Last Updated: 24 Feb 2026

Applied Artificial Intelligence

Learn to develop chatbots, leverage on natural language processing technologies to determine human sentiments and classify text, undertake object recognition projects that enable you to identify objects such as car plate numbers, and learn to use machine learning and deep learning algorithms to develop creative new solutions for businesses and industry.

Course code: T69
Temasek Polytechnic
Admission type: JAE, JPAE, Poly EAE, PFP, DAE
2026 JAE ELR2B2-C net aggregate: 4 - 9
Course duration: 3 years

Applicants with severe vision impairment may have difficulties meeting the course requirements and expectations. Interested applicants with these conditions should contact Temasek Polytechnic for more information.

Course details

Field of study
Information and Digital Technologies
Track/Specialisation

This course offers the following tracks or specialisation:

  • Applied Artificial Intelligence
  • Applied Machine Learning
  • Applied Deep Learning
  • Application Development
Certification offered

Diploma in Applied Artificial Intelligence

Learn more about the course

Minimum entry requirement

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

This course is under the Engineering & Technology sub-cluster

SubjectGrade
English Language Syllabus A1-3
Mathematics Syllabus A / Additional Mathematics1-3
One of the following relevant 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

    Diploma-related modules

    • Logic and Mathematics_x000D_
    • Data Visualisation and Analytics_x000D_
    • Computational Thinking_x000D_
    • User Experience and Interface Design_x000D_
    • Cybersecurity Fundamentals_x000D_
    • Network and Cloud Technology_x000D_
    • Database Application Development_x000D_
    • Data Structures and Algorithms_x000D_
    • Application Development Project

    General modules

    • Career Readiness _x000D_
    • Leadership Fundamentals_x000D_
    • Current Issues & Critical Thinking _x000D_
    • Sports & Wellness
    Year 2

    Diploma-related modules

    • Mobile App Development
    • AI and Ethics
    • Deep Learning and Object Recognition
    • Natural Language Processing
    • Robotic Process Automation
    • IoT Application Development
    • Cloud Technologies for AI
    • Machine Learning for Developers

    General modules

    • Effective Communication_x000D_
    • Professional Communication_x000D_
    • Leadership in Action_x000D_
    • Innovation and Entrepreneurship_x000D_
    • Global Studies_x000D_
    • Sustainability & Climate Action/Guided Learning

    * Students must choose to take either one of these subjects or Guided Learning

    Year 3

    Diploma-related modules

    • AI for Advanced Manufacturing
    • AI for Cybersecurity
    • Major Project

    General modules

    • Career Management_x000D_
    • Student Internship Programme

    Internship

    Internship duration24 weeks
    Internship timeframeYear 3

    Career prospects

    You can explore the following career options upon graduation:

    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.

    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.

    Direct Admissions Exercise (DAE)

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