Singapore Alone in Southeast Asia Has Two Universities in Computer Science Top 20

NUS and NTU Secure Singapore's Regional Lead

Singapore is the only country in Southeast Asia with universities among the world's top 20 for computer science in the Times Higher Education World University Rankings by Subject 2026. The National University of Singapore (NUS) placed 13th, while Nanyang Technological University (NTU) rose to 16th, giving the city state two institutions near the top of a table covering 1,165 universities across 84 countries and territories.

The results, released in January 2026, show a concentrated strength within a much larger regional field. Southeast Asia had 56 universities in the computer science rankings. Malaysia supplied the biggest national contingent, with 20 institutions, but Singapore alone secured places in the top 20.

NUS and NTU moved in opposite directions compared with 2025. NUS slipped two places from 11th to 13th, while NTU climbed three places from 19th to 16th. Just three ranking positions now separate the two universities, which remain among the leading institutions globally for the subject.

Singapore's achievement comes as competition from elsewhere in Asia grows. Peking University reached 10th place, becoming the first Chinese institution in a decade to enter the computer science top 10. Tsinghua University followed at 12th, ahead of both Singapore institutions, while the University of Oxford retained first place.

As of January 28, 2026, the rankings present two connected developments: Singapore continues to stand apart from its Southeast Asian neighbours, while Chinese universities are advancing in the same technological fields in which Singapore has built its international reputation.

What the Computer Science Table Measures

Times Higher Education assessed universities using 18 performance indicators covering teaching, the research environment, research quality, industry engagement and international outlook. These areas bring together several aspects of university activity, from education and research to relationships with businesses and connections across national borders.

Institutions also needed substantial research output to qualify for the computer science table. The publication threshold was at least 500 research publications between 2020 and 2024. This means the January 2026 results draw on research produced over several years, rather than work completed only in the year the rankings appeared.

A subject ranking examines a particular field, in this case computer science, rather than treating every discipline at a university as a single result. That focus helps explain why a university can hold different positions in computer science, engineering, or data science and artificial intelligence.

Oxford's continued leadership sits within a wider pattern of strength for universities in the United States and United Kingdom. Across all 11 subject areas assessed by Times Higher Education, institutions from those two countries collectively held 97 of the top 100 positions identified in the broader results.

China increased its number of top 10 placements across subject areas from four in the previous year to seven in 2026. Peking University's computer science breakthrough forms part of that wider advance, reflecting substantial state investment in strategic technology disciplines and growing research productivity in artificial intelligence, machine learning and cybersecurity.

Two Singapore Universities, Different Trajectories

NTU's rise from 19th to 16th gives Singapore an improving result alongside NUS's continued place near the top of the table. NUS remains the higher ranked of the pair in the Times Higher Education computer science assessment, despite its move from 11th to 13th.

Other major rankings place the universities differently. In the QS World University Rankings by Subject 2025, NTU ranked sixth globally for computer science, ahead of NUS. The U.S. News Best Global Universities Rankings placed NTU second worldwide for the subject and NUS fifth.

Each ranking applies its own rules for assessing universities. Some give greater weight to research citations and publication volume. Others place more weight on employer reputation or surveys of academics. Citations are references to a research paper in other research, while publication volume measures how much work an institution produces.

Those differences explain why NTU can rank above NUS in one assessment and below it in another. The Times Higher Education, QS and U.S. News results describe the universities through different combinations of evidence, giving readers several views of their strengths.

NTU also performs strongly in related fields. It ranks fifth globally for data science and artificial intelligence in the QS subject rankings and 14th for engineering in the Times Higher Education subject tables. These results connect its computer science standing with disciplines that apply computing to wider technical problems.

The key dates behind the comparison are:

• 2020 to 2024: The research publication period used for the minimum output requirement in the 2026 Times Higher Education computer science rankings.
• 2025: NUS ranked 11th and NTU 19th in the previous Times Higher Education computer science table; NTU ranked sixth in the QS computer science subject rankings.
• January 2026: Times Higher Education released the new subject rankings, placing NUS 13th and NTU 16th.
• January 28, 2026: Singapore remained the only Southeast Asian country with universities in the computer science top 20.

A Wide Gap Within Southeast Asia

Malaysia's 20 ranked institutions accounted for more than one third of Southeast Asia's 56 entries. Its representation shows a broader presence in the table than Singapore's two leading institutions, although no Malaysian university reached the top 50.

Singapore's position is therefore distinctive in two ways. It has universities near the global summit, and it concentrates that achievement in two institutions within a country of fewer than six million people. Malaysia's larger contingent demonstrates that the number of ranked universities and their positions near the top describe different aspects of a national university sector.

Indonesia, Thailand, Vietnam and the Philippines were largely absent from the upper rankings. The regional pattern highlights a substantial divide in research capacity and international academic visibility, even as universities across Southeast Asia participate in the same global assessment.

NUS and NTU compete with leading institutions in the United States, United Kingdom and China. Their standing gives Southeast Asia a presence in the highest ranks of computer science, but that presence remains concentrated in Singapore rather than spread widely across neighbouring countries.

How Other Asian Technology Centres Compare

India placed just one institution in the computer science top 100: the Indian Institute of Science (IISc) Bangalore, at 96th. The next Indian entrant, Amity University, appeared in the 251 to 300 bracket, a grouped range rather than an individual ranking position.

India's result contrasts with its large technology sector and reputation as a global centre for information technology services. The distance between commercial technology success and positions in an academic research ranking has prompted continuing debate about research funding and international collaboration in Indian higher education.

Hong Kong had three universities in the computer science top 50, led by the Hong Kong University of Science and Technology at 25th. South Korea's Korea Advanced Institute of Science and Technology (KAIST) ranked 32nd, while Japan's University of Tokyo placed 37th.

These established technology centres performed strongly, but their leading positions remained below Singapore's pair in the top 20. China presented a closer challenge at the highest level, with Peking University at 10th and Tsinghua at 12th.

Asia's results show why a single regional label can hide large differences. Singapore has concentrated strength in two universities, China is advancing near the top, Hong Kong has several institutions in the top 50, and India has a much smaller presence in the top 100 than its technology industry's scale might suggest.

Artificial Intelligence Brings Another Measure of Strength

Singapore also held a distinctive Southeast Asian position in the 2026 CSRankings figures for artificial intelligence. NTU ranked eighth worldwide and NUS 11th, making Singapore the only country in the region with two universities in the global top 20 for AI research.

CSRankings focuses on research output at leading computer science publication venues. Its assessment uses publication metrics rather than reputation surveys, tracking productivity at highly selective conferences in areas including machine learning, natural language processing, computer vision and robotics.

These fields address different computing tasks. Machine learning concerns systems that learn patterns from data; natural language processing concerns human language; computer vision concerns visual information; and robotics connects computing with machines that act in physical environments.

The publication focus produces a different ordering from the broader Times Higher Education table. NTU leads NUS in the cited AI results, while NUS leads NTU in the Times Higher Education computer science ranking.

Chinese institutions occupied seven positions in the CSRankings top 10. Tsinghua University and Shanghai Jiao Tong University tied for first globally in the cited CSRankings results, while Peking University held the top position specifically for AI research. Carnegie Mellon University represented the United States in third place, and KAIST was also among the leading institutions.

Singapore's eighth and 11th places put its two universities within this highly competitive research group. The results connect its broader computer science standing with research productivity in AI, a field receiving growing attention in the competition among universities.

Public Investment Connects Research With Practical Work

Singapore's performance across several rankings reflects decades of deliberate policy choices and substantial public investment in universities and research infrastructure. The government has made advanced computing and artificial intelligence central to its economic transformation strategy, supporting initiatives that benefit university research programmes.

The Singapore AI 2.0 project has strengthened NTU's capabilities in data science and machine learning. Its support extends to the university's Living Lab initiatives, where the campus serves as an active testing environment for Internet of Things technologies, edge computing and smart city applications.

Internet of Things technologies connect devices so they can collect and exchange information. Edge computing processes information close to where it is generated. At NTU, these areas give students and researchers opportunities to test computer science ideas against practical infrastructure challenges.

NUS has also used public support to develop specialised research centres in cybersecurity, quantum computing and computational biology. Its approach brings computer science together with subjects ranging from medicine to public policy to address complex societal problems.

NTU's strengths across computing, AI and engineering fit Singapore's wider effort to connect research with smart city infrastructure, sustainable technology and collaboration with industry. NUS's work across several disciplines follows a similar principle: linking advanced computing with national development priorities and practical needs.

These research environments help explain how Singapore has built internationally competitive institutions despite its small population. Resources are concentrated in areas where the universities can develop specialised expertise and connect academic work with economic goals.

What the Results Mean for Students and Employers

Prospective students now have two universities in Southeast Asia's computer science top 20 to consider, both in Singapore. NUS and NTU attract attention from global technology companies, with their reputations reflected in recruitment and graduate salaries.

Financial Times data cited for NTU's business and technology programmes put the average weighted annual salary three years after graduation above $186,000. That figure concerns the programmes and career stage specified, while the university's computer science ranking measures its position in a separate subject assessment.

NUS and NTU maintain close relationships with major technology companies. Those relationships support research collaborations, internships and recruitment routes, while helping curricula stay current with developments in generative AI, cybersecurity and quantum computing.

Singapore's concentration of computing expertise also serves the wider region. As neighbouring countries develop their digital economies, its universities act as hubs for advanced training, research collaboration and technology transfer, the movement of research knowledge into practical use.

The combination of university research and industry relationships supports Singapore's ambition to become Southeast Asia's main centre for innovation and digital services. For students, the relevant choice extends beyond a ranking number to the research fields, practical experience and professional connections associated with each institution.

East Asia Challenges Western Leadership

Phil Baty, chief global affairs officer at Times Higher Education, described the changing balance of university research as East Asian institutions gained ground:

The data offers further evidence of an emerging new world order where Western dominance of higher education and research is steadily being challenged by the rapidly rising powers of East Asia.

The United States and United Kingdom remain dominant at the top of most subject tables, but Asian universities are closing the gap in computer science, engineering and other fields with substantial technological applications. China's increase from four to seven top 10 placements across subject areas is one measure of that change.

Singapore faces this competition while maintaining its lead within Southeast Asia. Chinese universities are advancing, Indian institutions are expanding research capacity, and Singapore's relatively small size makes specialised excellence central to its approach.

NUS's move down two places and NTU's rise by three show that even established leaders experience changes in their positions. Both remain in the computer science top 20, supported by a wider pattern of strong results in other rankings and related subjects.

Singapore's achievement rests on sustained investment, research capacity and connections between universities and national priorities. The January 2026 results capture a country with fewer than six million people maintaining two institutions near the top of global computer science while the competition around them intensifies.

Key Points

• NUS ranked 13th and NTU 16th in the Times Higher Education computer science rankings for 2026, making Singapore Southeast Asia's only country represented in the top 20.
• NTU rose three places from 19th in 2025, while NUS fell two places from 11th.
• The table assessed 1,165 universities across 84 countries and territories using 18 performance indicators.
• Oxford ranked first, Peking University 10th and Tsinghua University 12th.
• Southeast Asia had 56 ranked universities, including 20 from Malaysia; none of Malaysia's institutions reached the top 50.
• IISc Bangalore, at 96th, was India's only institution in the computer science top 100.
• NTU ranked eighth and NUS 11th in the cited 2026 CSRankings AI results, giving Singapore two places in that top 20 as well.
• Chinese institutions occupied seven CSRankings top 10 positions, reflecting growing competition in advanced computing research.
• Public investment and university partnerships connect Singapore's research strengths with practical technology development, student training and industry recruitment.