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Data Science and Artificial Intelligence in QS Subject Rankings 2026: Global Distribution and Top-Tier Indicators
The QS World University Rankings by Subject 2026 lists 201 institutions worldwide in Data Science and Artificial Intelligence, spanning 37 countries a
The QS World University Rankings by Subject 2026 lists 201 institutions worldwide in Data Science and Artificial Intelligence, spanning 37 countries and regions. The Massachusetts Institute of Technology (MIT) holds the top position. For prospective students choosing a program by subject, the key takeaway is that this field is highly concentrated at the top: a median rank cannot be computed for the 201 listed institutions, because the institution at the median position has only a published rank range (101-200).
How the Field Is Distributed Globally
The United States leads the country leaderboard with 41 ranked institutions, more than double the next country. The United Kingdom follows with 22. China (Mainland) and Australia each have 13, while India and Spain both have 8. Canada, Italy, and Malaysia each have 7, and Hong Kong SAR, China has 6. These ten countries and regions account for the vast majority of the 201 institutions on the list.
The concentration is not just in numbers but in quality. All 10 institutions ranked in the top 10 are drawn from this same group of leading countries. The top 50 contains 50 institutions, and the top 100 contains 100. Beyond rank 100, 101 institutions are listed with a published rank band of 101–200; the rank 101–150 band itself contains 0 institutions. The top 150 contains 100 institutions, while 101 institutions have a rank range that straddles the top 150 and is not subdivided into that band, so they can be counted neither inside the top 150 nor described as outside it.
For a student comparing options, this means that the “long tail” of programs in Data Science and AI is relatively short compared to broader subject rankings. The field is young, and the ranking’s coverage reflects that: 201 institutions total, with no median rank computable because the institution at the median position has only a published rank range (101-200).
What the Score Bands Reveal
The overall scores in this ranking cluster tightly at the top. Only 11 institutions score 90 or above. The next band, 80–89, contains 24 institutions. The 70–79 band holds 15. Overall scores are published for only 50 of the 201 ranked institutions; the remaining 151 are listed with a rank or rank band but no overall score, and a missing score does not mean the institution scored below any threshold. This is a striking pattern: among the 50 institutions with a published overall score, scores run from 76.0 to 98.0; the other 151 institutions have no published overall score.
The 11 institutions with scores of 90 or above represent the absolute elite tier. The 24 institutions in the 80–89 band form a second tier. The 15 institutions in the 70–79 band constitute a third. The remaining 151 institutions have no published overall score, and a missing score does not mean they scored below any threshold. For a reader interpreting these numbers, the practical implication is that the gap between the top tier and the rest is significant — but the ranking does not provide granular scores below 70 to distinguish among the majority of programs.
The Top 10: A Closer Look
The top 10 institutions in this subject are all well-known names. MIT is ranked 1st. The remaining nine positions in the top 10 are filled by institutions from the US, UK, and a small number of other leading research nations. While this article does not name each institution individually, the distribution of top-10 slots follows the broader country pattern: the US and UK dominate, with a handful of other countries represented.
The overall scores among the top 10 range from 98.0 down to 90.4. The highest score is 98.0, achieved by MIT. The lowest score among the top 10 is 90.4. This means that even within the top 10, the published overall scores run from 98.0 down to 90.4. The gap between rank 1 and rank 10 is not trivial, and a student comparing these programs should look at the component scores — academic reputation, employer reputation, and citations — to understand where each institution’s strengths lie.
Indicator Breakdown for Top Programs
The ranking’s methodology includes academic reputation, employer reputation, and citations as key components. For the top-scoring institutions, these indicators paint a consistent picture: high academic reputation scores (typically 90 or above), high employer reputation scores, and strong citation performance. The specific scores for individual institutions are available in the full subject table, which lists each ranked institution’s overall score and component scores.
For example, among the top 10, academic reputation scores range from 100 down to 87.5. Employer reputation scores range from 100 down to 88.9. Citation scores range from 98.6 down to 88.6. These ranges show that while the top institutions are strong across all indicators, there is variation: some excel in employer reputation, others in citations. A student who values industry connections might weight employer reputation more heavily; a student interested in research might look at citations. The ranking provides the raw numbers to make that comparison.
What Has Changed and What to Watch
The 2026 edition includes 201 institutions globally, as the subject has grown in prominence. The number of countries represented (37) indicates broad geographic spread, but the concentration of top-ranked programs in a handful of countries remains pronounced. The United States’ 41 institutions and the UK’s 22 are the two largest national groups on the 201-institution list.
For students outside these countries, the takeaway is not discouraging: China (Mainland), Australia, India, Spain, Canada, Italy, Malaysia, and Hong Kong SAR all have ranked programs, and several of these countries have institutions within the top 100. The field is global, but the top tier remains concentrated.
Data Notes
This article is based on the QS World University Rankings by Subject 2026, published by Quacquarelli Symonds (QS), with a data reference date of 2026-04-03. The rankings cover 60 subject-specific lists. For Data Science and Artificial Intelligence, 201 institutions are ranked globally across 37 countries and regions. The ranking methodology includes academic reputation, employer reputation, citations, H-index, and international research network scores. The data presented here was parsed by subject name and filtered by country, with ranks taken as the lower-bound integer.
The full subject table provides institution-level scores for academic reputation, employer reputation, citations, and overall score. The country leaderboard lists the number of ranked institutions per country. A median rank cannot be computed for the 201 listed institutions, because the institution at the median position has only a published rank range (101-200). The rank bands show that the top 150 contains 100 institutions, while 101 institutions have a rank range that straddles the top 150 and is not subdivided into that band; the score bands cover only the 50 institutions with a published overall score, and a missing score does not mean an institution scored below any threshold. These boundaries reflect the current coverage and scoring distribution of this subject ranking.
| 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 |
| 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 |