The National University of Singapore (NUS) has announced the 2026 edition of its Young Fellowship Programme, a month-long hybrid initiative designed to immerse senior undergraduate students in cutting-edge research environments with a particular emphasis on artificial intelligence and graduate studies. Organised by the NUS Graduate School in collaboration with the NUS School of Continuing and Lifelong Education, the programme runs from 22 June to 24 July 2026 and combines an intensive on-campus week with subsequent online tutorials and a final presentation.

Programme Overview and Structure

Participants spend the first week on the NUS campus engaging in lectures, workshops, laboratory visits and networking sessions led by NUS faculty and researchers. The on-site component runs from 22 to 26 June, after which the programme transitions to online tutorials from 26 June to 24 July, culminating in a final presentation on 24 July. The hybrid format allows selected students from around the world to experience Singapore’s premier research university without requiring long-term relocation.

The curriculum centres on artificial intelligence applications across multiple disciplines while introducing participants to NUS postgraduate pathways. Sessions cover foundational AI concepts, hands-on research methodologies, ethical considerations in AI development and career trajectories in academia and industry. Visits to state-of-the-art facilities such as the NUS AI Lab and partner research centres provide tangible exposure to ongoing projects in machine learning, natural language processing and robotics.

Eligibility and Target Participants

The programme targets senior undergraduates, typically those in their third year or above, who demonstrate strong academic records with a minimum CGPA of 3.0 on a 4.0 scale or equivalent. Applicants must possess a good command of English, though no formal language test such as IELTS is required. Students graduating in 2026 or 2027 are particularly encouraged to apply, as the experience is intended to inform decisions about graduate studies.

While open to talented scholars worldwide, the programme has drawn significant interest from partner institutions in Asia and beyond. Several universities, including those in Indonesia, the Philippines and India, have highlighted the opportunity for their students to participate, sometimes with institutional sponsorship covering travel or related costs.

Application Process and Timeline

Applications for the 2026 cohort close on 14 or 15 March 2026, depending on the source of information. The process is direct; no institutional nomination is required. Prospective participants submit academic transcripts, a statement of interest outlining their research aspirations and how the programme aligns with their goals, and at least one letter of recommendation from a faculty member.

Selection is competitive, with emphasis placed on academic excellence, demonstrated interest in AI or related fields, and potential for future contributions to research. Successful applicants receive confirmation well in advance of the June on-site week, allowing time for travel arrangements and visa preparations where necessary.

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Benefits and Support Provided

Selected fellows benefit from full access to NUS facilities during the on-site week, including accommodation support in some cases and meals during programme activities. There is no application fee, and the programme covers core educational components. For students from certain partner universities, additional sponsorship may cover international travel or provide stipends.

Beyond the immediate academic experience, participants gain exposure to NUS’s extensive postgraduate offerings. Information sessions detail scholarship opportunities, research assistant positions and pathways into master’s and doctoral programmes across engineering, computing, science and interdisciplinary fields. The networking component connects fellows with current NUS graduate students and faculty, fostering relationships that often extend beyond the programme duration.

Focus on Artificial Intelligence and Research Skills

Artificial intelligence serves as the thematic core for the 2026 programme, reflecting its transformative role across industries and academic disciplines. Lectures explore machine learning fundamentals, generative AI tools, AI ethics and governance, and sector-specific applications in healthcare, finance and urban planning. Hands-on workshops allow participants to experiment with AI models and datasets under the guidance of NUS researchers.

The emphasis on research skills extends beyond technical training. Sessions address literature review techniques, experimental design, data analysis and scientific communication. By the conclusion of the online component, fellows present their own mini-research projects or reflections on AI challenges, receiving feedback from programme mentors.

Impact on Participants and Broader Higher Education Landscape

Alumni of previous iterations of the NUS Young Fellowship Programme have reported increased clarity regarding graduate school applications and research careers. Many describe the experience as pivotal in deciding to pursue advanced degrees at NUS or similar institutions. The programme also contributes to NUS’s internationalisation goals by attracting diverse talent and strengthening ties with universities worldwide.

In the context of Singapore’s higher education sector, initiatives like this reinforce the city-state’s position as a global hub for research and innovation. The Ministry of Education’s support for lifelong learning and skills development aligns with the programme’s hybrid model, which accommodates working professionals or students with other commitments through its online elements.

Stakeholder Perspectives

NUS administrators have highlighted the programme’s role in identifying and nurturing future researchers. Faculty members involved in delivery note the enthusiasm and fresh perspectives brought by international participants. Student testimonials from prior cohorts emphasise the value of direct interaction with leading researchers and the inspiration derived from Singapore’s dynamic academic environment.

Partner institutions view the fellowship as a strategic opportunity to expose their undergraduates to world-class resources. In some cases, universities subsidise participation to build long-term academic collaborations and pipelines for graduate recruitment.

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Future Outlook and Expansion

With the 2026 edition marking the third iteration, the NUS Young Fellowship Programme appears poised for continued growth. Organisers have indicated plans to expand thematic focus areas in subsequent years while maintaining the core emphasis on research exposure and graduate opportunities. The hybrid format is likely to persist, balancing accessibility with immersive on-campus experiences.

As artificial intelligence continues to reshape higher education and the workforce, programmes that equip students with both technical skills and research mindsets will remain highly relevant. NUS’s strategic location in Asia further positions the fellowship as a bridge between regional talent and global research networks.

Practical Advice for Prospective Applicants

Interested students should begin preparing applications early, focusing on a compelling statement that connects personal research interests to the programme’s AI theme. Securing a strong recommendation letter and ensuring transcripts accurately reflect academic performance are essential steps. Reviewing the official NUS Graduate School pages for the most current details on eligibility and deadlines is recommended.

Those selected should plan for the on-site week by familiarising themselves with Singapore’s academic culture and preparing questions about postgraduate pathways. Engaging actively during both on-site and online components maximises the experience and potential for future collaborations.