Computer Science (Artificial Intelligence) MComp

At Sheffield, learning computer science and AI isn’t just about lectures — it’s about creating, building, and experimenting with real technology. From your first year, you’ll use the same tools and software as professional developers, take part in team projects that mirror real industry work, and carry out research alongside active AI specialists. You’ll spend time in modern labs, get hands-on with robotics and machine learning, and explore cutting-edge computing spaces designed to inspire innovation.

Here’s how you’ll put your knowledge into action:

• State-of-the-art computer labs – You’ll have access to high-performance workstations, VR and graphics hardware, and the latest software used across AI and data science fields.

• Collaborative projects – You’ll work in small teams to design, develop and present software systems — gaining experience that feels just like working in a real tech company.

• Research-led environment – Learn from active researchers at the Centre for Machine Intelligence and the Sheffield Machine Learning Network, where you can explore topics like robotics, data modelling and human–AI interaction.

• Professional placement option – You can spend up to 38 weeks working in industry, applying what you’ve learned to real-world challenges while gaining valuable professional experience.

• Specialist digital and creative spaces – Make use of VR suites, media studios, and digital editing tools to develop and showcase your ideas.

• The Information Commons and Diamond building – These world-class learning spaces offer 24/7 access to computing resources, collaboration areas, and one of the best-equipped libraries in the UK.

Graduates from Sheffield’s Computer Science (Artificial Intelligence) MComp are in high demand across the tech industry. With expertise in programming, data science, and intelligent systems, you’ll be ready for roles like software engineer, AI developer, data scientist, or machine learning engineer at top global companies. Many graduates also move into project leadership, innovation roles, or advanced research positions — using their AI skills to solve real-world challenges in healthcare, robotics, or digital transformation.

Here’s how Sheffield helps you build a successful future:

• Dedicated careers support: The University’s award-winning Careers Service offers one-to-one guidance, tech-focused workshops, and networking events — including sessions run by a dedicated Computer Science careers adviser.

• Strong employment outcomes: Sheffield graduates have gone on to work with leading employers such as Google, Amazon, IBM, Microsoft, and Goldman Sachs, reflecting the program’s strong industry reputation.

• Industry experience and networking: Through modules like Genesys, you’ll collaborate with real clients in a software company-style environment — developing genuine products and connecting with potential employers.

• Professional accreditation: The degree is accredited by the British Computer Society (BCS), meeting the requirements for Chartered IT Professional (CITP) and Chartered Engineer (CEng) status — credentials that strengthen your long-term professional recognition.

• Research and innovation links: Sheffield’s partnerships with AI research groups and industry innovators mean you’ll be part of a community that’s shaping the next generation of technology.

Further Academic Progression

If you want to continue your studies, you’ll be well prepared for postgraduate research or advanced degrees such as an MSc or PhD in Artificial Intelligence, Machine Learning, or Robotics — either at Sheffield or other world-leading institutions. Your final-year Turing Research Project and hands-on experience with AI tools will give you a strong foundation to pursue academic or research-focused careers.