DSTI School of Engineering

A postgraduate route for students who want to build the technical foundations behind modern AI: data architectures, storage systems, pipelines, cloud infrastructure and production-ready engineering practices.

This is the engineering route for students who want to make AI possible at scale: not just experimenting with models, but designing, operating and securing the data systems that feed them.

Data Engineering for AI is the MSc route for students who want to build, automate and operate the technical systems that make artificial intelligence usable in real organisations.

Many AI projects fail before modelling begins because data is fragmented, unreliable or impossible to operationalise. This programme focuses on the architecture, software, cloud, pipeline and DevOps skills needed to make data usable for AI.

Learn to structure storage, computation and data flows for real technical environments.

Build pipelines between systems, using modern data engineering formats and platforms.

Understand AWS, Azure and cloud-based infrastructure for modern data and AI work.

Connect engineering practice with the mathematical and practical foundations of AI.