CLUSTERS
There are 4 clusters of topics you can choose from. The topics are categorised by an overarching theme that the topics may share. In total, there are 16 unique topics offered.

Each cluster has 4 to 5 topics. The clusters are:
  • Algorithm, Cloud & Security

  • Analytics and IoT (Internet of Things)

  • AI (Artificial Intelligence) and FinTech (Financial Technology)

  • AI (Artificial Intelligence) and Media
During application, you will indicate your preference for your cluster and topic. You will be assigned one particular cluster. The topic is not assigned until you attend all the lectures.
After you have attended the lectures for the topics within your assigned cluster, you will be asked to rank your preference for the topic within your cluster to do your project. 
 
You will then be assigned a topic for your project based on your preference and availability of the topic.

Find out more about the topics that you will be learning about below! You may view more details of each individual topic (e.g. a topic description, a brief bio of the lecturers that will be with you, prerequisites you must fulfil to be able to take on the topic etc). 
TOPICS
This is an overview of all 4 clusters and the respective topics under each cluster. During Phase 1 (May 2021), you will attend the lectures for all the topics within your cluster.

Find out more about each topic by clicking on the topics below...
Note: In Phase 1, each topic will have 6 hours of introductory lectures with the exception of Embedded System and Deep Learning, which will have 12 hours of introductory lectures as it is further divided into 2 sub-topics (with 6 hours of introductory lectures for each sub-topic):  
1. Embedded System
2. Deep Learning