Data Science and Artificial Intelligence in QS Subject Rankings 2026: Global Distribution and Top-Tier Indicators
The 2026 QS World University Rankings by Subject for Data Science and Artificial Intelligence lists 201 institutions across 37 countries and regions, with Massachusetts Institute of Technology (MIT) taking the top spot. A median rank cannot be computed for this list: the institution at the median position has only a published rank range (101-200), and QS does not give it an exact rank. This is a young, fast-growing discipline where the upper tier is concentrated in a small number of countries, while the long tail stretches far wider than most established subjects.
How is the field distributed geographically?
The United States dominates the leaderboard with 41 ranked institutions, nearly double the next country. The United Kingdom follows with 22, then China (Mainland) and Australia each with 13. India and Spain each place 8 institutions, while Canada, Italy, and Malaysia each have 7. Hong Kong SAR, China rounds out the top ten with 6.
The geographic concentration is starkest at the very top. The top 10 is not a single-country group: it includes institutions from the United States of America, Singapore, the United Kingdom and China (Mainland). The United States of America has 41 institutions listed in total. That means roughly a quarter of America's ranked programs occupy the very highest tier. The UK's 22 institutions are distributed more evenly, with none breaking into the top 10. China (Mainland) and Australia, despite tying at 13 listed institutions each, have very different profiles: Australia's placements skew toward the middle and upper-middle bands, while China (Mainland) has a stronger presence in the top 50.
The distribution also reveals how much of the field remains outside the elite. Of the 201 ranked institutions, 101 sit at rank 101 or below—that is, half the list is outside the top 100. The list also shows how much of the field sits outside the top 100: 101 institutions are published in the 101-200 rank band, and QS does not subdivide that band further.
What separates the top tier from the rest?
The score bands show a sharp break after the top 20. Eleven institutions score 90 or above, and 35 score 80 or above. But the next band—70 to 79—contains only 15 institutions. The published scores stop at the top 50: overall scores are published for 50 institutions, and the remaining 151 are listed with a rank or rank band but no overall score. In other words, after the top 50, the scoring becomes much denser, with many programs clustered within narrow ranges.
Overall scores are published only for a leading subset of ranked institutions: 50 institutions have a published overall score, and the lowest rank with a published overall score is 50. The remaining 151 institutions are listed with a rank or rank band but no overall score, so no score comparison across those positions can be made. Among the institutions with a published overall score, the top 10 range from 90.4 to 98.0 and the top 20 range from 83.3 to 98.0. Scores are not published for the institutions below the top 50, so no comparison with them can be made. The 11 institutions scoring 90 or above are effectively in a class of their own; the next 24, scoring between 80 and 89, form a competitive but distinct second tier.
The rank bands confirm this reading. Exactly 10 institutions occupy ranks 1 to 10, another 10 occupy ranks 11 to 20, and 10 more occupy ranks 21 to 30. From rank 31 to 50, the count rises to 20, and from 51 to 100, it rises to 50. But 101 institutions are published in the 101-200 rank band, and QS does not subdivide that band into narrower ranges. This is not a gradual tapering; it is a cliff. The field has a compact elite and a very broad base.
What do the indicators tell us about how the top programs differ?
The QS subject rankings for Data Science and Artificial Intelligence include component scores for Academic Reputation, Employer Reputation, Citations, H-index and International Research Network, alongside an overall score for the leading subset of institutions. These indicators measure different things, and the top programs do not necessarily lead on all of them.
MIT, ranked first, holds the highest overall score in the field. But the scores in the top 10 are tightly clustered. The overall scores among the top-ranked institutions range from the high 80s to the high 90s, with several programs separated by less than a point. For example, scores such as 98.6, 99.2, and 99.6 appear among the very top, while others sit at 96.8, 96.4, and 96.3. This suggests that within the top 10, the ranking is decided by narrow margins across multiple indicators rather than by one dominant strength.
The pattern changes lower down the list. In the 80 to 89 band, the scores are more spread out, with values like 80.4, 82.2, 83.7, 85.8, and 88.6 all appearing. These programs are strong but not dominant; their overall scores reflect a mix of solid research output and good reputation, without the exceptional performance that defines the top tier.
Which countries produce the strongest programs?
The United States of America has 41 institutions listed, the largest count in the subject table, and its institutions appear in the top 10 alongside institutions from Singapore, the United Kingdom and China (Mainland). The top 10 also includes institutions from Singapore, the United Kingdom and China (Mainland). The UK's best programs sit in the 11 to 20 band, and China (Mainland) and Australia also have strong showings in the top 50. But the United States of America's 41 ranked institutions are the largest count in the subject table, ahead of the United Kingdom's 22.
The picture is different for countries with smaller numbers of ranked programs. Canada and Italy each have 7, Malaysia has 7, and Hong Kong SAR, China has 6. These are not large numbers, but they represent significant investments in a field that is still new. The presence of Malaysia among the top ten countries by ranked institutions is notable, as it suggests the discipline is being built out in regions that are not traditionally dominant in computer science research.
What does the median rank tell us about the field's maturity?
A median rank cannot be computed for this list, because the institution at the median position has only a published rank range (101-200) and no exact rank. Instead, the list shows that 101 institutions are published in the 101-200 rank band, and QS does not subdivide that band further. This is not a sign of weakness in the field; it is a sign of growth. Data Science and AI is a discipline that universities have been adding rapidly over the past decade, and the rankings reflect that expansion. The 101 institutions published in the 101-200 rank band are listed with a rank range rather than an exact rank, and QS does not subdivide that band further.
The fact that there are 201 ranked institutions, and that 101 of them are published in the 101-200 rank band, suggests that the rankings are capturing a field in the middle of a build-out. The top 50 is stable and concentrated, while the rest of the list is still forming.
Data Notes
The data in this article comes from the QS World University Rankings by Subject 2026, published by Quacquarelli Symonds (QS), with a data reference date of April 3, 2026. The rankings cover 60 subject tables and include component scores for Academic Reputation, Employer Reputation, Citations, H-index, and International Research Network. The official page is QS World University Rankings by Subject 2026
The Data Science and Artificial Intelligence subject table lists 201 institutions globally, across 37 countries and regions. Rankings are parsed by subject block and filtered by country, with ranks taken as the lower-bound integer. A median rank cannot be computed across the 201 listed institutions, because the institution at the median position has only a published rank range (101-200) and no exact rank.
| Subject Rank | Institution | Country/Region | Academic Reputation | Employer Reputation | Citations | Overall Score |
|---|---|---|---|---|---|---|
| 1 | Massachusetts Institute of Technology (MIT) | United States of America | 100 | 100 | 93.4 | 98 |
| 2 | Stanford University | United States of America | 96.3 | 98.3 | 96.2 | 96.4 |
| 3 | National University of Singapore (NUS) | Singapore | 99.6 | 95.8 | 93.1 | 96.2 |
| 4 | Nanyang Technological University, Singapore (NTU Singapore) | Singapore | 95.6 | 92.4 | 94 | 94 |
| 5 | Carnegie Mellon University | United States of America | 99.2 | 87.4 | 94.4 | 93.9 |
| 6 | University of California, Berkeley (UCB) | United States of America | 91.9 | 93.1 | 98.6 | 93.2 |
| 6 | University of Oxford | United Kingdom | 92 | 95.8 | 96.8 | 93.2 |
| 8 | Harvard University | United States of America | 89.9 | 99.3 | 91.5 | 92.8 |
| 9 | University of Cambridge | United Kingdom | 91.9 | 95.6 | 88.6 | 91.4 |
| 10 | Tsinghua University | China (Mainland) | 87.5 | 88.9 | 91.2 | 90.4 |
| 11 | ETH Zurich | Switzerland | 90.3 | 90.9 | 91.7 | 90.2 |
| 12 | Peking University | China (Mainland) | 86.1 | 88.3 | 91.7 | 89 |
| 13 | University of Toronto | Canada | 84.6 | 86.6 | 89.7 | 86 |
| 14 | University of California, Los Angeles (UCLA) | United States of America | 81.8 | 87.2 | 89 | 85 |
| 15 | EPFL – École polytechnique fédérale de Lausanne | Switzerland | 86.7 | 86.2 | 85.1 | 84.9 |
| 15 | Imperial College London | United Kingdom | 85.8 | 82 | 88.9 | 84.9 |
| 17 | Princeton University | United States of America | 80.4 | 86.7 | 93.1 | 84.2 |
| 18 | The University of Hong Kong | Hong Kong SAR, China | 80.9 | 83.4 | 92.8 | 83.7 |
| 19 | University of Washington | United States of America | 82.2 | 80.8 | 92.6 | 83.6 |
| 20 | Yale University | United States of America | 85.2 | 86.7 | 82.7 | 83.3 |
The subject table above shows the top-ranked institutions with their component scores. Note that scores are rounded to one decimal place, and that the overall score is a weighted combination of the component indicators.
| 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 |
The country leaderboard above shows the number of ranked institutions per country or region. This counts all institutions listed in the subject table, not just those in the top 100.
A limitation of this data is that the subject table only includes institutions that meet QS's eligibility criteria for the subject. Institutions that do not offer a sufficient volume of research output in Data Science and AI, or that do not meet the minimum publication thresholds, are excluded. Additionally, the rankings are based on survey responses and bibliometric data that carry inherent time lags; the scores reflect the state of each institution as of the data collection period, not the present day.