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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. A degree 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. In an ever-changing technological climate, Software Engineering is constantly evolving to embrace emerging digital breakthroughs.
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 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. Employer experience is embedded throughout the degree, and you can choose to spend a paid year gaining professional experience in industry. Through sponsored projects, hackathons and work with prospective employers, you will learn from industry professionals, build valuable professional networks and begin making a difference to real-world problems.
KazaSec's take
AI-related security incidents are a genuinely new category — prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
Coverage details
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