MDDI 演講稿 · 2025-08-01
高階政務次長 Tan Kiat How 在 NUS 計算機學院 50 週年慶典晚宴上的致辭
要點
- • 新加坡國立大學計算學院在 2025 年獲得亞洲電腦科學與資訊系統學科排名第一、全球第四。
- • 新加坡科技就業人數在過去五年增長 24%,從 2019 年的約 17.2 萬人(佔總就業人口 4.5%)增長至 2024 年的約 21.4 萬人(佔 5.3%)。
- • 新加坡國立大學計算學院本科及研究生入學人數在過去十年增長逾三倍,其中女性學生佔 2024/25 學年學生的四分之一以上。
- • 人工智慧與資料、網路安全和產品開發是新加坡在 2023 年增長最快的科技領域。
- • 2024 年新加坡國立大學計算學院學士學位畢業生的起薪中位數約為 6000 新元,大多數在畢業後六個月內就業。
- • 谷歌與新加坡國立大學建立新的聯合研究創新中心,重點關注應用人工智慧與計算。
完整譯文(繁體中文)
MDDI 英文原文譯文 · 翻譯日期: 2026-07-04
新加坡國立大學校長陳恩策教授
新加坡國立大學副校長(研究與技術)劉斌教授
新加坡國立大學計算機學院院長圖利卡·米特拉教授
尊敬的各位來賓
女士們、先生們
今晚與各位共同慶祝新加坡國立大學計算機學院(SoC)50週年紀念,深感榮幸。
孔子曾說過,「十五而志於學,三十而立,四十而不惑,五十而知天命。」
子曰:吾十有五而志於學,三十而立,四十而不惑,五十而知天命。
祝賀SoC五十年來的卓越成就和深知自己的使命!4. 過去50年來,SoC與新加坡同步發展。
過去50年來,SoC與新加坡同步發展。
在20世紀70年代和80年代,隨著新加坡經濟的快速工業化,當時的電腦科學系負責培訓我們第一代資訊科技專業人士。
在20世紀90年代,在我國成為智慧島嶼的全國計算機化努力中,電腦科學系發展成為獨立的計算機學院。
在21世紀初,該學院在對新加坡數字經濟至關重要的領域(如網路安全、資料科學和互動媒體)加深了與業界的合作伙伴關係。
SoC自1975年起步至今已取得長足進展。如今,SoC獲得了國際認可。
2025年,在電腦科學與資訊系統方面,排名亞洲第1,全球第4。
你們的校友在新加坡以及世界各地產生了深遠的影響。
以你們的校友Chong Chuan Neo女士為例,她是第一位領導埃森哲大中華地區的女性。如今,她擔任星展集團、萊佛士醫療集團和新航工程的董事會成員。
Tok Wee Hyong先生,微軟產品及人工智慧合作總監。
Jess Ng女士,Fortinet新加坡和汶萊國家經理。
Laurence Putra Franslay先生,TikTok美國公司企業站點可靠性工程(eSRE)工程負責人。
重要的是,SoC沒有忘記其使命,即培養一代代科技領導者和人才,推進新加坡「智慧國家」的目標。
我們在學院多年來的招生增長中看到了這一點,過去十年中本科和研究生課程的入學人數增加了兩倍以上,女性佔到你們2024/25學年班級的四分之一以上。
除了人才和研究卓越外,SoC通過與業界架起橋樑、將研究轉化為實際解決方案,在我們的科技生態系統中發揮了重要作用。
這包括與微軟、IBM、Sea、Grab等領先企業的合作伙伴關係。今晚,我們慶祝與谷歌的新合作,旨在與新加坡國立大學建立聯合研究和創新中心,重點關注應用人工智慧和電腦科學。
通過讓教師和學生與業界並肩合作,研究可以解決實際的市場需求,學生可以學習業界的開發實踐。
這些合作伙伴關係為業界提供了人才渠道,同時為學生提供了寶貴的經驗。
如今,我們處於技術發展的另一個關鍵時刻。
人工智慧正在重塑行業和重新定義工作,從人工智慧驅動的編碼工具到自動化內容生成。
我知道這種轉變對某些人來說可能會令人不安——無論你是剛進入職場的應屆畢業生,還是在這個行業已工作數年的人。
根據我們聽到的情況,科技專業人才的需求已有所放緩。企業仍在招聘,但與幾年前相比可能步伐較慢,這是由於多種原因,包括全球經濟存在的不確定性。
與此同時,我們預計新加坡對科技職位的需求將保持強勁。這些職位是前景良好的好工作。
科技就業人數在過去5年增長了24%。
從2019年的近172,000人(佔總就業人數的4.5%)增至2024年的近214,000人(佔總就業人數的5.3%)。
AI與資料、網路安全和產品開發是2023年增長較快的科技領域。
科技專業畢業生也獲得具競爭力的起始薪資,月薪中位數為5,600美元,比普通應屆畢業生高25%。
事實上,NUS SoC 2024屆計算機學士學位畢業生的起始月薪中位數約為6,000美元,大多數在完成期末考試後的六個月內找到工作。這些是良好的就業成果和具競爭力的薪資。
機遇不僅限於科技公司,還延伸到非科技領域。
根據世界經濟論壇《未來工作報告》,77%的受調查僱主計劃在2030年前對現有員工進行再培訓和提升,以便更有效地與AI協作。
物流、金融和醫療等領域積極尋求科技專業人士推動AI創新。例如,物流企業正在尋找能夠理解機器學習演算法並將其應用於供應鏈最佳化等特定領域需求的AI專業人士。
在新加坡,非科技領域的科技崗位佔我們科技勞動力的近6成。隨著更多領域在其業務中應用AI,不同領域對科技崗位的需求將增加,特別是在非科技領域。
然而,我們可以也應該預期,未來的科技崗位將隨著AI的發展而演變。
鑑於技術變化的速度,進入NUS的學生可以預期在畢業時進入一個不同的世界。在過去的幾個月裡,我一直在與科技專業人士的主要僱主交流,以瞭解在這個快速變化的科技形勢中他們對我們畢業生的看法。
基於與他們的交流,讓我為SoC的下一階段工作提出三項建議。
首先,加強深厚技術基礎與必要軟技能之間的關係。
隨著AI編碼工具對程式設計師變得更加易得,對超越編碼能力的技能將有更大的強調。明確地說,編碼和基礎技能仍然很重要。實際上,優秀的使用者應該能夠在使用這些工具時指定他們想要生成的程式碼。
但更重要的是,將強調其他技能,如批判性思維和問題解決,以確保他們開發的任何程式碼都能有效地解決問題,或者他們首先是否在解決正確的問題。
僱主將重視知道如何掌握和應用這些技能的科技專業人士。
同樣重要的是軟技能,如商業眼光、溝通和領導力,以應對市場需求並領導技術團隊。
市場越來越重視那些在某一領域具有深厚技術專長、在多個領域具有廣泛能力的人才。
這意味著能夠將技術專長與領域知識結合的計算機畢業生將處於很好的位置來把握未來的機遇。
其次,採納以人為本的計算。這是一種思維方式,將人放在我們開發的系統和解決方案的核心,反映同情心和倫理。
從根本上說,這是關於社會是否信任AI和數字系統。沒有信任,AI和科技的採納將幾乎不可能。
但信任不僅僅通過技術穩健性來建立,而是通過理解人們如何生活、工作和互動的深思熟慮的設計來建立。
例如,當我們構建AI模型以支援醫療或就業等領域的決策時,我們應確保這些模型是透明、公平、穩健和可解釋的。
如果公民認為他/她受到做出推薦的數字系統的不公平對待,就會對這些本應幫助我們的技術失去信心。
這就是為什麼同情心、倫理和利用技術創新為社會創造切實益處的能力將是下一代計算機專業人士的寶貴品質。
第三,為了實現前兩點,我們需要在學術界和產業之間建立更強的橋樑。
但除了正式合作伙伴關係外,校友參與至關重要。
我想鼓勵SoC擁有23,000名校友的強大校友網路積極指導學生、提供實習機會並分享你們在連線理論與應用方面的知識。
今晚,我們慶祝NUS SoC的成就和未來的機遇。
即使在這個快速變化的技術形勢中面臨挑戰,我希望我們記住技術可以成為一股向善的力量。
我們必須抓住每一個機會,使其成為現實。
我相信NUS SoC將繼續這樣做,因為你們正在培養自信、富有同理心和原則性的領導者,他們將在各個領域和行業中抓住機會產生有意義的影響。
我期待前方更多的美好年月,祝SoC 50週年快樂。
英文原文
MDDI 官網原始記錄 · 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.