(Hons) Computing (Artificial Intelligence and Robotics) University of Buckingham

Overview

This innovative B.Sc. in Computing (Artificial Intelligence and Robotics) (Hons) at the University of Buckingham is designed to equip students with the necessary skills and knowledge to succeed in the rapidly evolving fields of AI and robotics. The programme spans two years, offering a comprehensive curriculum that blends theoretical knowledge with practical application. Students will engage with a variety of disciplines, including Artificial Intelligence, Computer Sciences, and Robotics, preparing them for a diverse range of career opportunities.

Why Computing (Artificial Intelligence and Robotics) at University of Buckingham?

The University of Buckingham is renowned for its high-quality education and small class sizes, which foster a supportive learning environment. The computing programmes are accredited by the British Computer Society, ensuring that the curriculum meets industry standards and prepares students for successful careers. With access to state-of-the-art facilities, including specialised labs for robotics and cyber security, students can gain hands-on experience that is invaluable in today's job market.

Tuition Fee Breakdown

The tuition fees for the B.Sc. in Computing (Artificial Intelligence and Robotics) (Hons) are as follows:

• National Students: £12,333 per year
• International Students: £19,733 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum includes a variety of core modules that cover essential topics in computing and AI:

• Introduction to Computer Systems
• Introduction to Operating Systems
• Introduction to Statistics
• Mathematics for Computing
• Problem Solving and Programming 1
• Problem Solving and Programming 2
• Design, Implementation and Analysis of Algorithms
• Fundamentals of Artificial Intelligence
• Object Oriented Programming
• Principles of Computer Networks
• Principles of Database Systems
• Skills and Professional Development
• Software Engineering
• User Experience (UX) Design
• Cloud Computing
• Computer Vision and Machine Learning
• Grand Challenge Project
• Robotics
• Software Project Management
• Web Applications Development

This structured approach ensures that students not only acquire theoretical knowledge but also develop practical skills through hands-on projects and collaborative learning experiences.

Careers with Computing (Artificial Intelligence and Robotics)

Graduates of this programme have a wealth of career opportunities available to them. Many alumni have secured positions at leading technology firms and multinational corporations such as Google Deep Mind, IBM, and Amazon. The skills acquired during the course prepare students for roles in various sectors, including healthcare, transport, and public services, where AI and robotics are increasingly in demand. Furthermore, the programme's emphasis on real-world applications and projects ensures that graduates are well-equipped to tackle complex challenges in their future careers.