The NUS Master of Technology in Artificial Intelligence Systems (MTech AIS) (formerly known as MTech in Intelligent Systems) is a practice-based programme tailored for professionals seeking to design and develop systems that leverage Artificial Intelligence and cutting-edge technologies. This versatile programme covers a wide range of applications, including enterprise LLMS, chatbots, robotics, autonomous vehicles, intelligent sensing systems, the Internet of Things, Smart City projects, Industry 4.0, all the while ensuring business impact through AI system delivery.

Focusing on the core concepts, techniques, and methods of Artificial Intelligence (including Generative AI where applicable), the MTech AIS programme teaches you how to apply these principles to create sophisticated Artificial Intelligence Systems. You will gain both the theoretical knowledge and practical skills necessary to excel as an AI Systems specialist. Additionally, the programme prepares you to lead the development of AI Systems, enabling you to deliver effective and innovative business solutions for your organisation.

The curriculum is designed to keep pace with the rapid advancements in AI technologies, including deep learning, large language models (LLMs), transformers, diffusion models, etc. With a strong emphasis on real-world applications, the programme includes hands-on projects and collaborations with industry experts, providing you with valuable experience and networking opportunities.

Learning outcomes:

• Apply Artificial Intelligence Systems concepts, techniques, and methods to solve diverse problems across multiple domains, including business, manufacturing, engineering, and healthcare, utilising the latest advancements in technology.
• Lead the development of Artificial Intelligence Systems using state-of-the-art tools and techniques, such as Machine Learning, Deep Learning, Large Language Models (LLMs), Generative AI, Prediction, Forecasting, Classification, Clustering and Optimisation.
• Design and customise sophisticated algorithms to address complex business challenges, enhance operational efficiency, and create strategic advantages.