Artificial Intelligence and Robotics

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Course summary

• Develop artificial intelligence (AI) systems to solve complex problems

• Use machine learning (ML) to support decision making

• Design and build complex software and hardware robotic solutions

• Work with companies to solve real-world practical challenges

• Access to industry-standard facilities and technology

Through practice-based learning, you’ll develop a deep understanding of how AI and robotics are brought together to create the autonomous devices found in the industries of our modern world. You’ll become a practitioner who can build smart robotic devices – and create new ones – all the while understanding the responsibility and ethical considerations the convergence of AI and robotics requires.

How you learn
All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive.

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

Key themes
You’ll build your understanding of how and when to use appropriate processes, tools, technologies and practices. You’ll develop programming skills which form the basis of key computer science topics – including algorithms and data structures. These feed into learning, creation and development of machine learning and artificial techniques that can be adapted and tailored for domain-specific problems.

These fundamental skills are further strengthened by introducing you to real-world projects, where you’ll deepen your understanding of the design and development of embedded systems.

Then in your final year, you’ll complete your own project that converges AI and robotic technologies – giving you the freedom to explore, research and apply new skills as you create a smart autonomous device you can be proud of.

Applied learning
Work placements
You’ll have the opportunity to complete a year-long work placement between your second and third year. This helps you gain personal and professional skills through real-world experience – as well as an Applied Professional Diploma in addition to your degree, further enhancing your graduate profile.

On placement you’ll apply the knowledge and skills you’ve gained on your course – in areas such as embedded systems, machine learning, artificial intelligence, software design and electrical engineering solutions.

You’ll also be supported to take advantage of work experience opportunities throughout your course, through access to a range of support activities, resources and employer events from our Employability Team. These will further add to your employability skillset, confidence and opportunity-awareness – helping you to succeed in your career after graduating.

Live projects
Tackling problems in industry helps you prepare for a career by tackling challenges and complex problems that meet a combination of societal, user, business and customer needs – while also considering ethical, diversity and safety demands.

In your first and second years you’ll work on real client-based projects. After analysing their requirements, you’ll design, implement and test a prototype which you’ll present back to key stakeholders. This is great experience of the demands you’ll face when you graduate – and a confidence boost while you’re applying for work placements.

Module and assessment information for future years is displayed as currently validated and may be liable to change. When selecting electives, your choices will be subject to the core requirements of the course. As a result, selections may be limited to a choice between one of two or more specified electives in some instances.

You will be able to complete a placement year as part of this course. See the modules table below for further information.

Year 1

Compulsory modules

Analogue & Digital Electronic Engineering 1
Maths And Computational Methods
Professional Engineering Practice
Programming For Computer Science

Year 2

Compulsory modules

Advanced Programming
Algorithms And Data Structures
Artificial Intelligence And Machine Learning 1
Industrial Group Embedded System Project

Year 3

Optional modules

Placement Year

Final year

Compulsory modules

Advanced Robotics, Automation, Machine Vision, And Sensor Fusion
Artificial Intelligence And Machine Learning 2
Development Project

Elective modules

Machine Learning Algorithms And Heuristics
Secure Software Engineering

Coursework, practical