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 covers 201 institutions across 37 countries and regions, with the Massachusetts Institute of Technology (MIT) holding the top position. For prospective students choosing a programme by subject rather than by institution, the key question is not merely which universities appear on the list, but how the field is distributed geographically and what separates the leading institutions from the rest.

The Global Landscape: 201 Institutions, 37 Countries

The 2026 edition of the QS subject ranking for Data Science and Artificial Intelligence includes 201 institutions worldwide. This is a single, unified global list—there is no separate regional breakdown—so every ranked university competes in the same pool. The median rank among all listed institutions is 101.0, which means that half of the ranked programmes sit within the top 101 positions and half fall below that line.

The country-level distribution reveals a clear concentration of programmes in a relatively small number of nations. The United States leads with 41 ranked institutions, more than double the next country. The United Kingdom follows with 22, while China (Mainland) and Australia each contribute 13 institutions. India and Spain each have 8, and Canada, Italy, and Malaysia each have 7. Hong Kong SAR, China rounds out the top ten countries with 6. Taken together, these ten countries or regions account for the vast majority of the 201 ranked programmes, which means that applicants looking for a broad range of options will find them concentrated in a handful of education markets.

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 Top Tier: What Separates the Leading Programmes

The upper end of the ranking is highly selective. Only 10 institutions appear in the top 10, and the top 20 contains exactly 20 programmes. The top 30 holds 30 institutions, and the top 50 includes 50. Moving further down, the top 100 contains 100 programmes, while the remaining 101 institutions fall between ranks 101 and 150. Notably, no ranked institution falls beyond position 150—the 201 listed programmes all sit within the top 150 ranks.

This distribution has an important implication: the field is not evenly spread across the ranking spectrum. The top 50 positions are densely populated with strong programmes, and the gap between the top 50 and the rest is substantial. For a student targeting a highly ranked programme, the realistic pool of options is much smaller than the total 201 institutions might suggest.

Score Bands: The Quality Threshold

The QS subject rankings use a composite score based on multiple indicators, and the 2026 data reveals a sharp quality threshold. Eleven institutions achieve scores of 90 or above, placing them in the highest tier. The 80–89 band contains 24 institutions, and the 70–79 band contains 15. Together, these three bands account for 50 institutions—exactly the number in the top 50.

Below the 70-point threshold, the distribution changes dramatically. There are no institutions at all in the 60–69, 50–59, 40–49, or 30–39 score bands. This means that every one of the 201 ranked programmes scores at least 70 points, and the bottom 151 institutions all fall within the 70–79 range. The practical takeaway for applicants is that the difference between a top-50 programme and a programme ranked 51–150 is not a gradual decline—it is a step change. The top 50 institutions are separated by meaningful score gaps, while the remaining 151 are clustered within a narrow band.

Rank Distribution: A Closer Look

The rank bands confirm this pattern. The top 10 contains 10 institutions, ranks 11–20 contain 10 more, and ranks 21–30 hold another 10. The 31–50 band contains 20 institutions, while the 51–100 band holds 50. The largest single block is ranks 101–150, which contains 101 institutions. There are no ranked programmes beyond 150.

This structure means that the bottom half of the ranking is far more crowded than the top half. The 101 institutions in ranks 101–150 represent more than half of the entire list, and they are all clustered within a 50-rank span. For students, this suggests that once a programme falls outside the top 100, the differences between individual institutions become much harder to distinguish based on rank alone.

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

What the Leading Indicators Show

The QS methodology for Data Science and Artificial Intelligence draws on academic reputation, employer reputation, citations, and other research metrics. The institutions that reach the highest score bands—those with scores of 90 or above—are distinguished not by a single strong indicator but by consistent performance across all dimensions. The 11 institutions in the 90-plus band represent the absolute top of the field, and their scores reflect both scholarly output and market recognition.

For applicants, the key insight is that reputation and research output move together at the top of the ranking. An institution that scores highly on academic reputation is very likely to also score well on employer reputation and citations, which is why the top 10 is so stable and why the gap between the top 50 and the rest is so pronounced.

Data Notes

The figures in this article come from the QS World University Rankings by Subject 2026, published by Quacquarelli Symonds (QS), with a data reference date of 2026-04-03. The subject ranking for Data Science and Artificial Intelligence covers 60 subject-specific tables in total, and the data for this article was parsed by subject name and filtered by country. Rank values are taken as the lower-bound integer. The ranking includes 201 institutions globally across 37 countries and regions. All scores are composite overall scores based on the QS methodology, which incorporates academic reputation, employer reputation, citations, H-index, and international research network indicators. The country leaderboard reflects the number of ranked institutions per country or region, not the number of applications or enrolments. The score bands and rank bands are derived from the published overall scores and ranks; no additional calculations have been performed.