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Introduction
Drug discovery is a notoriously risky and expensive process. AI-driven drug discovery has emerged rapidly in recent years, to become a major avenue for biotechnology and pharmaceutical companies to gain faster and cheaper access to drug therapeutics. This course is intended to introduce students to the application of AI/ML and computational data analysis in drug discovery.
- Graduate Certificate in Artificial Intelligence and AI Plus
- FlexiMasters in Artificial Intelligence and AI Plus
Upon completion of this course, the learner should be able to:
- Write a comprehensive report on project findings.
- Submit well-designed and well-documented source code.
- Prepare a presentation to share findings with the class.
This is a project-based course which will reinforce drug discovery concepts through practical experience. Projects may be by a team of two learners or by individual learners, depending on the class size. Learners will plan projects and make project proposals. Each project group will be mentored by an instructor.
No pre-requisites are needed to enrol in the individual courses.
Participants need to take note that those without qualifications or prior working experience in relevant engineering or the related fields, may find the course contents challenging.
Standard Course Fee: S$1,944
SSG Funding Support | Course fee payable after SSG funding, if eligible under various schemes | ||
Fee BEFORE funding & GST | Fee AFTER funding & 8% GST | ||
Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding) | s$1,800.00 | S$583.20 | |
Enhanced Training Support for SMEs (ETSS) | S$223.20 | ||
SCs aged ≥ 40 years old | |||
• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
Select one of the following options:
| COURSE TITLE | ACADEMIC UNIT |
| AI for Advance Manufacturing and Engineering | |
| CET870 AI for Advanced Manufacturing and Engineering (Basic) | 1 |
| CET871 AI for Advanced Manufacturing and Engineering (Intermediate) | 1 |
| CET872 AI for Advanced Manufacturing and Engineering (Advanced) | 1 |
| AI for Bioimage, Signal Analysis & Healthcare | |
| CET873 AI for Bioimage, Signal Analysis & Healthcare (Basic) | 1 |
| CET874 AI for Bioimage, Signal Analysis & Healthcare (Intermediate) | 1 |
| CET875 AI for Bioimage, Signal Analysis & Healthcare (Advanced) | 1 |
| AI for Business Analytics | |
| CET876 AI for Business Analytics (Basic) | 1 |
| CET877 AI for Business Analytics (Intermediate) | 1 |
| CET878 AI for Business Analytics (Intermediate) | 1 |
| AI for Drug discovery & Protein Interactions | |
| CET879 AI for Drug discovery & Protein Interactions (Basic) | 1 |
| CET880 AI for Drug discovery & Protein Interactions (Intermediate) | 1 |
| AI for Computational Geonomics | |
| CET882 AI for Computational Geonomics (Basic) | 1 |
| CET883 AI for Computational Geonomics (Intermediate) | 1 |
| CET884 AI for Computational Geonomics (Advanced) | 1 |
| AI for Accelerated Materials Development | |
| CET885 AI for Accelerated Materials Development (Basic) | 1 |
| CET886 AI for Accelerated Materials Development (Intermediate) | 1 |
| CET887 AI for Accelerated Materials Development (Advanced) | 1 |
| AI for Smart City and Urban Systems | |
| CET888 AI for Smart City and Urban Systems (Basic) | 1 |
| CET889 AI for Smart City and Urban Systems (Intermediate) | 1 |
| CET890 AI for Smart City and Urban Systems (Advanced) | 1 |
Listed courses are:
- Credit-bearing and stackable to Graduate Certificate in Artificial Intelligence and AI Plus (total 9AUs) and FlexiMasters in Artificial Intelligence and AI Plus (total 15AUs).
