Program Overview

BSc (Honours) Artificial Intelligence and Robotics with Foundation Year

Course Summary

Develop the skills and knowledge to create robots that are increasingly intelligent – combining artificial intelligence with principles of electrical engineering to create innovative, autonomous devices.

How You Learn

The combination of learning methods across the course allows you to develop your programming and electrical engineering skills as well as your wider professional skills – through problem-solving activities, practical implementation, and teamwork. These allow you to take an active approach to learning and self-development.

You learn through:

• Lectures
• Hands-on lab sessions and tutorials
• Regular feedback
• Teamwork and group-based learning
• Applied learning
• Discussions
• Self-study

Modules

Year 1

• Engineering And Mathematics In Practice (20 credits)
  • This module supports and broadens your learning through practical experiments and application of mathematical knowledge.
• Foundation Mathematics, Mechanics And Electronics 1 (40 credits)
  • This module introduces you to core topics in science, physics and mathematics.
• Foundation Mathematics, Mechanics And Electronics 2 (40 credits)
  • This module consolidates your previous learning, developing further essential skills in science, physics and mathematics.
• Fundamentals Of Materials And Manufacturing (20 credits)
  • This module studies the physical and chemical principles underpinning materials science, introducing the structure, processing and characteristics of engineering materials.

Year 2

• Fundamentals Of Analogue & Digital Electronics (40 credits)
  • This module develops a foundation for the understanding and familiarisation of basic analogue and digital electronic components, systems and their applications.
• Maths And Computational Methods (40 credits)
  • This module is intended to teach mathematical methods and the basics of computer programming, using a structured approach to mathematical techniques, programming and appropriate software tools.
• Professional Engineering Practice (20 credits)
  • This module will be delivered through design challenges such as IET Global Challenge, Engineers without Borders, etc as an applied project using blended approaches.
• Programming For Computer Science (20 credits)
  • This module introduces computer programming and develops your understanding of practical programming concepts and their deployment in a mainstream object-oriented programming language.

Year 3

• Advanced Programming (20 credits)
  • This module will continue to build your programming knowledge, looking at object-oriented programming in a modern programming language such as C/C++.
• Algorithms And Data Structures (40 credits)
  • This module imparts key concepts in computer science to students and to further develop important skills in computer-based problem solving and data manipulation.
• Artificial Intelligence And Machine Learning 1 (20 credits)
  • This module delivers knowledge and practical skills of machine learning algorithms for artificial intelligence applications.
• Industrial Group Embedded System Project (40 credits)
  • This module, through an applied project, will provide students with the knowledge and skills necessary to design and develop engineering solutions that meet a combination of societal, user, business and customer needs.

Year 4

• Advanced Robotics, Automation, Machine Vision, And Sensor Fusion (40 credits)
  • This module will develop the skills and knowledge needed that will allow students to identify and analyse tasks that can be automated using real-time input devices (sensors and vision) to control and produce desirable behaviours in robotic devices.
• Artificial Intelligence And Machine Learning 2 (20 credits)
  • This module expands your experience of designing and creating gameplay prototypes for Windows-based PCs, using high-level commercial engines such as Unity and Unreal.
• Development Project (40 credits)
  • This module emphasizes the necessity of incorporating ethical design principles into AI and data science projects, highlighting the importance of fairness, transparency, and accountability.

Future Careers

This course prepares you for the following career pathways:

• Artificial intelligence and machine learning research and development
• Robotics engineering
• Embedded systems engineering
• Software development
• Electrical engineering

Equipment and Facilities

On this course you work with:

• Industry-standard software tools and hardware devices
• Embedded Systems including IoT and SBC devices
• A robotics and automation laboratory

Entry Requirements

• UCAS points: 80
• GCSE: English Language at grade C or 4, Maths at grade C or 4, Science at grade C or 4
• Additional information for EU/International students: If you are an International or non-UK European student, you can find out more about the country specific qualifications we accept on our international qualifications page.

Fees and Funding

• Home students: £9,535 per year (capped at a maximum of 20% of this during your placement year)
• International students: £17,155 per year (capped at a maximum of 20% of this during your placement year)