The National University of Singapore aspires to be a vital community of academics, researchers, staff, students and alumni working together in a spirit of innovation and enterprise for a better world.

Our singular focus on talent will be the cornerstone of a truly great university that is dedicated to quality education, influential research and visionary enterprise, in service of country and society.

National University of Singapore

Application Form

Our Students' Unique Value for Your Organisation



Admission Requirements:
  • Bachelor's degree in relevant fields with a minimum GPA of B
  • English language proficiency (TOEFL or IELTS)
  • GRE recommended for overseas applicants, optional for locals
  • Preferably two years of relevant working experience
Key Program Information:
  • Next intake: Jan 2024 (Part-Time), Aug 2024 (Full-Time)
  • Duration: 1 year for full-time, 2 years for part-time
  • Application deadlines: Nov 15, 2023, for Jan 2024 intake; Apr 30, 2024, for Aug 2024 intake
  • Entrance Test/GRE: Face-to-face and online options are available; dates vary
  • Recognition: Awards like the IBM Medal and Book Prize, Best Project Prize
Learning Outcomes:
  • Graduates will apply Intelligent Systems concepts to solve problems in various domains, lead development using contemporary tools, and design algorithms for strategic advantage.
Curriculum Structure:
  • Fundamental and Specialist courses cover areas such as analytics project management, statistics, data storytelling, big data analytics, customer analytics, and specialized predictive modeling.
  • Capstone Project & Internships: Students engage in a 5-month (full-time) or 7-12 month (part-time) industry project, contributing to the development of effective business strategies.
Admission Requirements:
  • Bachelor's degree, preferably in Science or Engineering, with a minimum GPA of B.
  • Proficiency in the English Language (TOEFL or IELTS for non-native English speakers).
  • GRE recommended for overseas applicants; optional for local applicants.
  • Preferably two years of relevant working experience in areas suitable for Intelligent Systems and Knowledge Engineering.
Key Program Information:
  • Next intake: Jan 2024 (Part-Time), Aug 2024 (Full-Time).
  • Duration: Full-time (1 year - 2 semesters), Part-time (2 years - 4 semesters).
  • Application Deadlines: Nov 15, 2023, for Jan 2024 intake; Apr 30, 2024, for Aug 2024 intake.
  • Entrance Test/GRE: Face-to-face and online options available on specified dates.
  • Recognition: Top student awards include the SPH Medal and Prize, Best Project Prize.
Learning Outcomes:
  • Graduates will apply Intelligent Systems concepts to solve problems in various domains, lead development using contemporary tools, and design algorithms for strategic advantage.
Curriculum Structure:
  • Fundamental and Specialist courses cover areas such as Intelligent Reasoning Systems, Pattern Recognition Systems, Intelligent Robotic Systems, Intelligent Sensing Systems, Intelligent Software Agents, Practical Language Processing, and Intelligent Financial Risk Management.
  • Specializations include Intelligent Reasoning Systems, Pattern Recognition Systems, Intelligent Robotic Systems, Intelligent Sensing Systems, and Intelligent Software Agents.
  • Capstone Project & Internships: Students engage in a 5-month (full-time) or 7-12 month (part-time) industry project, contributing to the development of effective Implement Intelligent Systems through the effective use of Artificial Intelligence and Knowledge Engineering tools and techniques.
Admission Requirements:
  • Bachelor's degree in Science or Engineering with a minimum GPA of at least B
  • Proficiency in English (TOEFL or IELTS)
  • GRE recommended for overseas applicants; optional for locals
  • Preferably two years of relevant working experience as a software engineer
Key Program Information:
  • Next Intake: Jan 2024 (Part-Time), Aug 2024 (Full-Time)
  • Duration: Full-time - 1 year (2 semesters), Part-time - 2 years (4 semesters)
  • Application Deadlines: Nov 15, 2023 (Part-Time), Apr 30, 2024 (Full-Time)
  • Entrance Test/GRE: Face-to-face (Jan 8, 2024), Online (Jan 8, Jan 23, Feb 6, 2024)
  • Recognition: Accenture Medal and Prize for top student, Best Project Prize for top project team
Learning Outcomes:
  • Become software architects capable of designing systems on major contemporary software platforms, technologies, and methodologies
  • Architect and design smart and secure systems
  • Architect and design smart and secure systems
Curriculum Structure:
Fundamental Courses:
  • Designing Modern Software Solutions
  • Essential Practices for Agile Teams
  • Software Analysis & Design
  • Software Design Patterns
  • DevSecOps Engineering and Automation
Specialist Courses:
  • Architecting Scalable Systems
  • Architecting Software Solutions
  • Platform Engineering
  • Cloud Native Solution Design
Capstone Project & Internships:
  • Duration: 5 months for full-time, 7 months for part-time
  • Team-based projects focusing on real-world software system development
Objectives:
  • Demonstrate technical and management skills, deliver fully-tested systems meeting company requirements
Admission Requirements:
  • Bachelor's degree in Science or Engineering with a minimum GPA of at least B
  • Proficiency in English (TOEFL or IELTS)
  • GRE recommended for overseas applicants; optional for locals
  • Preferably two years of relevant working experience as a software engineer
Key Program Information:
  • Next Intake: Jan 2024 (Part-Time), Aug 2024 (Full-Time)
  • Duration: Full-time - 1 year (2 semesters), Part-time - 2 years (4 semesters)
  • Application Deadlines: Nov 15, 2023 (Part-Time), Apr 30, 2024 (Full-Time)
  • Entrance Test/GRE: Face-to-face (Jan 8, 2024), Online (Jan 8, Jan 23, Feb 6, 2024)
  • Recognition: Accenture Medal and Prize for top student, Best Project Prize for top project team
Learning Outcomes:
  • Become software architects capable of designing systems on major contemporary software platforms, technologies, and methodologies
  • Architect and design smart and secure systems
  • Architect and design smart and secure systems
Curriculum Structure:
Fundamental Courses:
  • Designing Modern Software Solutions
  • Essential Practices for Agile Teams
  • Software Analysis & Design
  • Software Design Patterns
  • DevSecOps Engineering and Automation
Specialist Courses:
  • Architecting Scalable Systems
  • Architecting Software Solutions
  • Platform Engineering
  • Cloud Native Solution Design
Capstone Project & Internships:
  • Duration: 5 months for full-time, 7 months for part-time
  • Team-based projects focusing on real-world software system development
Objectives:
  • Demonstrate technical and management skills, deliver fully-tested systems meeting company requirements

Companies that employed NUS-ISS Talent



  • Accenture
  • AI Singapore
  • Ave Point
  • Bank of China
  • Black Sesame Technologies
  • ByteDance
  • DBS
  • DOXA Holdings
  • Foodpanda
  • Grab
  • Huawei
  • KAPPS Consulting
  • Mastercard
  • OCBC
  • Oracle
  • Pundi X
  • Seagate
  • Shopee
  • Singapore Airlines
  • Singapore ETH Centre
  • UOB
  • Visa
  • Yonyou (Singapore) Pte Ltd
Life at NUS - ISS


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