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BSc Artificial Intelligence (With A Year In Industry)
About this course
Artificial intelligence is one of the most consequential technologies of our time, transforming how decisions are made, how information is processed, and how systems of all kinds, from healthcare to financial markets, from language to logistics, are designed and operated. As an academic discipline, AI draws on computer science, mathematics, statistics, and cognitive science to build systems that can learn from data, recognise patterns, make predictions, and solve problems that were previously thought to require human intelligence. Understanding AI requires both technical depth and a clear-eyed sense of its social and ethical implications. At Liverpool Hope University, this full-time, three-year programme with a year in industry explores the scale, scope, and impact of AI, preparing you to engage with one of the most significant forces reshaping the twenty-first century. You will study the foundations of machine learning, neural networks, natural language processing, computer vision, and the algorithms that underpin intelligent systems. The year in industry provides substantial professional experience working in a real AI or technology environment, bridging the gap between academic study and professional practice and making your graduate profile significantly stronger. The programme also includes a year abroad, broadening your intellectual and personal perspective through study in a different academic context. The typical entry tariff is 88 UCAS points. Graduates of artificial intelligence programmes are in very strong demand across virtually every sector of the economy. Technology companies, financial services, healthcare, defence, retail, public sector organisations, and AI research labs all need people who can develop, apply, and evaluate AI systems. Roles include machine learning engineer, AI researcher, data scientist, software engineer, and AI ethics specialist. The year in industry significantly strengthens your employability. Postgraduate study in AI, machine learning, data science, or computer science provides a route for those who want to go deeper into the field or pursue research.
Syllabus & Modules
Typical curriculumStudent Satisfaction
National Student Survey - 55 respondents (85% response rate)
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