ÌÇÐÄTV

Core modules

Year One

This module introduces the role and responsibilities of professional engineers, highlighting safety, ethics, and sustainability. You will learn to engage with stakeholders, define system requirements, and apply systems design thinking to complex problems. It also supports your professional development through reflective practice, aligned with UK-SPEC standards.

Electromechanical systems are required to move, exert force or energy on their surroundings, and do so in a controlled manner.

This module deals with the first of those challenges by introducing the principles of motion, the devices that are used to create motion in engineering systems, and the parameters needed to select these.

Electromechanical systems are required to move, exert force or energy on their surroundings, and do so in a controlled manner.

This module deals with the second of those challenges by introducing the principles of energy and power, the devices that are used to store and convert energy into mechanical energy in engineering systems, and the parameters needed to select these.

Electromechanical systems are required to move, exert force or energy on their surroundings, and do so in a controlled manner.

This module deals with the third of those challenges by enabling you to construct software programmes to control engineering hardware. An emphasis will be placed on development for microcontroller based systems, providing you with hands-on experience in both software development and hardware interaction.

This module provides a comprehensive foundation in the principles and practices of designing complex engineering systems. In today’s fast-evolving technological landscape, engineers are expected to develop innovative solutions that meet diverse requirements, address sustainability challenges, and integrate seamlessly into real-world applications.

In the development of engineering systems, engineers use a variety of approaches, both computational and physical, to model and test their ideas to ensure the final solution meets its design requirements.

This module will introduce computer-aided design and manufacturing (CADCAM) tools and implementation through prototype scale manufacturing processes and equipment.

In this module, you will work in teams on a project sprint to design, build, and test a prototype mechatronic device. The project gives hands-on experience of applying first-year engineering principles while learning the realities of teamwork, from collaboration to problem-solving under tight deadlines.

Year Two

Almost all the work engineers do is as part of projects, whether they are projects to design and develop new products, projects to improve performance in systems, or projects to enhance business performance. The success of a project is directly related to its planning and the people who contribute to it.

This module introduces project management, including engaging with stakeholders, managing project risks and the business benefits of effectively working in diverse teams.

This module covers topics including sensors (e.g., vision systems), communication technologies, programmable logic controllers (PLCs), cyber-security, robot kinematics, and various types of industrial robots. You will learn about automation's role in improving efficiency, safety, and reliability across industries, as well as ethical considerations in automation and industrial robotics.

This module builds on first-year studies of electrical power and motors, exploring more advanced electromechanical systems. You will learn new actuation methods, integrate sensors and microcontrollers, and develop intelligent control strategies for robotic systems.

This module introduces you to the fundamental principles of perception systems and how that information can be utilised to produce a response with a particular emphasis on robotics. You will explore a range of sensing technologies and control architecture, gaining an understanding of their applications in the context of robotics. Basic Machine Learning techniques will also be introduced to aid the analysis and modelling of perception data. The module will equip you to critically evaluate and compare various sensing and control approaches.

This module introduces Computer-Aided Engineering (CAE) for robotics and mechatronics. You will use industry-relevant software and Model-Based Systems Engineering approaches to design, simulate, and analyse systems. The focus is on applying CAE to optimise performance, improve reliability, and support efficient development of mechatronic devices.

This module explores the technologies and principles behind modern automated manufacturing systems, incorporating discrete event simulation (DES) as a key method for modelling and optimising these systems. Learners will gain exposure to various industrial automation practices, covering robotics, automated material handling, assembly lines, and production scheduling. The module also addresses the role of sustainability, focusing on how efficient automated systems can reduce environmental impact while enhancing productivity.

Automated systems often have to operate in dynamic environments. In this second group project, teams of engineers will work through a design project to deliver a functional prototype to an open-ended engineering problem, using industry-appropriate tools and techniques. The project will culminate in the manufacture, presentation and competitive demonstration of a working prototype.

Year Three

Sustainable Innovation

This module explores how engineers can drive sustainable innovation in design and manufacturing. You will examine resource and energy efficiency, new technologies, legislation, and alternative processes, while learning to apply life cycle engineering to assess environmental, economic, and social impacts. The module also develops skills to create viable, ethical solutions and communicate them effectively to stakeholders.

Autonomous Robots

This module covers the technologies enabling robots to operate independently. It includes locomotion methods such as wheeled, legged, and aerial movement, along with probabilistic algorithms used for path planning and decision-making in uncertain environments. It also covers the integration of sensors for navigation and mapping, and Simultaneous Localisation and Mapping (SLAM).

Human-Machine Interaction

This module will address the need for human factors and an inclusive and ethical approach in the design of automated systems, particularly robotic, systems and the legislation, safety and ethical aspects that surround that, especially systems employing Artificial Intelligence, using diverse case studies (e.g., agricultural technology, soft robotics technology and applications in health and social care).

Machine Intelligence in Engineering Systems

This module explores the key concepts and techniques that form the backbone of Artificial Intelligence (AI) and Machine Learning (ML). This module aims to provide you with a thorough understanding of how machines can be designed to exhibit intelligent behaviour, learn from experience, and make decisions autonomously. By combining theory and practical application, you will engage with fundamental algorithms, tools, and methodologies in AI, as well as the ethical implications of AI systems.

Digital Engineering

This module aims at providing digital and computational tools and techniques for use in the efficient, collaborative and rapid design of engineering systems.

Digital engineering offers significant advantages over traditional design methods, including for modelling a variety of design concepts and scenarios, to predict the performance of systems early in their life cycle, and the use of Artificial Intelligence to generate, iterate and optimise designs. It allows engineers to efficiently collaborate and communicate in a global working environment on complex engineering problems.

Artificial Intelligence in Manufacturing

This module aims at providing the tools and techniques that transform theoretical Machine Learning (ML) knowledge into a manufacturing-ready skillset. It covers how to conceptualise and build integrated systems that continuously operate in manufacturing. In contrast with standard ML applications, manufacturing systems need to handle continuously evolving data. Moreover, the manufacturing system must run at the minimum cost while performing at its best. In this module, you will learn how to use industry-relevant tools and methodologies to achieve this effectively and efficiently.

Individual Engineering Project and Portfolio

Engineers undertake projects to investigate, design and develop solutions to complex problems. Projects must be delivered on time and on budget, while meeting ambitious stakeholder requirements.

In this module each engineer will evidence their learning and development, to plan and execute a substantial individual engineering project and produce a portfolio that presents and critically reflects on their professional development throughout their degree.

Module availability

Please note that there may be minor updates to content or learning objectives year on year, to reflect the evolving state of knowledge and the requirements of teaching best practise. Any such amends will be updated following the department 'module approvals process' and reflected in the module catalogue before the start of the next academic year in 2027.

Teaching

Throughout this degree, you’ll engage in teamwork and project-based learning, developing strong communication skills and the ability to understand views from across different areas of a business.

From the start of your journey with us, we’ll introduce you to real-world working practices, including tackling complex engineering problems, requirements capture, and applying interdisciplinary engineering science and sustainable solutions with creativity.

Content on the course is informed by industry needs, including nurturing softer skills such as teamwork, agility, project management, and presentation skills.

We have designed the programme with student support, wellbeing, and innovative teaching approaches in mind, to ensure you have the best possible experience and the foundations for success.

Our facilities will give you access to the tools and resources you need to explore, experiment, and innovate. You’ll have access to well-equipped labs and facilities for practical and project work. Relevant to your third-year individual project, you may have the opportunity to experience industrial-scale equipment and state-of-the-art simulation activities.

Many of our teaching staff at ÌÇÐÄTV have experience working on robotics or AI projects in industry, or on research projects with industry.

Class sizes

You'll study in different class sizes dependent on the type of activity - for lectures/seminars you would expect to be with your entire cohort (of around 60) whereas for practical, project or group work you'll typically work in smaller groups.

Typical contact hours

Each module will include between 3-5 hours of contact time each week during term time (i.e. 12-20 hours per week in total), including a mixture of lectures, labs and seminars. The expected total study time per year is 1200 hours.

Assessments

This degree centres on teamwork and a problem-based learning approach, both of which are reflected in the way you’ll be assessed. Unlike traditional engineering courses where you might be solving abstract, theoretical problems independently, on this course you’ll be assessed with more of a focus on practical, group project work. We believe you’ll find this style of assessment particularly rewarding if you prefer practical project work over traditional exams or working in isolation.

The final degree classification is determined by Year Two (30%) and Year Three (70%).

Entry requirements

A level typical offer

AAA to include one subject from Maths, Physics or Computer Science.

A level contextual offer

We welcome applications from candidates who meet the contextual eligibility criteria and whose predicted grades are close to, or slightly below, the contextual offer level. The typical contextual offer is AAB to include one subject from Maths, Physics or Computer Science. See if you’re eligible.Link opens in a new window

General GCSE requirements

Unless specified differently above, you will also need a minimum of GCSE grade 4 or C (or an equivalent qualification) in English Language and either Mathematics or a Science subject. Find out more about our entry requirements and the qualifications we accept.Link opens in a new window

IB typical offer

36 points overall to include 6 in one Higher Level subject from Maths, Physics or Computer Science.

All applicants have to meet our English Language requirementsLink opens in a new window. If you cannot demonstrate that you meet these, you may be invited to take part in our Pre-Sessional English Course at ÌÇÐÄTV.Link opens in a new window

This course requires: Band A

Learn more about our English Language requirements. Link opens in a new window

Tuition fees

Home: £10,050

For the 2027-28 academic year, the UK government announced in March 2026 that the tuition fee cap for UK undergraduate students for the 2027-28 academic year would be £10,050.

If you are joining ÌÇÐÄTV for the 2026-27 academic year, the University of ÌÇÐÄTV’s Executive Board has confirmed a change in fees to £9,790 (from the 2025-26 rate of £9,535), following the UK government announcement in November 2025 to increase in the tuition fee cap for Home students for the 2026-27 academic year.

Students who qualify for government-regulated fees are classed as ‘Home’ students for fees purposes. In future years, fees for continuing students may be subject to an increase in fees in line with any inflationary uplift as determined by the UK Government (if permitted by law or government policy).

Overseas

If you are an overseas student enrolling in 2026-27, your annual tuition fees will be as follows:

• Band 1 – £27,870 per year (classroom-based courses, including Humanities and most Social Science courses)
• Band 2 – £35,530 per year (laboratory-based courses, plus Mathematics, Statistics, Theatre and Performance Studies, Economics, and courses provided by ÌÇÐÄTV ÌÇÐÄTV School, with exceptions)

Overseas Tuition fees for 2027-28 academic year have not been set. In future years, fees for continuing students may be subject to an increase in fees in line with an inflationary uplift. Please check our website for updates about 2027-28 fee rates before you apply.

For further information on fees and funding, please visit the University's Student Funding Support pages.

Scholarships

There are many different funding routes available, including a number of bursaries and scholarships for full-time undergraduates.

If you are a Home student, you may be interested in the ÌÇÐÄTV Bursary:

The ÌÇÐÄTV Bursary

• Provides additional financial support for qualifying Home students from lower income families of up to £2,500 for eligible students
• This bursary is paid directly into your bank account in three equal termly instalments to help with the costs of studying
• There is no application for this bursary as your details will be provided directly from the student support awarding bodies (Student Finance England, Student Finance Northern Ireland, and Student Awards Agency Scotland)

Careers

Robotics engineering skills with AI are in high demand globally and a multi-disciplinary approach to engineering is vital as we work towards the United Nations Sustainable Development Goals (SDGs). This degree sets you up to thrive in these kind of environments, developing innovative products, systems, infrastructure, and processes in both physical and virtual environments.

Employers are seeking engineers who not only have the technical know-how, but also demonstrate soft skills like teamwork and problem-solving (). Our programme is designed to foster soft skills in every module, helping you succeed in a competitive job market.

This programme equips you for roles across a range of industries, including:

• Aerospace
• Agriculture
• Automotive
• Construction
• Consumer goods
• Consultancy
• Finance
• Manufacturing
• Marine
• Healthcare
• Security

How to apply

If you feel that our BEng Robotics Engineering with Artificial Intelligence degree is the right course for you, the next step is to apply.

You can apply for undergraduate courses through Universities and Colleges Admissions Service (UCAS). From 1 September 2026, you can begin submitting UCAS applications for courses starting in autumn 2027.

The University of ÌÇÐÄTV's institution code is W20.

The UCAS course code is H6I4.

If you are made and accept an offer, and meet any outstanding conditions, we will confirm your place and look forward to warmly welcoming you at the start of your time here at ÌÇÐÄTV.

About the information on this page

The information on this page is applicable for 2027 entry. Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply. Please read the University's terms and conditions to find out more.