Study the analysis, design and construction of knowledge-based and expert systems, artificial life and robotics, and systems based around the use of neural networks.
Artificial Intelligence is a rapidly growing and exciting field in technology, where computers and other devices are designed and developed to display intelligent characteristics, that can and will transform the world around us.Being able to handle large amounts of data efficiently and quickly has become an important part of computing.
Business need to understand trends in data that will allow them to make important and informed decisions, which is where computer scientists come in.
Our Computer Science Degree (Artificial Intelligence) focuses on AI along with a broad base in technology and software development.
In the first two years, you’ll find an emphasis on software development, professional programming, the modelling and design of systems and data, the principles of networking and user experience.
These give you the core skills to specialize in AI, where you can study the analysis, design and construction of knowledge-based and expert systems, artificial life and robotics, and systems based around the use of neural networks.
• Be part of a highly regarded well-established computer science programme with excellent facilities, a strong research background, and links to business and industry
• Prepare yourself for a career in the IT sector through a mix of academic, professional and practical study
• Internship and work placement opportunities
• UH has an excellent research record and strong links with local and international business, in particular with employers
• UH graduates from the School of Computer Science have gone on to work at amazing organisations including Sega Europe, Canon UK, and EE
• Opportunity to study abroad for one year to develop confidence, experience and practical language skills
Computer Science is both an academic and a practical subject, you will be taught in different ways such as lectures, smaller group tutorials, supervised practicals (labs) and self-study including experiential learning. Assessment is by a mix of in-class tests, exams, and coursework.GAF has well-equipped laboratory facilities, with PCs and a whole range of industry-standard and educational software from Microsoft, Oracle, Adobe, and others. There are specialist labs for networking, multimedia, devices, robotics, and projects.
There are careers opportunities in many employment sectors including the IT industry, business, education and government. Graduates can become software developers, programmers, web developers, business analysts, database administrators, project managers and IT consultants.
• Achieve a grade of 50% or more in Engineering Maths 2.
• Achieve a grade of 50% or more in Engineering Science 2.
• Achieve a grade of 40% or more in all other modules.
