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Last Updated: 26 Jun 2025

Applied AI & Analytics

Equips you in areas like extract, analyse, and manage complex data to help make strategic business decisions in various industry sectors and domains. You will develop competencies in managing big data, developing innovative applications and applying artificial intelligence technologies.

Course code : C43
Nanyang Polytechnic
Admission type: JAE , DAE , JPAE , Poly EAE , PFP
2025 JAE ELR2B2-C net aggregate: 5-9
Course duration : 3 years

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 Engineering & Technology sub-cluster

Subject Grade
English Language Syllabus A 1-3
Mathematics Syllabus A / Additional Mathematics 1-3

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
Subject Grade
English Language 1-7
Additional Mathematics or Mathematics 1-6

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

Core modules

  • Applied Mathematics in Computing
  • AI & Data Analytics
  • Business Innovation & Enterprise
  • Cybersecurity Technologies & Ethics
  • Database Design & Administration
  • Network Technologies
  • Programming
  • Statistical Research Methods
  • Web & UX Design
  • Web Development Project

Complementary electives

  • General Studies
Year 2

Core modules

  • Applied Machine Learning
  • Data Structures & Algorithms
  • Data Wrangling
  • Machine Learning Operations
  • Predictive Analytics & Forecasting
  • Applied Deep Learning
  • Data Processing on Big Data
  • Responsible AI for Sustainability
  • Full Stack Application Development

Complementary electives

  • General Studies

Prescribed electives (choose 1)

  • AI Innovation with MLOps Project
  • AI Innovation with Deep Learning Project
Year 3

Core modules

  • Final Year Project
  • Internship Programme or Overseas Internship Programme

Internship

Internship duration 22 weeks or 44 weeks
Internship timeframe Year 3

Career prospects

You can explore the following career options upon graduation:

  • AI Application Developer
  • Data Analyst
  • Data Engineer
  • ML Engineer
  • Business Analyst
  • Digital Marketing Executive
  • Entrepreneur
  • Web and Applications Specialist

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.