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计算机科学与工程 · 🇸🇬 Singapore

最佳计算机科学与工程大学 新加坡 2026

在新加坡学习计算机科学与工程的最佳大学包括National University of Singapore (NUS), Nanyang Technological University (NTU), Singapore University of Technology and Design (SUTD)。BrightKey 已对4所大学的相关项目进行评估。

评估基于 BrightKey 的 6 维度评级和大学公开的知名项目数据。 编辑标准.

签证 & 工作权

No automatic post-study work visa; must secure employer-sponsored pass

申请系统

Direct application

国际学费

SGD 30,000–60,000/year

更多 新加坡留学指南 →

4 所推荐院校,按 BrightKey 评级排序

National University of Singapore (NUS)

Singapore · 建校 1905 · 30% 国际生

SSA

计算机科学与工程项目

  • NUS Computing — Computer Science and Information SystemsGraduates command a median starting salary of SGD 6,400 monthly. The faculty partners with Google, Microsoft Research Asia, and IBM on AI research, and benefits from Singapore's national target of training 40,000 AI-skilled workers by 2029.
Nanyang Technological University (NTU)

Singapore · 建校 1981 · 28% 国际生

ASA

计算机科学与工程项目

  • Materials Science and EngineeringRanked first in Asia and second globally by QS, with ARWU confirming world number one in Nanoscience. The school is among the largest materials engineering institutions worldwide, with fifty professors on Stanford's Top 2% Scientists list and direct industry pipelines to Micron, GlobalFoundries, and battery technology firms.
  • Electrical and Electronic EngineeringRanked fourth globally and first in Asia by QS 2026, overtaking NUS in 2025. The school employs over 120 full-time faculty and feeds directly into Singapore's semiconductor and telecommunications industries. Research spans 5G systems, power electronics, and integrated circuits.
  • Data Science and Artificial IntelligenceRanked fifth globally and first in Asia by QS 2026, with US News placing NTU second worldwide for AI in 2025. From August 2026, all undergraduates receive Google AI tools and computing credits. The programme benefits from President Ho Teck Hua's dual role as founding chairman of AI Singapore.
  • Renaissance Engineering ProgrammeA highly selective interdisciplinary engineering degree combining technical depth with business and leadership training. Students complete overseas immersions and industry attachments. Designed to produce engineering leaders rather than specialists, with cohorts of approximately fifty students per year.
Singapore University of Technology and Design (SUTD)

Singapore · 建校 2009 · 20% 国际生

BAA

计算机科学与工程项目

  • Engineering Product Development (EPD)The pillar most directly aligned with industrial design and product engineering. Combines mechanical engineering, electronics, materials, and design thinking. Graduates feed into Apple Singapore, Razer, Dyson Singapore, and the regional consumer electronics ecosystem.
  • Engineering Systems and Design (ESD)Operations research, supply chain, financial engineering, and systems thinking taught with a design-engineering frame. Closest SUTD pillar to a quantitative business or industrial engineering programme; graduates head to consulting, fintech, and operations roles.
  • Design AI Pillar (launched 2024)SUTD's newest pillar, formalizing the institutional bet that AI is becoming a design medium. Curriculum spans machine learning fundamentals, generative design tools, AI ethics, and human-AI interaction. Co-developed with MIT-SUTD Joint Lab partners and Apple Design Lab Singapore.
Singapore Management University (SMU)

Singapore · 建校 2000 · 30% 国际生

AAA

计算机科学与工程项目

  • Bachelor of Science in Computing and Information Systems (School of Computing and Information Systems)Renamed and restructured in 2022 to integrate AI and data science across all majors. Strong placement into Grab, Sea Group, Shopee, and the Singapore offices of Google, Microsoft, and TikTok. The 2024-2025 specialized AI tracks reflect Singapore's national AI strategy and create direct pipelines into the Smart Nation initiative and AI Singapore.

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