Computer Science with a Year in Industry

Computer science at Liverpool covers a broad area that includes designing and building hardware and software systems for a wide range of purposes, along with processing, structuring, and managing various kinds of information. The programme covers all aspects of computer science, including the underlying principles and theory, ensuring that when you graduate you will know what is and is not possible with computers and be able to find solutions to the problems you will encounter in your professional life. You can choose to maintain a broad mixture of modules throughout your degree or follow a specialist pathway in artificial intelligence, algorithms and optimisation, or data science.

At the University of Liverpool, this four-year full-time programme includes a year in industry, which is built into the degree structure and gives you direct professional experience in a computing or technology organisation before you complete your studies. This year in industry is a significant advantage in the graduate job market, demonstrating to future employers that you have operated in a professional technology environment, applied your skills to real problems, and developed the professional capabilities that complement your academic training. You will study programming, algorithms and data structures, software engineering, databases, computer architecture, artificial intelligence, machine learning, and the specialist topics of your chosen pathway.

With a typical entry tariff of 152 UCAS points, this is a competitive programme at a Russell Group university. Computer science graduates from Liverpool are highly sought after across every sector. Careers include software engineering, data science, artificial intelligence and machine learning, cybersecurity, systems architecture, product management, technical consulting, and technology entrepreneurship.

The combination of broad theoretical grounding and a structured industry year makes graduates well positioned for the demands of professional computing. Many graduates also continue to postgraduate study in computer science, data science, or artificial intelligence.