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Are you ready to build the software that puts AI to work?
Summary
From machine learning that drives cancer research forward to computer vision that keeps transport moving safely, software engineers turn intelligent technologies into systems people can rely on. In fact, everything from banking and healthcare to the app in your hand depends on graduates who can design, build and secure software at scale. An integrated Master's in Software Engineering with Artificial Intelligence teaches you to approach complex problems creatively.
It gives you the tools and understanding to build the systems the world depends on, and to keep them working. This course will equip you with the theory and practical skills to design, develop, deploy and operate large-scale software systems, and to engineer artificial intelligence into the software people rely on, taking both to Master’s level. In an ever-changing technological climate, Software Engineering is constantly evolving to embrace emerging digital breakthroughs.
Artificial intelligence, cyber security and cloud computing are core to this degree. You will receive a grounding in core skills like service-oriented architecture and large-scale systems development, specialising further, if you choose, in software design patterns, software testing and secure software development, as well as learning highly sought-after skills in advanced AI modules, covering themes such as machine learning, video analytics and the responsible use of generative AI, going on to advanced Master’s-level options in areas such as fairness, interpretability and privacy in machine learning, and energy-efficient computing. Employer experience is paramount in this course.
From day one, you will learn from prospective employers about real world challenges. The option to spend a paid year gaining professional experience in industry, company sponsored hackathons and project based learning form a core part of the curriculum and vastly improve our graduate employability rates. In your final year, you will lead a substantial research and development project of your own, supported by one-to-one supervision.
KazaSec's take
Most public cloud incidents trace back to a misconfiguration — an overly permissive IAM role, a storage bucket left open, a default setting nobody revisited — rather than a flaw in the cloud provider itself. A cloud security review is built to catch exactly that class of mistake before it's found the hard way.
Coverage details
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