Robotics in Manufacturing Today – Applications, Challenges and Opportunities


College of Design and Engineering (CDE)

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Participants will know a wide variety of robotics applications, with a focus in manufacturing. They will gain understanding of how these applications are developed, and appreciate the strengths and weaknesses of today’s robotic system. Participants will be able to assess the feasibility of new applications by understanding challenges and opportunities.

Who Should Attend

Equipment/automation engineers, manufacturing process engineers

Entry Requirements

At least Polytechnic Diploma holder or equivalent, in a technology related field. The academic background can be substituted for technology-related work experience.

Class Schedule

Tutorial Schedule

Same Day as Lecture

Lesson Delivery

a) Facilitated Learning: 11 hours b) Project: 2 hours c) Assessment: 1 hours

Full Fees (before GST)


Nett Fees payable after Funding

International Participant Singapore Citizen 39 years old or younger Singapore Citizen 40 years or older eligible for MCES Singaporean PRs Enhanced Training Support for SMEs
Full Programme Fee S$1900.00 S$1900.00 S$1900.00 S$1900.00 S$1900.00
SSG Funding *
Eligible for Claim Period 1 Jul 2021 to 30 June 2024
- S$1330.00 S$1330.00 S$1330.00 S$1330.00
Nett Programme Fee S$1900.00 S$570.00 S$570.00 S$570.00 S$570.00
8% GST on Nett Programme Fee S$152.00 S$45.60 S$45.60 S$45.60 S$45.60
Total Nett Programme Fee Payable, Incl. GST S$2052.00 S$615.60 S$615.60 S$615.60 S$615.60
Less Additional Funding if Eligible Under Various Scheme - - S$380.00 - S$380.00
Total Nett Programme Fee, Incl. GST, after additional funding from the various funding schemes S$2052.00 S$615.60 S$235.60 S$615.60 S$235.60
*   Learners must fulfill at least 75% attendance and pass all assessment components, to be eligible for SSG funding.

** Please note that the mode of delivery is subject to change in light of the COVID-19 situation. Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.

Upcoming Course Dates

Delivery Mode**

Course Code

Funding Type
SSG Funding
Alumni eVoucher (L3)
Alumni eVoucher (R&G)

Short Course

Stacks/ Bundles to

Graded only

Area of Interest
AI & Machine Learning