The Diploma in AI with Business Applications is designed to equip learners with practical knowledge and skills in Artificial Intelligence (AI), machine learning, data analysis, programming, and the application of AI technologies in business and industry.
This programme provides learners with a strong foundation in AI fundamentals, machine learning, deep learning, neural networks, Python programming, computer vision, natural language processing, reinforcement learning, AI ethics, and business-focused AI applications.
Through face-to-face classroom learning, guided projects, practical activities, and individual and group project work, students will learn how to apply AI concepts to real-world business problems and strengthen their programming, analytical, and problem-solving capabilities.
The course is suitable for aspiring data analysts, business professionals, IT professionals, entrepreneurs, operations managers, graduates, career changers, consultants, and individuals who wish to develop practical AI capabilities for modern business environments.
Target Audience
- Aspiring data analysts who wish to interpret data and apply AI techniques to business problems;
- Business professionals, managers, and strategy personnel seeking to understand how AI can support innovation, productivity, and decision-making;
- IT professionals and software engineers who wish to expand their expertise into AI, machine learning, and business applications;
- Entrepreneurs, start-up founders, operations managers, product managers, consultants, and industry advisors interested in AI integration;
- Graduates and career changers who wish to build practical AI knowledge and improve employability in AI-related business roles.
Mode of Delivery
Face-to-face, instructor-led classroom learning with guided projects and practical activities.
Average Teacher to Student Ratio
1:10
Duration & Schedule
| Mode | Part Time | Full Time |
|---|---|---|
| Course Duration | 10 months | 6 months |
| Schedule | 3 sessions per week, 3 hours per session | 5 sessions per week, 3 hours per session |
| Total Course Hours | 360 hours | 360 hours |
Modules
| Module | Module Title | Contact Hours | Assessment |
|---|---|---|---|
| 01 | Introduction to AI | 36 | Assessment |
| 02 | Machine Learning Fundamentals | 36 | Assessment |
| 03 | Deep Learning and Neural Networks | 36 | Assessment |
| 04 | Advanced Python and Packages for Deep Learning | 36 | Assessment |
| 05 | Computer Vision | 36 | Assessment |
| 06 | Natural Language Processing | 36 | Assessment |
| 07 | Reinforcement Learning | 36 | Assessment |
| 08 | AI Ethics and Bias | 36 | Assessment |
| 09 | AI in Business and Industry | 36 | Assessment |
| 10 | AI in Healthcare | 36 | Assessment |
Read more about our modules here.
Next Intakes
| Intake | Start Date | End Date | Closing Registration |
|---|---|---|---|
| Part time | 02/11/2026 | 02/09/2027 | 02/11/2026 |
| 01/03/2027 | 01/01/2028 | 01/03/2027 | |
| Full time | 02/11/2026 | 02/05/2027 | 02/11/2026 |
| 01/03/2027 | 01/09/2027 | 01/03/2027 |
Part Time Course Fee:
| Fee | Total Payable (with GST, if any) (S$) |
|---|---|
| Registration Fee (Non-Refundable) | 100.00 |
| Course Fee | 3988.00 |
| Materials Fee | 0.00 |
| IWC insurance | 0.00 |
| Total Course Fees Payable | 4088.0 |
** Monthly Installment Plan Available **
Full Time Course Fee:
| Fee | Total Payable (with GST, if any) (S$) |
|---|---|
| Registration Fee (Non-Refundable) | 100.00 |
| Course Fee | 5988.00 |
| Material Fee | 0.00 |
| IWC Insurance | 0.00 |
| Total Course Fees Payable | 6088.00 |
** Monthly Installment Plan Available **
Refund Policy
| % of Total Course Fee | If Student’s written notice of withdrawal is received: |
|---|---|
| 70% | More than 21 days before the Course Commencement Date |
| 50% | Before, but not more than 14 days before the Course Commencement Date |
| 20% | After, but not more than 3 days after the Course Commencement Date |
| 0% | More than 14 days after the Course Commencement Date |
Applicants must be at least 16 years old.
Academic Requirements
| Qualification | Requirement(s) |
|---|---|
| GCE ‘O’ Levels | C6 in at least 3 GCE ‘O’ Level subjects, including English and any 2 science subjects |
Language Proficiency
Applicants should possess at least one of the following:
- IELTS >=5.5; or
- PTE score of 36; or
- Duolingo score of 85–90; or
- TOEFL score of 46; or
- C6 pass in GCE ‘O’ Level English; or
- Equivalent English language competency.
- Project Presentation
- Successful completion of the prescribed academic unit requirement as set out by the program curriculum.
- A minimum GPA of 2.00 is required.
- Attendance of minimum 75% has to be met.
Award:
Diploma in AI with Business Applications awarded by St.Hua Private School Pte. Ltd. (UEN: 201008052Z)