The Diploma in AI with Mechanical Engineering and Management is designed to equip learners with practical knowledge and skills in Artificial Intelligence (AI), mechanical engineering principles, mechanical design, robotics, automation, smart manufacturing, and engineering management.
This programme provides learners with a strong foundation in AI concepts, mechanical engineering fundamentals, data analytics and visualization, AI applications in mechanical design, computer-aided engineering, robotics and automation, smart manufacturing, digital twins, AI-driven project management, entrepreneurship, ethics, safety, and sustainability.
Through face-to-face classroom learning, practical training, hands-on activities, and real-world engineering applications, students will learn how AI technologies can be integrated into mechanical systems, engineering workflows, industrial operations, and management practices.
The course is suitable for engineering students, graduates, mechanical engineering professionals, engineering managers, executives, entrepreneurs, start-up founders, and individuals who wish to develop practical capabilities in AI-enabled mechanical engineering and management.
Target Audience
- Engineering students, graduates, and diploma holders who wish to integrate AI into mechanical engineering and related disciplines;
- Mechanical engineering professionals, including engineers in manufacturing, automation, robotics, design, production, and quality functions;
- Managers and executives in engineering and manufacturing who wish to understand AI-driven automation, innovation, operations, and process optimization;
- Entrepreneurs and start-up founders who wish to develop or integrate AI-powered mechanical systems and engineering solutions;
- Individuals seeking practical knowledge in AI applications for mechanical design, smart manufacturing, robotics, project management, and engineering operations.
Mode of Delivery
Face-to-face, instructor-led classroom learning with practical training and hands-on engineering applications.
Average Teacher to Student Ratio
To be confirmed.
Duration & Schedule
| Mode | Part Time | Full Time |
|---|---|---|
| Course Duration | 16 months | 6.5 months |
| Schedule | 2 sessions per week, 3 hours per session | 5 sessions per week, 3 hours per session |
| Total Course Hours | 408 hours | 408 hours |
Modules
| Module | Module Title |
|---|---|
| 01 | Basics of Artificial Intelligence (AI) |
| 02 | Basics of Mechanical Engineering |
| 03 | Data Analytics and Visualization |
| 04 | AI Applications in Mechanical Design |
| 05 | Advanced Computer-Aided Engineering (CAE) |
| 06 | AI for Robotics and Automation |
| 07 | Smart Manufacturing and Digital Twins |
| 08 | AI-Driven Project Management and Operations |
| 09 | Entrepreneurship in AI-Driven Engineering |
| 10 | AI Ethics, Safety, and Sustainability |
Read more about our modules here.
Part Time Course Fee
| Fee | Amount (SGD) |
|---|---|
| Registration Fee (Non-Refundable) | To be confirmed |
| Course Fee | To be confirmed |
| Material Fee | To be confirmed |
| IWC Insurance | To be confirmed |
| Total Fees | To be confirmed |
Installment plan is available, subject to the school’s approval.
Full Time Course Fee
| Fee | Amount (SGD) |
|---|---|
| Registration Fee (Non-Refundable) | To be confirmed |
| Course Fee | To be confirmed |
| Material Fee | To be confirmed |
| IWC Insurance | To be confirmed |
| Total Fees | To be confirmed |
Installment plan is available, subject to the school’s approval.
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 18 years old.
Academic Requirements
- GCE ‘O’ Level Mathematics (Grade 1 - 6)
- GCE ‘O’ Level in a Relevant Subject (Grade 1 - 7), with 3 years of relevant working experience. OR
- Workplace Literacy and Numeracy Level 6, and at least 3 years of working experience. OR
- Higher NITEC / ITC or GCE ‘N’ Level and NITEC/NTC 2 with GPA of 2.75 or higher in relevant disciplines, and at least 1 year of relevant working experience.
Language Proficiency
Applicants should possess the following:
- GCE ‘O’ Level English, Grade 1–7; or
- Equivalent English language competency.
Students will be assessed through a combination of module-based assessments and other course-based assessments.
- 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 Mechanical Engineering and Management awarded by St.Hua Private School Pte Ltd. (UEN: 201008052Z)