Computer Science with Artificial Intelligence with Industrial Year
Basic Information
- Course ID
c9c4a2f1-eed5-4809-ab86-123b06b0b46b- Option ID
32ff3609-2075-46ce-b97c-74fce4d9ab0d- Provider
- University of Reading
- Type
- undergraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 7/12/2026, 2:05:58 AM
- Updated
- 7/12/2026, 2:05:58 AM
Other Options for this Course
No other options
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"summary": "**Develop in-demand computing and artificial intelligence expertise and graduate industry-ready with our BSc Computer Science with Artificial Intelligence with Industrial Year degree.**\n\nBe at the forefront of a rapidly changing world. From climate modelling to health diagnostics to advanced financial forecasting, AI is transforming every aspect of how we live, work, and connect.\n\nOur BSc Computer Science with Artificial Intelligence with Industrial Year course provides the skills and knowledge to design, build, and deliver intelligent systems that solve complex problems across multiple industries.\n\nThere’s currently a worldwide shortage of skilled AI practitioners. During your degree, you'll develop essential AI and digital skills that promote innovation and drive economic growth, in line with the UK government's National AI Strategy.\n\nThe University of Reading sits at the heart of the Thames Valley, a major UK tech hub that currently boasts more than 150 companies and start-ups working in the AI sector.\n\n**Choose BSc Computer Science with AI at the University of Reading:**\nReading ranks 2nd in The Data City’s list of UK AI hotspots (2023).\nReading has the fourth-highest number of digital tech organisations in the UK (\"UK’s Top Digital Tech Cities\", March 2020, The Data City).\n100% of our research impact has been classed as outstanding or very considerable (REF 2021, combining 4* and 3* submissions Computer Science and Informatics).\nJoint 30th in the world in the QS Sustainability Ranking 2026 (out of 2,002 institutions).\n\n**What you'll learn**\nYour learning will follow a practice-based approach and will reflect tech industry trends, challenges and priorities. You’ll specialise in AI technologies from the start of your degree while still gaining a broad foundation in computer science.\n\nAI topics include:\n\n\n- foundations of artificial intelligence\n\n\n- machine learning algorithms and techniques\n\n\n- deep learning architectures and methods\n\n\n- natural language processing (NLP)\n\n\n- cognitive and agentic systems\n\n\n- reasoning and decision-making algorithms\n\n\n- ethical, responsible and trustworthy AI\n\n\n- computer vision\n\n\n- intelligent data analytics.\n\n\nAs a well-rounded AI practitioner in any industry, you‘ll need a solid grounding in computer science and information technology. Alongside specialist AI topics, you’ll also explore:\n\n\n- software engineering and systems development\n\n\n- database systems\n\n\n- computer networking\n\n\n- blockchain computing and security.\n\n\nPlus, you'll get to grips with several universal programming/scripting languages for algorithmic and computational problem-solving, including Python and Java.\n\n**Industrial Year placement**\nThis degree includes the opportunity to apply for a one-year, paid work placement in industry, taken between your second and final year. It offers a valuable opportunity to deepen your knowledge and skills, explore career options and build your professional network.\n\nOver the years, we have built up relationships with major companies across the industry, many of which have their UK or European headquarters in the local area. Computer science students have previously undertaken placements with a range of multinational, national and local companies, including:\n\n\n- CGI\n\n\n- Eli Lilly\n\n\n- Indivior\n\n\n- Microsoft\n\n\n- Virgin Media O2.\n\n\nThey have occupied a number of roles, including:\n\n\n- Data Analyst\n\n\n- Intern Cloud Developer\n\n\n- Cyber Response Business Analyst\n\n\n- Design and Development Engineer\n\n\n- Information Security.\n",
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