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Applied AI & Analytics
The course aims to nurture the next generation of AI & Analytics professionals, equipped to develop innovative AI applications and adept at implementing solutions across a range of organisational and business challenges.
Course details
| Field of study | Information and Digital Technologies |
| Certification offered | Diploma in Applied AI & Analytics |
Minimum entry requirement
You must meet the respective examination requirements in order for us to consider your application.
This course is under the Design, Engineering and Technology cluster
| Subject | Grade |
|---|---|
| English Language Syllabus A | 1-3 |
| Mathematics Syllabus A / Additional Mathematics | 1-3 |
Any one of the following subjects
| 1-3 |
Any 2 other subjects excluding CCA | 1-4 |
| 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
| 1-6 |
Course modules
Diploma Modules
- AI and Machine Learning
- Back-End Web Development
- Computer Organisation
- Front-End Web Development
- Mathematics
- Programming for Data Analytics
- Programming Methodology
- Statistics for Data Science
- Education and Career Guidance
- Financial Education 1
- Wellness for Life
- Elective 1
Common Core Curriculum
- Artificial Intelligence and Its Impact
- Collaboration in the Digital Age
- Data Fluency
- Effective Writing for the Workplace
- Problem Solving with Creative and Computational Thinking
- Thinking Critically about the UN SDGs
Diploma Modules
- Agile MLOps
- Data Engineering
- Data Structures and Algorithm (AI)
- Data Visualisation
- Deep Learning
- Mathematics for AI
- Big Data Technologies (Course Elective)
- Generative AI with Large Language Models (Course Elective)
- Graph Analytics for Data Science (Course Elective)
- Financial Education 2
- Financial Education 3
- Elective 2
- Elective 3
Common Core Curriculum
- Digital Communication for Impact
- Personal Branding and Career Agility
- Persuasive Communication with Data Storytelling
- Sustainable Innovation Project
In year 2 semester 2, students can opt into Industry Project Pathway. In lieu of attending module classes, students learn through projects and gain credits and exposure to the latest technologies.
Year-Long Internship Pathway
- Internship (44 weeks)
Industry Project Pathway
- Applied AI and Analytics Project
- Internship (22 weeks)
University Pathway
- Applied AI and Analytics Project
- Computing Electives (Administered by University)
Option to take:
- Elective 4
- Elective 5
In Year 3, students can choose to continue their training in one of the three pathways.
Internship
| Internship duration | 22 weeks or 44 weeks |
| Internship timeframe | Year 3 |
Career prospects
You can explore the following career options upon graduation:
- Application/Software Developer
- AI Application Developer
- AI/ML Engineer
- Data Analyst
- Data Engineer
Use resources and interactive tools that are available on MySkillsFuture Portal to explore various education and career pathways.
How to register
You may register using the JAE Internet System (JAE-IS). Learn the process and how to apply.
You may apply through the respective polytechnics’ websites. Learn the process and how to apply.
You may register using the JPAE Portal. Learn the process and how to apply.
You may register using the Poly EAE Portal. Learn the process and how to apply.
You may register using the PFPAE Portal. Learn the process and how to apply.