Intelligent Robotic Systems
Students will be taught the skills required to build Intelligent Systems that will help control the advanced robotic systems, autonomous vehicles and industrial automation that will be central to Industry 4.0.
Courses:
- Robotic Systems
- Developing Autonomous Robots & Vehicles
- Human-Robot System Engineering
Intelligent Sensing Systems
Students will be taught the skills and techniques required to build Intelligent Sensing Systems that are able to make decisions based on visual and audio sensory signals, including human speech. Example systems include crowd monitoring, facial recognition, medical sensing, robot and vehicle control.
Courses:
- Vision Systems
- Spatial Reasoning from Sensor Data
- Real Time Audio-Visual Sensing and Sense Making
Practical Language Processing
Students will be taught advanced skills in practical language processing. This includes fundamental text processing, text analytics, deep learning techniques and their application in sentiment mining and chatbots development.
Courses:
- Text Analytics
- New Media and Sentiment Mining
- Text Processing using Machine Learning
- Conversational UIs
Intelligent Financial Risk Management
Students will focus on extracting knowledge for decision making from financial data which involves analysing and gaining insights from financial data sources. It also explores augmenting customer information using alternative data sources to complement decision making for financial services (banks, insurance, non-banking financial related services, etc.).
Courses:
- Advanced Machine Learning for Financial Services
- Explainable & Responsible AI for Finance
- Credit Risk Modelling and Analytics
- Alternative Data for Fintech Innovation
Architecting AI Systems
Students will learn to apply essential practices in Explainable and Responsible AI, AI-specific cybersecurity, Agentic AI design patterns, advanced software architecture skills, and MLSecOps/LLMSecOps to design, architect, implement and deploy AI systems that are robust, highly available, reusable, maintainable, and extensible, along with the development of relevant project artifacts.
Courses:
- Explainable and Responsbile Artificial Intelligence
- AI and Cybersecurity
- Architecting Agentic AI Solutions
- Deploying and Operating AI Solutions