MDDI 演讲稿 · 2025-08-01
高级政务次长 Tan Kiat How 在 NUS 计算机学院 50 周年庆典晚宴上的致辞
高级政务次长 Tan Kiat How 在 NUS 计算机学院 50 周年庆典晚宴上的致辞
要点
- • 新加坡国立大学计算学院在 2025 年获得亚洲计算机科学与信息系统学科排名第一、全球第四。
- • 新加坡科技就业人数在过去五年增长 24%,从 2019 年的约 17.2 万人(占总就业人口 4.5%)增长至 2024 年的约 21.4 万人(占 5.3%)。
- • 新加坡国立大学计算学院本科及研究生入学人数在过去十年增长逾三倍,其中女性学生占 2024/25 学年学生的四分之一以上。
- • 人工智能与数据、网络安全和产品开发是新加坡在 2023 年增长最快的科技领域。
- • 2024 年新加坡国立大学计算学院学士学位毕业生的起薪中位数约为 6000 新元,大多数在毕业后六个月内就业。
- • 谷歌与新加坡国立大学建立新的联合研究创新中心,重点关注应用人工智能与计算。
完整译文(中文)
MDDI 英文原文译文 · 翻译日期: 2026-07-04
新加坡国立大学校长陈恩策教授
新加坡国立大学副校长(研究与技术)刘斌教授
新加坡国立大学计算机学院院长图利卡·米特拉教授
尊敬的各位来宾
女士们、先生们
今晚与各位共同庆祝新加坡国立大学计算机学院(SoC)50周年纪念,深感荣幸。
孔子曾说过,「十五而志于学,三十而立,四十而不惑,五十而知天命。」
子曰:吾十有五而志于学,三十而立,四十而不惑,五十而知天命。
祝贺SoC五十年来的卓越成就和深知自己的使命!4. 过去50年来,SoC与新加坡同步发展。
过去50年来,SoC与新加坡同步发展。
在20世纪70年代和80年代,随着新加坡经济的快速工业化,当时的计算机科学系负责培训我们第一代信息技术专业人士。
在20世纪90年代,在我国成为智能岛屿的全国计算机化努力中,计算机科学系发展成为独立的计算机学院。
在21世纪初,该学院在对新加坡数字经济至关重要的领域(如网络安全、数据科学和交互媒体)加深了与业界的合作伙伴关系。
SoC自1975年起步至今已取得长足进展。如今,SoC获得了国际认可。
2025年,在计算机科学与信息系统方面,排名亚洲第1,全球第4。
你们的校友在新加坡以及世界各地产生了深远的影响。
以你们的校友Chong Chuan Neo女士为例,她是第一位领导埃森哲大中华地区的女性。如今,她担任星展集团、莱佛士医疗集团和新航工程的董事会成员。
Tok Wee Hyong先生,微软产品及人工智能合作总监。
Jess Ng女士,Fortinet新加坡和文莱国家经理。
Laurence Putra Franslay先生,TikTok美国公司企业站点可靠性工程(eSRE)工程负责人。
重要的是,SoC没有忘记其使命,即培养一代代科技领导者和人才,推进新加坡「智慧国家」的目标。
我们在学院多年来的招生增长中看到了这一点,过去十年中本科和研究生课程的入学人数增加了两倍以上,女性占到你们2024/25学年班级的四分之一以上。
除了人才和研究卓越外,SoC通过与业界架起桥梁、将研究转化为实际解决方案,在我们的科技生态系统中发挥了重要作用。
这包括与微软、IBM、Sea、Grab等领先企业的合作伙伴关系。今晚,我们庆祝与谷歌的新合作,旨在与新加坡国立大学建立联合研究和创新中心,重点关注应用人工智能和计算机科学。
通过让教师和学生与业界并肩合作,研究可以解决实际的市场需求,学生可以学习业界的开发实践。
这些合作伙伴关系为业界提供了人才渠道,同时为学生提供了宝贵的经验。
如今,我们处于技术发展的另一个关键时刻。
人工智能正在重塑行业和重新定义工作,从人工智能驱动的编码工具到自动化内容生成。
我知道这种转变对某些人来说可能会令人不安——无论你是刚进入职场的应届毕业生,还是在这个行业已工作数年的人。
根据我们听到的情况,科技专业人才的需求已有所放缓。企业仍在招聘,但与几年前相比可能步伐较慢,这是由于多种原因,包括全球经济存在的不确定性。
与此同时,我们预计新加坡对科技职位的需求将保持强劲。这些职位是前景良好的好工作。
科技就业人数在过去5年增长了24%。
从2019年的近172,000人(占总就业人数的4.5%)增至2024年的近214,000人(占总就业人数的5.3%)。
AI与数据、网络安全和产品开发是2023年增长较快的科技领域。
科技专业毕业生也获得具竞争力的起始薪资,月薪中位数为5,600美元,比普通应届毕业生高25%。
事实上,NUS SoC 2024届计算机学士学位毕业生的起始月薪中位数约为6,000美元,大多数在完成期末考试后的六个月内找到工作。这些是良好的就业成果和具竞争力的薪资。
机遇不仅限于科技公司,还延伸到非科技领域。
根据世界经济论坛《未来工作报告》,77%的受调查雇主计划在2030年前对现有员工进行再培训和提升,以便更有效地与AI协作。
物流、金融和医疗等领域积极寻求科技专业人士推动AI创新。例如,物流企业正在寻找能够理解机器学习算法并将其应用于供应链优化等特定领域需求的AI专业人士。
在新加坡,非科技领域的科技岗位占我们科技劳动力的近6成。随着更多领域在其业务中应用AI,不同领域对科技岗位的需求将增加,特别是在非科技领域。
然而,我们可以也应该预期,未来的科技岗位将随着AI的发展而演变。
鉴于技术变化的速度,进入NUS的学生可以预期在毕业时进入一个不同的世界。在过去的几个月里,我一直在与科技专业人士的主要雇主交流,以了解在这个快速变化的科技形势中他们对我们毕业生的看法。
基于与他们的交流,让我为SoC的下一阶段工作提出三项建议。
首先,加强深厚技术基础与必要软技能之间的关系。
随着AI编码工具对程序员变得更加易得,对超越编码能力的技能将有更大的强调。明确地说,编码和基础技能仍然很重要。实际上,优秀的用户应该能够在使用这些工具时指定他们想要生成的代码。
但更重要的是,将强调其他技能,如批判性思维和问题解决,以确保他们开发的任何代码都能有效地解决问题,或者他们首先是否在解决正确的问题。
雇主将重视知道如何掌握和应用这些技能的科技专业人士。
同样重要的是软技能,如商业眼光、沟通和领导力,以应对市场需求并领导技术团队。
市场越来越重视那些在某一领域具有深厚技术专长、在多个领域具有广泛能力的人才。
这意味着能够将技术专长与领域知识结合的计算机毕业生将处于很好的位置来把握未来的机遇。
其次,采纳以人为本的计算。这是一种思维方式,将人放在我们开发的系统和解决方案的核心,反映同情心和伦理。
从根本上说,这是关于社会是否信任AI和数字系统。没有信任,AI和科技的采纳将几乎不可能。
但信任不仅仅通过技术稳健性来建立,而是通过理解人们如何生活、工作和互动的深思熟虑的设计来建立。
例如,当我们构建AI模型以支持医疗或就业等领域的决策时,我们应确保这些模型是透明、公平、稳健和可解释的。
如果公民认为他/她受到做出推荐的数字系统的不公平对待,就会对这些本应帮助我们的技术失去信心。
这就是为什么同情心、伦理和利用技术创新为社会创造切实益处的能力将是下一代计算机专业人士的宝贵品质。
第三,为了实现前两点,我们需要在学术界和产业之间建立更强的桥梁。
但除了正式合作伙伴关系外,校友参与至关重要。
我想鼓励SoC拥有23,000名校友的强大校友网络积极指导学生、提供实习机会并分享你们在连接理论与应用方面的知识。
今晚,我们庆祝NUS SoC的成就和未来的机遇。
即使在这个快速变化的技术形势中面临挑战,我希望我们记住技术可以成为一股向善的力量。
我们必须抓住每一个机会,使其成为现实。
我相信NUS SoC将继续这样做,因为你们正在培养自信、富有同理心和原则性的领导者,他们将在各个领域和行业中抓住机会产生有意义的影响。
我期待前方更多的美好年月,祝SoC 50周年快乐。
英文原文
MDDI 官网原始记录 · 抓取日期: 2026-07-04
Professor Tan Eng Chye, President of NUS
Professor Liu Bin, NUS Deputy President (Research and Technology)
Professor Tulika Mitra, Dean, NUS School of Computing
Distinguished Guests
Ladies and Gentlemen
It is a pleasure to celebrate the NUS School of Computing’s (SoC) 50th anniversary with you tonight.
Confucius once said, “At fifteen my heart was set on learning, at thirty I stood firm, at forty I had no more doubts, at fifty I knew the will of heaven.”
子曰:吾十有五而志于学,三十而立,四十而不惑,五十而知天命。
Congratulations to SoC on five decades of excellence and knowing your destiny! 4. Over the last 50 years, SoC has grown in lockstep with Singapore.
Over the last 50 years, SoC has grown in lockstep with Singapore.
In the 1970s and 80s, as Singapore’s economy rapidly industrialised, the then-Department of Computer Science was responsible for training our first generation of IT professionals.
In the 1990s, amid our national computerisation effort to become an intelligent island, the Department of Computer Science grew into a standalone School of Computing.
In the 2000s, the School deepened partnerships with industry in domains crucial to Singapore’s digital economy, such as cybersecurity, data science and interactive media.
SoC has come far since its modest beginnings in 1975. Today, SoC is internationally recognised.
Ranked 1st in Asia and 4th globally for computer science and information systems in 2025.
Your alumni are making waves in Singapore and around the world.
Consider your alumnus, like Ms. Chong Chuan Neo, who is the first woman to lead Accenture Greater China. Today, she serves on the boards of OCBC, Raffles Medical Group, and SIA Engineering.
Mr. Tok Wee Hyong, Partner Director of Products & AI at Microsoft.
Ms. Jess Ng, Country Manager of Fortinet for Singapore and Brunei.
Mr. Laurence Putra Franslay, Engineering Leader for eSRE (Enterprise Site Reliability Engineering) at TikTok, US.
Importantly, SoC has not forgotten its mission, which is to nurture generations of tech leaders and talent to drive Singapore’s Smart Nation ambitions.
We have seen this in the school’s growing cohorts over the years, with enrolment for both undergraduate and graduate programmes having more than tripled in the past decade, and women making up more than a quarter of your AY2024/25 cohort.
Apart from talent and research excellence, SoC plays an important role in our tech ecosystem by bridging the gap with industry and translating research into real-world solutions.
This includes partnerships with leading firms like Microsoft, IBM, Sea, Grab. And tonight, we celebrate a new collaboration with Google to establish a joint research and innovation centre with NUS, focusing on Applied AI and Computing.
By enabling faculty and students to work alongside industry, research can address real market needs and students can learn industry development practices.
These partnerships provide industry access to talent while offering students invaluable experiences.
Today, we stand at another pivotal point in technological development.
AI is reshaping industries and redefining work, from AI-driven coding tools to automated content generation.
I know that this transformation will feel unsettling for some – whether you are a fresh graduate entering the workforce or someone who has been in this industry for some years.
Anecdotally, we understand that demand for tech professionals has softened. Firms are still hiring but perhaps at a slower pace compared to a few years ago due to various reasons, including the cloud of uncertainty hanging over the global economy.
At the same time, we envisage that demand for tech roles in Singapore will remain robust. These roles are good jobs with good career prospects.
Tech employment has grown by 24% over the last 5 years.
From near 172,000 (or 4.5% of total employment) in 2019 to almost 214,000 (or 5.3% of total employment) in 2024.
AI & Data, Cyber Security and Product Development were among the faster-growing tech domains in 2023.
Tech graduates also earn competitive starting salaries, with a median monthly wage of $5,600, or 25% higher than the average fresh graduate.
In fact, NUS SoC graduates with a Bachelor of Computing in 2024 earned median monthly wages starting from around $6,000, and most are employed within six months of completing their final exam. These are good employment outcomes and competitive salaries.
Opportunities extend beyond tech companies to non-tech sectors.
According to the WEF Future of Jobs Report, 77% of surveyed employers plan to reskill and upskill the existing workforce to work more effectively alongside AI by 2030.
Sectors such as logistics, finance, and healthcare are actively seeking tech professionals to drive AI innovation. For instance, logistics firms are looking for AI professionals who can understand machine learning algorithms and apply it to domain-specific needs such as supply chain optimisation.
In Singapore, tech roles in non-tech sectors account for close to 6 in 10 of our tech work force. As more sectors apply AI in their domains, there will be greater demand for tech roles across different sectors, particularly in non-tech sectors.
However, we can and should expect that tech roles of the future will evolve with AI.
With the speed of technological change, students coming into NUS can expect to enter a different world by graduation. Over the last few months, I have been speaking to key employers of tech professionals to understand what they value about our graduates in this rapidly changing tech landscape.
Based on my engagements with them, let me make three suggestions for SoC in its next phase of work.
First, strengthen the relationship between deep technical fundamentals and essential soft skills.
With AI-coding tools becoming more accessible to programmers, there will be a greater emphasis on skills beyond an ability to code. To be clear, coding and fundamental skills sets remain important. In fact, a good user should be able to specify what code they want generated when using these tools.
But more importantly, there will be emphasis on other skills, such as critical thinking and problem solving to ensure that any code they develop contributes to solving a problem statement effectively, or whether they are even solving the right problem in the first place.
Employers will value tech professionals who know how to possess and apply these skills.
Equally important are soft skills such as business acumen, communication and leadership to navigate market needs and lead technical teams.
The market increasingly values those with deep technical expertise in one area and broad competency across multiple domains.
What this means is that computing graduates who can bridge their technical expertise with domain knowledge will be well-positioned to seize opportunities in the future.
Second, embrace human-centric computing. This is a mindset that puts people at the heart of the systems and solutions we develop and reflects empathy and ethics.
Fundamentally, it is about whether society trusts the AI and digital systems. Without trust, adoption of AI and tech will be almost impossible.
But trust is not built just by technical robustness, but through thoughtful design that understands how people live, work and interact.
For example, when we build AI models to support decision-making in areas like healthcare or employment, we should ensure that these models are transparent, fair, robust and explainable.
If a citizen feels that he/she is unfairly treated by a digital system making a recommendation, confidence is lost in the very technologies that are meant to help us.
That is why empathy, ethics and the ability to harness technological innovation to create tangible benefits for society will be valuable attributes for the next generation of computing professionals.
Third, to achieve the first two points, we need to build stronger bridges between academia and industry.
But beyond formal partnerships, alumni participation is critical.
I want to encourage SoC’s 23,000 strong alumni network to actively mentor students, offer internships and share your knowledge in bridging theory and application.
Tonight, we celebrate NUS SoC's achievements and the opportunities ahead.
And even amid the challenges in this rapidly changing technology landscape, I hope we remember that technology can be a force for good.
We must find every opportunity to make it a reality.
I trust that NUS SoC will continue to do so, as you nurture leaders who are confident, empathetic, and principled in seizing opportunities to make meaningful impact in all domain and in all sectors.
I look forward to many more years ahead, and I wish SoC a happy 50th anniversary.