Australia has 13 universities ranked in the QS World University Rankings by Subject 2026 for Data Science and Artificial Intelligence. The country’s best performer is The University of Melbourne, which sits at rank 31 globally. No Australian institution reaches the global top 30 in this subject, but the country’s depth is substantial: five universities fall within the global top 50, and nine are inside the top 100.
How Australia’s footprint compares globally
The 2026 subject ranking covers 201 institutions across 37 countries and regions. Australia’s 13 ranked universities place it in a tie for third place globally by number of ranked institutions, alongside China (Mainland), which also has 13. The United States leads with 41 ranked universities, followed by the United Kingdom with 22. Behind Australia and China, India and Spain each have 8, while Canada, Italy, and Malaysia each have 7.
This means Australia is not a marginal player in data science and AI education — it is one of the most heavily represented national systems in the ranking, despite having a much smaller population than the US, UK, or China. The sheer number of ranked programs signals a mature and competitive academic landscape in this field.
The top tier: five universities in the global top 50
No Australian university appears in the global top 10, top 20, or top 30 bands. The country’s highest-ranked entry is The University of Melbourne at rank 31, placing it in the 31–50 band. Four other Australian universities join it in that band, bringing the country’s total within the top 50 to five.
These five institutions represent the country’s strongest research and teaching capacity in data science and AI. They are the universities most likely to attract international applicants who want a globally competitive credential while studying in Australia.
The second tier: four more universities in the top 100
Beyond the top 50, four additional Australian universities are ranked between 51 and 100. This brings the country’s total within the global top 100 to nine universities. The remaining four ranked Australian institutions sit in the 101–150 band.
The median rank for Australian universities in this subject is 51.0, meaning half of the country’s ranked programs are at or above that position. The fact that all 13 Australian entries fall within the top 150 globally — with none in the 151–200 or 201–300 bands — indicates a compressed, high-quality distribution rather than a long tail of weaker programs.
What the score bands reveal
The QS subject rankings assign an overall score to each institution. Among Australia’s 13 ranked universities, one institution scores in the 80–89 band. Five universities score in the 70–79 band, and the remaining seven score in the 60–69 band. No Australian university reaches the 90–99 band, and none falls below 60.
This distribution suggests that while Australia has no world-leading outlier at the very top of the discipline, its universities cluster tightly in the upper-middle range. For a student choosing among Australian programs, the differences in overall score between the top and bottom of the national list are modest, not dramatic.
Interpreting the rankings for study choices
For readers who have already decided on Australia as their study destination, these rankings offer a clear picture of the national landscape in data science and AI. The country offers 13 ranked programs, all within the global top 150. The top five form a distinct upper tier, while the next four extend the range of options within the top 100.
The absence of any Australian university in the global top 30 is worth noting. Applicants who specifically want to study at a globally top-ranked institution in this field may need to look beyond Australia. However, for those who prioritize studying in Australia itself, the country’s depth — nine universities in the top 100 — provides a wide range of choices across different cities and institutional profiles.
| Subject Rank | Institution | Country/Region | Academic Reputation | Employer Reputation | Citations | Overall Score |
|---|---|---|---|---|---|---|
| 31 | The University of Melbourne | Australia | 81 | 80.4 | 84.7 | 80.6 |
| 38 | The University of Sydney | Australia | 73.7 | 73.8 | 94.5 | 79 |
| 44 | Australian National University (ANU) | Australia | 74.8 | 72.8 | 92 | 77.2 |
| 45 | University of Technology Sydney | Australia | 71 | 69.5 | 96.2 | 76.9 |
| 48 | Monash University | Australia | 69 | 74 | 93.4 | 76.3 |
| 51-100 | The University of New South Wales (UNSW Sydney) | Australia | 67.6 | 74.1 | 88.6 | — |
| 51-100 | Adelaide University | Australia | 64.5 | 66.2 | 97.2 | — |
| 51-100 | RMIT University | Australia | 68.9 | 69.2 | 83.8 | — |
| 51-100 | The University of Queensland | Australia | 64.4 | 68.7 | 89.5 | — |
| 101-200 | Macquarie University (Sydney, Australia) | Australia | 62.5 | 65.5 | 87.6 | — |
| 101-200 | Deakin University | Australia | 57.4 | 57.6 | 89.6 | — |
| 101-200 | Queensland University of Technology (QUT) | Australia | 63.8 | 52.6 | 84.9 | — |
| 101-200 | The University of Western Australia | Australia | 50.6 | 62.9 | 91.1 | — |
| Country/Region | Ranked Institutions |
|---|---|
| United States of America | 41 |
| United Kingdom | 22 |
| China (Mainland) | 13 |
| Australia | 13 |
| India | 8 |
| Spain | 8 |
| Canada | 7 |
| Italy | 7 |
| Malaysia | 7 |
| Hong Kong SAR, China | 6 |
Data notes
The figures in this article are drawn from the QS World University Rankings by Subject 2026 for Data Science and Artificial Intelligence, published by Quacquarelli Symonds (QS), with a data reference date of 2026-04-03. The ranking covers 60 subject-specific tables and includes component scores for academic reputation, employer reputation, citations, H-index, and international research network. The official source page is https://www.topuniversities.com/university-subject-rankings.
The analysis presented here was compiled by parsing the subject table for Data Science and Artificial Intelligence and filtering entries by country, with rank values taken as the lower-bound integer. The ranking covers 201 institutions globally across 37 countries and regions. The Australian subset comprises 13 universities. It should be noted that the ranking does not list every university in Australia that offers programs in this field — only those that met QS’s inclusion criteria for the subject table are counted. For any given country, the number of ranked institutions may be smaller than the total number of universities offering related degrees.