Master of Data Science (CRICOS course code 092791B) is a Masters Degree (Coursework) delivered by The University of Melbourne (UniMelb) over 2 years. This program is designed for students who want to develop advanced skills in data science, including data analysis, machine learning, and statistical modelling. As a CRICOS-registered course, it meets the Australian Government's standards for international student enrolment, ensuring you receive a quality education while studying on a Student visa (Subclass 500). Located at the Parkville campus in Melbourne, Victoria, this course offers a blend of theoretical knowledge and practical experience, preparing graduates for roles in industries such as technology, finance, healthcare, and government. Australia has over 1,500 CRICOS-registered providers offering more than 26,000 courses to international students, and this program stands out as a leading option for those pursuing a career in data science.
Master of Data Science (CRICOS course code 092791B) is a Masters Degree (Coursework) delivered by The University of Melbourne (UniMelb) over 2 years (104 weeks). The course falls under the field of education: 02 - Information Technology → 0201 - Computer Science → 020199 - Computer Science, n.e.c. This AQF Level 9 qualification provides advanced knowledge and skills in data science, covering areas such as data mining, machine learning, statistical analysis, and data visualisation. As a CRICOS-registered course (provider CRICOS 00116K), it ensures international students receive the protections of the ESOS Act, including tuition fee safeguards and access to student support services. The University of Melbourne is a government-funded university consistently ranked among the top universities globally. With a duration of 2 years, this program offers a comprehensive curriculum that blends coursework with a work-integrated learning component. All data on this page is sourced from the official CRICOS register (April 2026), and we encourage you to visit the provider's website for the most current information.
This Master of Data Science program is designed to equip students with the theoretical foundations and practical skills required to tackle complex data-driven challenges. The field of Computer Science (n.e.c.) covers a broad range of topics including algorithms, data structures, programming languages, and artificial intelligence. At the Masters level, students typically engage in advanced coursework, research projects, and a capstone or industry placement. While specific subjects are set by the institution, graduates can expect to gain proficiency in statistical modelling, machine learning techniques, big data analytics, and data ethics. The program also emphasises critical thinking, problem-solving, and communication skills essential for leadership roles in data science. As a CRICOS-registered course, it adheres to the Australian Qualifications Framework (AQF), ensuring the learning outcomes meet national standards. For a detailed syllabus, please refer to The University of Melbourne's official course handbook.
The Master of Data Science has a duration of 2 years, which equates to 104 weeks as recorded on the CRICOS register. The language of instruction is English, and the course is a single qualification — there is no dual qualification or foundation studies component. Students are expected to study full-time to maintain compliance with their Student visa (Subclass 500) conditions. While the CRICOS register lists the standard duration, some students may be able to complete the program faster if they have prior learning credits approved by the university. It is important to note that the course is delivered in face-to-face mode at the Parkville campus, with possible online components as determined by the institution. Always confirm the study mode directly with The University of Melbourne before applying.
The indicative tuition fee for the Master of Data Science is A$121,767 for the full 2-year program. Additionally, non-tuition fees of approximately A$150 apply, bringing the estimated total to A$121,917. Please note that these fees are sourced from the CRICOS register as at April 2026 and are subject to change without notice. The actual fees are set by The University of Melbourne and may vary each year. Importantly, this total does not include Overseas Student Health Cover (OSHC), living costs, or the Student visa application charge. For current fee information, visit the official course page on the university's website. As a free resource, HeadStart Academy does not charge any referral fees or commissions — we simply help you find CRICOS-registered courses.
To be considered for admission to the Master of Data Science, international students typically need to demonstrate English language proficiency. The indicative English requirement is IELTS 6.5-7.0 overall (or equivalent). Applicants are generally expected to hold a bachelor's degree in a relevant field such as computer science, statistics, mathematics, or engineering. Some prior study in data science or programming may be required. If you do not meet the entry requirements, The University of Melbourne may offer pathway options such as a Graduate Certificate or Graduate Diploma. Foundation studies are not applicable for this Masters level course. Always check the exact entry requirements on the provider's website as they can change. For visa purposes, you must also satisfy the Genuine Temporary Entrant (GTE) criterion and provide evidence of financial capacity to cover tuition, living costs, and OSHC.
This course includes a work component of 24 weeks, with an unspecified number of hours per week (estimated total ~340 hours). This work-integrated learning (WIL) component typically takes the form of an industry placement, internship, or project-based experience with an external organisation. It allows students to apply their data science skills in a real-world setting, gain practical experience, and build professional networks. The specific structure and requirements are determined by The University of Melbourne. Participation in the work component is a mandatory part of the course and contributes to the overall assessment. International students on a Student visa (Subclass 500) can undertake such placements, but they must ensure the work is directly related to their course and does not exceed visa work limitations during term time.
The Master of Data Science is delivered at The University of Melbourne's main campus in Parkville, Victoria. Parkville is a vibrant inner-city suburb of Melbourne, known for its educational institutions, parks, and cultural attractions. Melbourne is Australia's second-largest city with a population of over 5 million, including a large international student community. The city is home to numerous CRICOS-registered providers across all study levels. Living costs in Melbourne are relatively high but manageable: indicative weekly rent for a shared apartment is around A$250–A$400, groceries about A$80–A$120, and public transport about A$40–A$60 (with student concessions available). The Parkville campus is well-served by trams, buses, and trains, making it easily accessible from most parts of the city. Studying in Melbourne offers exposure to a diverse, multicultural environment and a strong job market in technology and data science.
International students enrolling in this course will need a Student visa (Subclass 500). This visa allows you to study full-time in Australia and work up to 48 hours per fortnight while your course is in session, and unlimited hours during scheduled breaks (subject to visa conditions). You must also maintain Overseas Student Health Cover (OSHC) for the duration of your stay. When applying for the visa, you need to demonstrate genuine temporary entrant (GTE) status, sufficient financial capacity to cover tuition, living costs, and OSHC, and meet English language requirements (if applicable). The Department of Home Affairs assesses applications individually. HeadStart Academy is not a registered migration agent and does not provide immigration advice. For visa questions, consult a MARA-registered agent or visit the Department of Home Affairs website.
Follow these three steps to apply for the Master of Data Science at The University of Melbourne: 1. Research CRICOS-registered providers: Use HeadStart Academy to filter courses by study level, field, and location. Verify that the course is CRICOS-registered (code 092791B) and that the provider (CRICOS 00116K) is listed on the official register. 2. Apply directly to your chosen institution: Check the entry requirements (including English test scores), gather your academic transcripts, and submit an online application through The University of Melbourne's admissions portal. Be mindful of application deadlines and any supplementary documents required. 3. Receive your Confirmation of Enrolment (CoE) and apply for your Student visa (Subclass 500): Once accepted, the university will issue a CoE. Use this to lodge your visa application with the Department of Home Affairs. Ensure you have OSHC and sufficient funds. For visa assistance, consult a registered migration agent.
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Master of Data Science is a CRICOS-registered programme at The University of Melbourne (UniMelb). 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.