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Last Updated: 03 Feb 2026

Applied AI & Analytics

Every click, like, and share generates a vast pool of data, and it’s in this data that the future of business and technology lies. As the demand for experts in Applied AI & Analytics continues to soar, there’s a pressing need for professionals who can harness the power of Artificial Intelligence and Data Operations to transform data into actionable insights, drive engagement, and maximize profits. If you're passionate about Generative AI, Data Analytics and Data Engineering, the Diploma in Applied AI & Analytics is the perfect course for you.

Course code: N81
Ngee Ann Polytechnic
Admission type: JAE, DAE, JPAE, Poly EAE, PFP
2026 JAE ELR2B2-C net aggregate: 3 - 11
Course duration: 3 years

Applicants with severe vision deficiency may encounter difficulties meeting the course requirements and expectations. Interested applicants with this condition are advised to contact Ngee Ann Polytechnic for more information.

This course was previously known as Data Science.

Learn more on:

Course details

Field of study
Information and Digital Technologies
Certification offered

Diploma in Applied AI & Analytics

Learn more about the course

Minimum entry requirement

You must meet the respective examination requirements in order for us to consider your application.

For N(A)-Level students seeking admission through PFP

This course is under the Design, Engineering and Technology cluster

SubjectGrade
English Language Syllabus A1-3
Mathematics Syllabus A / Additional Mathematics1-3

Any one of the following subjects

  • Design and Technology
  • Food and Nutrition/Nutrition and Food Science
  • Science (Chemistry, Biology)
  • Science (Physics, Biology)
  • Science (Physics, Chemistry)
1-3

Any 2 other subjects excluding CCA

    		1-4
    For O-Level students seeking admission through JAE
    SubjectGrade
    English Language1-7
    Additional Mathematics or Mathematics1-6

    Any one of the 2nd group of Relevant Subjects for the ELR2B2-C Aggregate Type

    • Biology
    • Biotechnology
    • Chemistry
    • Computing/Computer Studies
    • Creative 3D Animation
    • Design & Technology
    • Food & Nutrition/Nutrition & Food Science
    • Electronics/Fundamentals of Electronics
    • Exercise & Sports Science
    • Physics
    • Science (Chemistry, Biology)
    • Science (Physics, Biology)
    • Science (Physics, Chemistry)
    		1-6

    Course modules

    Year 1
    • Computing Mathematics
    • Cyber Security Fundamentals
    • Data Science Fundamentals
    • Legal and Compliance Technologies
    • Fundamentals for IT Professionals I
    • Programming I and II
    • Databases
    • Data Discovery and Visualisation
    • Mathematics for Data Science
    • Innovation Made Possible
    • Health and Wellness
    • Confident Communication: Find Your Voice
    • English Language Express (for selected students only)
    Year 2
    • Intelligent Enterprise Systems
    • Machine Learning I
    • Data Wrangling
    • Fundamentals for IT Professionals II
    • World Issues: A Singapore Perspective
    • Elective Module 1
    • Agile DataOps
    • Machine Learning II
    • Fundamentals for IT Professionals III
    • Emergine Trend in Data Science
    • Elective Module 2
    • Elective Module 3
    Year 3
    • Data Science Capstone Project or Elective Modules 4 and 5
    • Elective Modules 6 and 7
    • Project ID: Connecting the Dots
    • Internship I & II
    Elective modules

    Generative AI

    • Deep Learning
    • Generative AI Tools & Techniques
    • Generative AI Solutioning

    Data Engineering

    • Distributed Data Pipelines
    • Data Virtualisation
    • Data Lake and Data Warehouse

    General

    • Capstone Project
    • Internship II
    • Cloud Databases
    • Mobile Applications Development
    • Cloud Architecture and Technologies
    • Blockchain
    • Modern Artificial Intelligence
    • Artificial Intelligence Concepts and Techniques
    • Reinforcement Learning
    • Digital Transformation
    • Machine & Deep Learning Applications for Cybersecurity
    • AI Tools & Techniques for Cybersecurity
    • Emerging AI Trends in Cybersecurity
    • Designing User Experience
    • Customer Experience Management
    • Infocomm Sales and Marketing Strategies
    • Financial Ecosystem

    Internship

    Internship duration20 weeks
    Internship timeframeYear 3
    Internship periodSep to Feb or Mar to Mar (1-year)

    Career prospects

    You can explore the following career options upon graduation:

    • Data Analyst
    • Associate Data Engineer
    • Associate DataOps Engineer
    • Associate Business Analyst
    • Application Developer
    • Systems Analyst
    • IT Consulting Analyst

    Use resources and interactive tools that are available on MySkillsFuture Portal to explore various education and career pathways.

    How to register

    Joint Admissions Exercise (JAE)

    You may register using the JAE Internet System (JAE-IS). Learn the process and how to apply.

    Direct Admissions Exercise (DAE)

    You may apply through the respective polytechnics’ websites. Learn the process and how to apply.

    Joint Polytechnic Admissions Exercise (JPAE)

    You may register using the JPAE Portal. Learn the process and how to apply.

    Polytechnic Early Admissions Exercise (Poly EAE)

    You may register using the Poly EAE Portal. Learn the process and how to apply.

    Polytechnic Foundation Programme (PFP)

    You may register using the PFPAE Portal. Learn the process and how to apply.