BSc Computer Science with Artificial Intelligence (with a year in industry)
About this course
Computer science with artificial intelligence is a degree for those who want to understand how computational systems can communicate, learn, and reason, and who want to engage seriously with the implications of those capabilities for society, commerce, and scientific research. AI is no longer a niche research area; it is reshaping how decisions are made, how information is processed, and how work is organised across every domain. Understanding it technically and being able to apply that understanding to solve real problems is one of the most valuable educational investments currently available. At York, this four-year programme includes a year in industry, giving you a full year of professional experience in a relevant company or research organisation before you return to complete your studies. You will build a solid grounding in core computer science, including algorithms, programming, data structures, software engineering, and systems design, alongside specialist study in AI, covering machine learning, natural language processing, computer vision, knowledge representation, and autonomous systems. The programme combines theoretical foundations with practical project work, developing your ability to design, build, and evaluate intelligent systems. You will also engage with the broader implications of AI for society, ethics, and professional practice. Graduates are sought after across virtually every sector that is being transformed by AI, including technology companies, financial services, healthcare, media, retail, and research organisations. Roles in software engineering, machine learning engineering, data science, AI product development, and research are all natural destinations. The year in industry makes graduates significantly more attractive to employers and provides a concrete demonstration of professional capability. Many graduates continue to postgraduate study or doctoral research in AI, computer science, or related fields.
Syllabus & Modules
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