Computer Systems Engineering BEng
2025-26 entryLearn about the fields that are essential to computer systems, including mathematics, control systems, embedded systems and programming. Then go on to applied work that brings the concepts together in a practical way, and continue to study advanced modules in specialist areas such as system design and security and intelligent systems.
Key details
- A Levels AAB
Other entry requirements - UCAS code H130
- 3 years / Full-time
- September start
- Accredited
- Find out the course fee
- Optional placement year
- Study abroad
Explore this course:
Course description
Why study this course?
92% of graduates from the department are in work or further education 15 months after completing their course. Sheffield-trained engineers are now working for companies including Rolls-Royce, Siemens and Airbus.
From foundations in programming, robotics and automation to advanced topics such as deep learning and multi-agent systems.
Learn from people with research experience in the robotics industry and who specialise in programming, intelligent systems and cybersecurity.
Access industry standard facilities including 3D CAD tools, 3D printers and advanced manufacturing technologies.
Study modules designed with our industry partners – spanning topics such as embedded systems and artificial intelligence, industrial control and advanced manufacturing.
Bringing together design, robotics and computer programming, this three-year BEng in Computer Systems Engineering is perfect for aspiring engineers.
Informed by our world-leading research and designed in collaboration with our industry partners, this course gives you the best start to your career.
You’ll complement engineering skills in computer software and hardware with a deep understanding of systems design. You'll also use industry-standard equipment to learn about state-of-the-art applications in infrastructure, medicine and aviation.
The first year gives you solid grounding in theory, with a focus on how to control robotic systems, and opportunities to design and analyse complex electro-mechanical systems as part of a team.
In your second year, core modules such as programming (including C++, Python and Java), mathematics and data modelling lead into a practical project – designing a system using 3D CAD tools, and building your designs in our iForge Makerspace.
Year three will see you combining specialist modules, like intelligent systems and cybersecurity, with a massive range of optional modules, chosen according to your personal passion and career aspirations.
This all builds to an advanced project, where you’ll work one-on-one with an academic – deepening your technical knowledge and developing your expertise in a range of engineering techniques.
This course is accredited by the Institution of Engineering and Technology (IET), the Institute of Measurement and Control and the Engineering Council UK.
Modules
A selection of modules are available each year - some examples are below. There may be changes before you start your course. From May of the year of entry, formal programme regulations will be available in our Programme Regulations Finder.
Choose a year to see modules for a level of study:
UCAS code: H130
Years: 2023, 2024
Core modules:
- Introduction to Electric and Electronic Circuits
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This module introduces the concepts and analytical tools for predicting the behaviour of combinations of passive circuit elements, resistance, capacitance and inductance driven by ideal voltage and/or current sources which may be ac or dc sources. The ideas involved are important not only from the point of view of modelling real electronic circuits but also because many complicated processes in biology, medicine and mechanical engineering are themselves modelled by electric circuits. The passive ideas are extended to active electronic components; diodes, transistors and operational amplifiers and the circuits in which these devices are used. Transformers, magnetics and dc motors are also covered.
20 credits - Introduction to Systems Engineering & Software
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Engineering applications are typically complex, so students also need to acquire proficiency in analytical problem solving and the ability to apply a systems engineering approach, as a systematic methodology to design and implementation. A group project will develop an understanding of the type of problem solving and systems engineering needed for the design and build of a computer-controlled system. Students will improve skills in communication, team working and reflective practices as a result of the group project. Engineering applications in manufacturing, aerospace, robotics, energy, finance, healthcare and a host of other areas are predominately computer based or computer controlled. In order to be able to create computer based and computer controlled applications, students need to acquire proficiency in relevant software and programming languages. In this module, labs and several individual assignments will build proficiency in creating C programs as solutions to engineering problems.
20 credits - Modelling, Analysis and Control
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This module will introduce principles of modelling of simple continuous dynamical systems. This module also introduces analysis of linear models. It includes a detailed analysis of the dynamical behaviour of 1st and 2nd order systems linking behaviour to physical parameters, e.g. Rise time, settling time, overshoot, steady-state. Damping and damping ratio and resonance. Frequency response is also discussed. We will introduce control and feedback as a topic by providing examples of open-loop and closedloop control, and undertake detailed analysis of linear models with a focus on 1st and 2nd order systems. Students are introduced to simple practical feedback mechanisms, including PID controllers and performance criteria such as offset, stability, poles and zeros. You will learn about the principles of how to use Laplace Transforms to solve linear differential equations, and for system representation, using transfer functions and block diagram algebra. You will also develop an appreciation of frequency-domain implications of system analysis through the use of Fourier series. MATLAB is used to reinforce the simulation and analysis of all module contents and coursework assignments.
20 credits - Physical Systems
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This module will introduce students to the modelling and analysis of dynamic systems. Students will learn about the different types of physical systems based on real-world case-studies. This 20-credit year-long module is to be delivered over two semesters. In the autumn semester mechanical and electrical-mechanical systems will be introduced. In the second semester the mechanical theme will continue with rotational systems, and then introduce thermodynamic systems as well as flow systems. Students will gain an appreciation of the physics laws governing a variety of physical systems, the impact and interaction of various system components, as well as systematic methods for modelling and analysing such systems.
20 credits - Systems Engineering Mathematics I
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This module contains the core mathematical competencies required by students for a systems engineering programme. This covers basic algebra and functions, elementary calculus (differentiation and integration), solution of low order differential equations, Taylor series and iterative methods, matrix algebra and simultaneous equations, vectors and complex numbers. The content is delivered within a systems engineering context. Student learning is encouraged by regular formative assessment and supportive resources.
20 credits - Digital and Embedded Systems
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This module is intended to equip students with the core knowledge of 'how hardware works' in digital systems and introduce the concept of embedded systems using examples/case studies. The module covers introduction to embedded systems, number systems, boolean algebra, logic gates, logic expressions, combinational logic, A/D and D/A converters, computer systems and architectures. The content is delivered as a combination of lectures, tutorials and laboratory sessions that provide students with a fundamental understanding of embedded systems and their applications.
10 credits - Group Control Project and Professional Skills
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This module is intended to bring together core content from various Y1 modules in a substantial group design project. The group project involves controlling a mobile robot to navigate to a destination safely and smoothly. This robot is provided as a take-home kit for students to work on this project in their own time. This module also covers important skills needed in the workplace, such as project management and teamwork, as well as other crucial employability skills.
10 credits - Global Engineering Challenge Week
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The Faculty-wide Global Engineering Challenge Week is a compulsory part of the first-year programme. The project has been designed to develop student academic, transferable and employability skills as well as widen their horizons as global citizens. Working in multi-disciplinary groups of 5-6, for a full week, all students in the Faculty choose from a number of projects arranged under a range of themes including Water, Waste Management, Energy and Digital with scenarios set in an overseas location facing economic challenge. Some projects are based on the Engineers Without Borders Engineering for people design challenge*.
*The EWB challenge provides students with the opportunity to learn about design, teamwork and communication through real, inspiring, sustainable and cross-cultural development projects identified by EWB with its community-based partner organisations.
Core modules:
- Computer Problem Solving and Object Oriented Design
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The first part of this module introduces basic concepts of computer programming, through an introduction to problem solving and the development of simple algorithms using the programming language Python. The module will stress the importance of good programming style and good code design and will introduce how an object-oriented approach can help to achieve these aims. The second part of this module introduces some of the fundamental principles of object oriented programming and software engineering using the Java Programming Language. In particular it covers the principles that underlie the structuring of software and introduces models of real-world systems. Techniques for developing sound programming techniques are introduced and applied.
20 credits - Control Systems Design and Analysis
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This module gives a solid theoretical foundation for understanding feedback control system analysis, design and application and is suitable for general engineering students. This is supported by hardware laboratories, PC laboratory activities and coursework. Content covers standard analysis tools such as root-loci, Bode diagrams, Nyquist diagrams and z-transforms. The latter part of the course focuses on the design of common feedback strategies using these analysis tools and students will undertake indicative designs and reinforce learning through application to laboratory and hardware systems.
20 credits - Mechatronics
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This unit covers methods to represent, analyse and design mechanical, electrical and computational systems and their integration into mechatronics systems. This module will enable students to design, analyse, develop and integrate mechatronic systems. The unit includes lectures on the principles of mechatronic systems, 2D/3D CAD design, sensors and instrumentation, actuation, digital data acquisition, signal pre-processing, hardware interfaces, microcontroller programming and peripherals; practicals on analysing mechatronic components; and project work on designing, developing and testing a mechatronic system.
20 credits - Signals, Systems, and Communications
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Modern communication systems provide the backbone of the technological development that is driving the information age. The increase of data analytics, machine learning, and networked solutions pushes the trend towards an increasing use of digital communication systems as means of enabling reliable and efficient information exchange. The aim of the unit is to provide the fundamentals of signals, systems and communication systems. The mathematical principles of signal theory and systems theory will be applied within a communication theory context. The unit will provide the students with the tools to analyse and solve complex open-ended communication problems and to evaluate the technological constraints of the proposed solutions.
20 credits - Systems Engineering Mathematics II
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This module provides an introduction to the use of analytical mathematical techniques and numerical methods and algorithms for subsequent higher level module studies and for solving a wide range of engineering problems as well. Students will develop their skills in the theory and application of core mathematics tools required for systems engineering and the application of these in system simulation and data based modelling. A brief summary of topics covered includes: complex variables and Fourier transforms, analysis of matrices and systems represented by matrices, optimisation of functions of many variables, probability, numerical integration techniques and data modelling and analysis. The module is embedded throughout with engineering examples using the mathematical techniques.
20 credits - Systems Engineering and Object Oriented Programming
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Engineering applications in manufacturing, aerospace, robotics, energy, finance, healthcare and a host of other areas are predominantly computer based or computer controlled. In order to be able to create computer based and computer controlled applications, students need to acquire understanding of and proficiency in working across the systems engineering lifecycle. This module builds on the first year undergraduate learning objectives relevant to systems Engineering, to develop further students' skills in the design and development of computer based and software dominated systems. There will be an emphasis on the systems engineering lifecycle (requirements capture, architecture definition, sub-system design and testing, integration, implementation and validation) and project management. Students will use UML/SysML to model systems. C++ will be introduced for algorithmic problem solving. Quality, risk and reliability associated with engineering systems will be explored.
20 credits - Engineering - You're Hired
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The Faculty-wide Engineering - You're Hired Week is a compulsory part of the second year programme, and the week has been designed to develop student academic, transferable and employability skills. Working in multi-disciplinary groups of about six, students will work in interdisciplinary teams on a real world problem over an intensive week-long project. The projects are based on problems provided by industrial partners, and students will come up with ideas to solve them and proposals for a project to develop these ideas further.
Core modules:
- Individual Project
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This module provides the opportunity for students to undertake a major piece of project work on an individual basis. The project will enhance knowledge and skills in the following areas: critical evaluation of technical literature, project planning and management, deepening knowledge in one or more technical areas and developing the ability to convey technical information both orally and in written form.
30 credits - Systems Design and Security
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This module provides a grounding in software systems design, highlighting security issues. Topics include: choice of software lifecycle, customer-developer interaction, requirements capture, information management, database design, functional design, design patterns, software architectures, user interfaces, data validation, software verification and testing. Security topics include: threats, countermeasures, policies and technologies. The lectures are complemented by an integrating team-project. This 20-credit unit prepares students to participate in the Software Hut (COM3420) in the Spring.
20 credits - Digital Signal Processing
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The aim is to introduce students to digital processing techniques, including sampling and analysis of digital signals, design of digital filers, and the introduction of digital image processing. Discrete signals and systems are studied, with an emphasis on the frequency-domain theory necessary for the analysis of discrete signals and design of digital filters. The concepts associated with digital images and some basic digital image processing operations are also covered.
10 credits - Accounting and Law for Engineers
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The module is designed to introduce engineering students to key areas of accounting and legal risk that engineers should be aware of in their working environment. The module will draw directly on practical issues of budgeting, assessing financial risks and making financial decisions in the context of engineering projects and/or product development. At the same time, the module will develop students' understanding of the legal aspects of entering into contracts for the development and delivery of engineering projects and products, and enhance their awareness of environmental regulation, liability for negligence, intellectual property rights and the importance of data protection. Through a series of parallel running lectures in the two disciplines, the module will provide a working knowledge of the two areas and how they impinge on engineering practice.
10 credits - Intelligent Systems
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This module will introduce students to the theme of intelligent systems with special applications to modelling, control, and pattern recognition. Although this technological area can be perceived as being broad, the focus will mainly be on Fuzzy Systems and on interesting synergies such as those between Fuzzy Systems and Artificial Neural Networks (ANN), including the Neuro-Fuzzy architecture. This module should appeal to all students from engineering as well as from science backgrounds who wish to learn more about Artificial Intelligence and Machine-Learning related paradigms, and mostly, how may the related architectures be applied effectively to solve real-world problems, i.e. non-linear, noisy, and the ones that are characterised by uncertainties. This unit is also timely indeed, since knowledge transfer from human to machine and from machine to human and knowledge extraction from data (Big Data) are seen particularly, as vital components for a successful economy, healthy well-being, and clean environment. Finally, the module strikes the too-often difficult balance between theoretical foundations and examples of applications via weekly interactive lectures, laboratory experiments, video demonstrations, and problem solving.
10 credits - State-Space Control Design
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The aims of this modules are: to introduce state-space methods for the analysis and design of controllers for multivariable systems; to teach the use of analytical tools and methods for state-space control design; to demonstrate similarities between continuous and sampled data systems; and to extend the analysis to non-linear systems.
10 credits
Material to be covered includes: Structural properties (modal decomposition, controllability, observability, stability); design (pole assignment, observer design, separation principle, internal model principle, optimal control, LQG, reference tracking, integral control) of continuous systems and equivalents for sampled-data systems.
Optional modules:
- Biomechatronics
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There are a wide range of important healthcare challenges in the 21st Century, such as the aging population, stroke, paralysis and the loss of limbs, which can be treated using biomechatronic devices such as exoskeletons, active prosthetic limbs and brain computer interfaces.
10 credits
'Biomechatronics' describes the integration of the human body with engineered devices composed of electronic, mechanical and control components (mechatronics) for the purposes of
(i) emulating and replacing natural human function lost through disease or accident and/or
(ii) augmenting natural human function to generate superhuman abilities.
The biomechatronics module will cover the subject of biomechatronics in theory and practical application, and span the main core topics of: neural control, biomedical signals, sensors and actuators. - Hardware-in-the-Loop & Rapid Control Prototyping
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This course represents an opportunity for students to gain hands-on experience of designing and implementing advanced controllers upon a challenging, real-world control problem. Uniquely, each student will be issued with their own, portable control hardware for the duration of the course. Students will learn how to interface such a system to industry standard software using a data acquisition device, before developing their own simulation models of the hardware. These models will be used to synthesise a feedback controller, and verified in simulation before being implemented upon the hardware. The resultant controller will then be refined in a cycle of rapid control prototyping.
10 credits - Machine Learning
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Machine learning is a component of artificial intelligence that enables a computer to learn how to perform a task from data or simulations rather than being explicitly programmed for every possible scenario. Machine learning is currently being applied in a number of fields including finance, robotics and autonomous systems and bioinformatics and has experienced a huge growth in industry in recent years. This module introduces the key foundational elements of machine learning, including: regression, classification and reinforcement learning. The module is taught by a combination of lectures and labs, where there is an emphasis on practical implementation of different methods.
10 credits - Robotics
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The module aims to explore robotic systems, both historically and as an area of rapid contemporary development. Students will be introduced to the different types and applications of robotic systems. An emphasis is placed on modelling and simulation. Sensing and actuation is also covered, with a focus on control of robot manipulators. Students will be exposed to a wide range of practical applications of robotic systems, and encouraged to discuss and reflect on the implications of using robots (e.g. ethical considerations, safety, social and economic impacts).
10 credits - Space Systems Engineering
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The module aims to introduce different mission types including communications, earth observation, weather, navigation, astronomy, scientific, interplanetary missions and space stations. Concepts of orbital motion such as Kepler Laws, Elliptic, Parabolic and Hyperbolic orbits are introduced. Hohmann orbit transfer, ground station visibility, launch windows are explained. The module provides an understanding of spacecraft sub-systems and control including attitude control and thermal control, as well as providing knowledge of propulsion systems for example chemical rockets, electric propulsion, nuclear rockets, and solar sails. Various concepts related to space environment are explored including, sun, solar wind, solar cycles, magnetosphere, magnetic storms, and geomagnetic indices. The module explains space weather phenomena and concepts. The module considers ground induced current and its effect on modern technological systems. Methodology that is used to forecast of space weather parameters are discussed.
10 credits - System Identification
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Modelling dynamical systems from first principles via Newton's, Kirchoff's or other known physical laws is often challenging and costly, requiring substantial expertise. An alternative is offered through 'system identification' that takes observations of inputs and outputs from physical systems and infers or estimates a dynamical model directly.
10 credits
This module introduces two main ways of thinking about the identification problem, the theoretical framework that underpins them and the algorithms that compute the model estimates. It uses synthetic and real problems to illustrate the process and shows how models can be validated for future use. - Design of Medical Devices and Implants
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The purpose of this module is for students to gain knowledge and experience in designing medical and assistive devices and implants, which underlines the role played by a Biomedical Engineer/Bioengineer. Topics include a survey of world health and clinical problems, the need for solutions in the developed, developing and underdeveloped countries; the principles of medical device and implant design; design parameters and specifications; design for an assistive product, engineering analysis; preclinical testing for safety and efficacy, risk/benefit ratio assessment, evaluation of clinical performance and design of clinical trials. Case studies and topical discussions are used to aid further understanding of specific topics.
10 credits - The Internet of Things
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Low cost networked computers add eyes and ears (or sensors) and arms, legs and voices (or actuators) to the Internet. These devices are then connected to on-line 'brains' (using big data, machine learning and analytics in the cloud). This field is called the Internet of Things (IoT). Will the result be a 'world robot'?! No matter, in a world of many more devices than people, engineers who know how the new tech works and how to secure it will be in high demand. The COM3505 module covers the context and history of the IoT, the hardware, communications protocols and security systems it relies on, and the cloud-side analytics that make sense of the data produced. It gives practical hands-on experience of common IoT devices (sensors, actuators, microcontrollers), and look at a range of commercial platforms. Each student is given an ESP32 wifi microcontroller to keep and we program live IoT applications using that device. Students will have the opportunity to use the Diamond electronics lab and the iForge project space to complete their own IoT device with a range of hardware and capabilities. [Students should be competent programmers to take this course, be ok using Git and the command-line, and be aware that there are limited places available.]
10 credits - Antennas, Radar and Navigation
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This module is about understanding the fundamentals and common applications of antennas and radar systems. The basic characteristics of some of the commonly used antennas, and antenna systems, will be examined in the context of practical design and application. The radar part of the module will introduce the basic concepts of radar and examine various types of commercial and military radar system in common use. The application of radar and other methods in airborne navigation and landing systems will be discussed. Throughout the module emphasis will be placed on 'first-order' analysis techniques in order to reduce the use of advanced mathematics.
10 credits - Reinforcement Learning
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This module aims to teach students the theory and implementation of reinforcement learning. Topics include: Supervised learning: the backpropagation algorithm (as prerequisite for Deep reinforcement learning). Reinforcement Learning: Temporal Difference Learning (Q learning, SARSA), Deep Reinforcement Learning, Advanced Topics. As well as the material taught in class, students are expected to self-study relevant books and research articles and produce reports in research article styles.
10 credits
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.
Learning and assessment
Learning
You'll learn through a combination of lectures, practical labs and tutorials and independent study. By the end of your first year you'll have learnt the full range of core foundations for control and systems engineering, as well as broader engineering skills. Our teaching is based on a systematic and structured approach to support your learning.
Laboratory and professional skills are strongly integrated within the taught modules, and you'll undertake your laboratory work in our award-winning Diamond building, using the latest equipment and technologies.
Our academic and research staff are world leaders in the study of robotics, signal processing and intelligent systems. The teaching you will receive is based on the latest thinking and we regularly introduce new modules in response to current developments in research and demands in the careers market.
Assessment
You will be assessed by a combination of exams and tests, coursework and practical work. The proportions for each will vary depending on the modules you choose.
Programme specification
This tells you the aims and learning outcomes of this course and how these will be achieved and assessed.
Entry requirements
With Access Sheffield, you could qualify for additional consideration or an alternative offer - find out if you're eligible.
The A Level entry requirements for this course are:
AAB
including Maths and a science
- A Levels + a fourth Level 3 qualification
- ABB including Maths and a science + B in a relevant EPQ; ABB including Maths and a science + A in AS or B in A Level Further Maths
- International Baccalaureate
- 34, with 6,5 (in any order) in Higher Level Maths and a science
- BTEC Extended Diploma
- DDD in Engineering or Applied Science + B in A Level Maths
- BTEC Diploma
- DD in Engineering or Applied Science + A in A Level Maths
- T Level
- Distinction in the relevant T Level, including grade A in the core component + B in A Level Maths
- Scottish Highers + 2 Advanced Highers
- AABBB + AB in Maths and a science
- Welsh Baccalaureate + 2 A Levels
- B + AA in Maths and a science
- Access to HE Diploma
- Award of Access to HE Diploma in a relevant subject, with 45 credits at Level 3, including 36 at Distinction and 9 at Merit
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Relevant T Level subjects include: Maintenance, Installation & Repair for Engineering & Manufacturing; Engineering, Manufacturing, Processing & Control; Digital Production, Design & Development; or Design & Development for Engineering & Manufacturing
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Science subjects include Biology/Human Biology, Chemistry, Computer Science, Electronics, Engineering, Further Maths, Physics, or Technology
The A Level entry requirements for this course are:
ABB
including Maths and a science
- A Levels + a fourth Level 3 qualification
- ABB including Maths and a science + B in a relevant EPQ; ABB including Maths and a science + A in AS or B in A Level Further Maths
- International Baccalaureate
- 33, with 5 in Higher Level Maths and a science
- BTEC Extended Diploma
- DDD in Engineering or Applied Science + B in A Level Maths
- BTEC Diploma
- DD in Engineering or Applied Science + B in A Level Maths
- T Level
- Distinction in the relevant T Level, including grade A in the core component + B in A Level Maths
- Scottish Highers + 2 Advanced Highers
- ABBBB + AB in Maths and a science
- Welsh Baccalaureate + 2 A Levels
- B + AB in Maths and a science
- Access to HE Diploma
- Award of Access to HE Diploma in a relevant subject, with 45 credits at Level 3, including 30 at Distinction and 15 at Merit
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Relevant T Level subjects include: Maintenance, Installation & Repair for Engineering & Manufacturing; Engineering, Manufacturing, Processing & Control; Digital Production, Design & Development; or Design & Development for Engineering & Manufacturing
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Science subjects include Biology/Human Biology, Chemistry, Computer Science, Electronics, Engineering, Further Maths, Physics, or Technology
You must demonstrate that your English is good enough for you to successfully complete your course. For this course we require: GCSE English Language at grade 4/C; IELTS grade of 6.0 with a minimum of 5.5 in each component; or an alternative acceptable English language qualification
Equivalent English language qualifications
Visa and immigration requirements
Other qualifications | UK and EU/international
If you have any questions about entry requirements, please contact the school/department.
Graduate careers
School of Electrical and Electronic Engineering
Our courses prepare you for a career where you'll apply your creative problem-solving skills and your understanding of engineering principles to the real world, while working in multidisciplinary teams. These transferable skills can be applied in many sectors across the breadth of engineering and beyond.
During your degree you'll have plenty of opportunities to enhance your employability. You can choose to go on a placement in industry, either during the summer or as a year in industry. Or you could consider studying abroad, either for a full year, or as part of a summer school.
We also have extracurricular projects where you can work with other engineering and science students to design and build rockets, submersible robots, autonomous payloads for satellites, rovers and more. You could also take part in a scheme for undergraduates where you work on research projects with academics over the summer period.
Graduates from all of our courses are highly employable and work all over the world for companies such as Arup, Rolls-Royce, Boeing, Jaguar Land Rover, Thales and IBM. They go on to become professional engineers in a variety of industries, including manufacturing, power generation and sustainable energy.
School of Electrical and Electronic Engineering
The National Student Survey 2021
Graduate Outcomes 2020
We are home to the Rolls-Royce University Technology Centre and have research contracts with major institutions like the European Space Agency, as well as our many academic and industrial partners. These connections mean our teaching is based on the latest thinking.
Facilities
Our facilities include a robotics and automation lab and a control and power systems laboratory, as well as a state-of-the-art electronics and control lab in the Diamond.
School of Electrical and Electronic EngineeringUniversity rankings
Number one in the Russell Group
National Student Survey 2024 (based on aggregate responses)
92 per cent of our research is rated as world-leading or internationally excellent
Research Excellence Framework 2021
University of the Year and best for Student Life
Whatuni Student Choice Awards 2024
Number one Students' Union in the UK
Whatuni Student Choice Awards 2024, 2023, 2022, 2020, 2019, 2018, 2017
Number one for Students' Union
StudentCrowd 2024 University Awards
A top 20 university targeted by employers
The Graduate Market in 2023, High Fliers report
A top-100 university: 12th in the UK and 98th in the world
Times Higher Education World University Rankings 2025
Student profiles
Fees and funding
Fees
Additional costs
The annual fee for your course includes a number of items in addition to your tuition. If an item or activity is classed as a compulsory element for your course, it will normally be included in your tuition fee. There are also other costs which you may need to consider.
Funding your study
Depending on your circumstances, you may qualify for a bursary, scholarship or loan to help fund your study and enhance your learning experience.
Use our Student Funding Calculator to work out what you’re eligible for.
Additional funding
Department of Automatic Control and Systems Engineering scholarships
Placements and study abroad
Placement
Study abroad
Visit
University open days
We host five open days each year, usually in June, July, September, October and November. You can talk to staff and students, tour the campus and see inside the accommodation.
Subject tasters
If you’re considering your post-16 options, our interactive subject tasters are for you. There are a wide range of subjects to choose from and you can attend sessions online or on campus.
Offer holder days
If you've received an offer to study with us, we'll invite you to one of our offer holder days, which take place between February and April. These open days have a strong department focus and give you the chance to really explore student life here, even if you've visited us before.
Campus tours
Our weekly guided tours show you what Sheffield has to offer - both on campus and beyond. You can extend your visit with tours of our city, accommodation or sport facilities.
Apply
Contact us
- Telephone
- +44 114 222 5647
- study@sheffield.ac.uk
The awarding body for this course is the University of Sheffield.
Recognition of professional qualifications: from 1 January 2021, in order to have any UK professional qualifications recognised for work in an EU country across a number of regulated and other professions you need to apply to the host country for recognition. Read information from the UK government and the EU Regulated Professions Database.
Any supervisors and research areas listed are indicative and may change before the start of the course.