6 months (78 weeks) with English as the language of instruction. It is a single qualification (no dual award) and does not include a mandatory work component. The field of education is Information Technology (020000), focusing on applied data analytics. ANU, as a CRICOS-registered provider, is listed on the Commonwealth Register of Institutions and Courses for Overseas Students, ensuring accountability and student protections under the ESOS Act. With over 1,500 CRICOS-registered providers in Australia offering more than 26,000 courses, selecting a CRICOS-registered course is the first step to a secure study experience.
This course sits within the Information Technology field (020000), specifically in data analytics. At AQF Level 9 (Masters Degree), students develop advanced knowledge and skills in collecting, managing, and interpreting complex datasets to inform decision-making. Typical learning outcomes include proficiency in programming languages like Python or R, application of machine learning algorithms, data visualisation, statistical analysis, and ethical considerations in data use. Graduates are prepared for senior roles such as data scientist, analytics manager, or data consultant. While exact syllabus details vary by institution, the broad focus is on turning raw data into actionable insights across industries like finance, health, government, and technology.
The Master of Applied Data Analytics is delivered over 78 weeks (1 year 6 months) as a full-time course. Language of instruction is English. This is a single qualification only (not a dual award). No foundation studies component is included. Students should plan their schedule around the academic calendar of Australian National University, typically with two semesters per year. The duration is based on the CRICOS register; always confirm with ANU for any variations.
Tuition fees for Master of Applied Data Analytics are indicative at A$84,940 for the full program. Non-tuition fees (including student services and amenities) are estimated at A$560. The total estimated cost is A$85,500. Please note: these fees are sourced from the CRICOS register as at April 2026 and are subject to change by Australian National University. Overseas Student Health Cover (OSHC), living expenses, and the student visa application charge are not included. For current fees, always check the ANU website: http://www.anu.edu.au/. As a guide, international students in Canberra should budget approximately A$500–$700 per week for accommodation, groceries, and transport.
Applicants typically need an IELTS score of 6.5–7.0 overall (with no band below 6.0) or equivalent English language test. A bachelor's degree (AQF Level 7) in a relevant field such as IT, mathematics, statistics, or engineering is usually required. Some students may need to complete a Graduate Certificate or Diploma as a pathway. Entry requirements are set by Australian National University – consult the provider's admissions page for precise details. Meeting the minimum does not guarantee admission.
This course has no mandatory work component. However, student visa holders (Subclass 500) are permitted to work up to 48 hours per fortnight during term and unlimited hours during scheduled breaks. Always check current visa conditions on the Department of Home Affairs website.
The Master of Applied Data Analytics is delivered at Australian National University – Canberra City West, ACT. Canberra is Australia's capital, home to over 20 CRICOS-registered providers, with a student population exceeding 40,000. Living costs in Canberra are moderate, with indicative weekly rent for a one-bedroom apartment around $450–$600, groceries $80–$120, and public transport about $40–$60. The campus is well connected by buses and bike paths, and the city boasts numerous libraries, study spaces, and a safe environment.
To study this course, you will need a Student visa (Subclass 500). Key requirements include: Confirmation of Enrolment (CoE) from ANU, genuine temporary entrant (GTE) statement, sufficient funds for tuition and living costs, Overseas Student Health Cover (OSHC), and meeting English language and health character requirements. Visa holders can work 48 hours per fortnight during study periods and unlimited during holidays. For detailed advice, consult a registered migration agent (MARA) or the Department of Home Affairs. HeadStart Academy does not provide migration advice.
Follow these three steps to apply for Master of Applied Data Analytics at Australian National University: 1. Research CRICOS-registered providers – filter by course level (Masters), field (IT), and location (ACT). Ensure the course and provider are CRICOS-registered (check CRICOS 00120C and 097058B). 2. Apply directly to Australian National University – prepare your documents (transcripts, English test results, personal statement) and submit through ANU's online portal. Note application deadlines and any specific entry requirements. 3. Receive your Confirmation of Enrolment (CoE) and apply for your Student visa (Subclass 500) – once ANU issues your CoE, lodge a visa application with the Department of Home Affairs. Include OSHC, financial evidence, and GTE statement.
Canberra offers a unique study experience: it's a planned city with a strong focus on education, research, and government. The city has over 400,000 residents, a low crime rate, and easy access to nature reserves and outdoor activities. For data analytics students, internships with federal agencies like the Australian Bureau of Statistics or CSIRO are common. However, Canberra's nightlife is quieter than Sydney or Melbourne, and public transport is less extensive. Consider your preference for city atmosphere vs. career opportunities. HeadStart Academy's guide to studying in ACT provides more insights.
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Master of Applied Data Analytics is a CRICOS-registered programme at Australian National 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.