Engineering BEng
AAA at A level, Mathematics and Physics; graduates earn a median £32,000 three years on.
Typical A level offer
AAA
Mathematics and Physics · 95% of entrants came with A levels · 75% stay on after year 1 · Warwick course page, Discover Uni
Year 13 · applying
What do you need to get in?
AAAtypical A level offer; aaa to include mathematics and physics. applicants with a strong profile who are studying one from a level physics or a level mathematics may be considered.
Typical offer — the grades most applicants are asked for. Contextual offer: AAB, for applicants from under-represented backgrounds.
Warwick course page, read 19 September 2026 · Discover Uni entry profile
- 1Mathematics and Physics
Who actually got in: 95% with A levels, 5% with the IB. 10% arrived with 208 or more UCAS tariff points — roughly A*A*A or better. Based on 30 entrants.
UCAS tariff points — a points scale for grades: A* = 56, A = 48, so A*A*A = 160. Entrants’ totals include extra subjects.
Other qualifications4
| Qualification | Typical offer | Required subjects |
|---|---|---|
| IB | 36 points36 to include 6, 6 in Mathematics and Physics - at least one of these subjects should be at Higher Level. | 6, 6 in Mathematics and Physics - at least one of these subjects should be at Higher Level |
| BTEC | —We welcome applications from students who offer a combination of relevant BTEC and A level subjects. Applicants with a strong profile taking BTEC alongside A level Mathematics, Further Mathematics or | — |
| Advanced Highers | AAAA in Advanced Highers in Mathematics and Physics plus AAB in Highers in three further subjects. | — |
| Access | 45 Credits at Level 3, including Distinction in 33 Level 3 credits and Merit in We will consider applicants returning to study who are presenting a QAA-recognised Access to Higher Education Diploma on a case-by-case basis. Typically, we require 45 Credits at Level 3, including Di | — |
Years 1–3
What do you study?
8compulsory modules in year 1
Compulsory modules this year: engineering & manufacturing 53% · mathematics & statistics 14% · business & administration 9% · transversal skills 8%.
Module — one course unit, usually a term or a year long; “core” means everyone takes it. One UK credit is about ten hours of study; a full year is 120 credits.
Warwick course page · optional modules vary by year
Year 1 · 8 core · 120 credits ≈ 1,200 hours
- Dynamics and Thermodynamics
What you learn (11)
- describe fundamental principles of dynamic mechanical systems
- analyse kinematic motion in one and two dimensions using different coordinate systems
- solve kinetics problems in one and two dimensions
- apply impulse-momentum and energy methods to dynamic systems
- explain thermodynamic properties of systems and heat transfer
- apply thermodynamic property concepts to engineering problems
- explain the first law of thermodynamics
- apply the first law of thermodynamics to closed and open systems
- apply the second law of thermodynamics to engineering problems
- conduct laboratory experiments and analyse resulting data
- simplify real-world engineering problems through reasonable assumptions
- Electrical and Electronic Circuits
What you learn (5)
- apply fundamental laws governing electrical and electronic circuits
- identify suitable simplifying assumptions for real electrical components
- construct simplified models of electronic components for analysis
- measure electrical parameters of components using laboratory instruments
- build electrical circuits to investigate their behaviour
- Engineering Design
What you learn (10)
- create innovative product concepts that meet functional requirements
- evaluate trade-offs between technical, commercial and regulatory design constraints
- integrate socio-environmental considerations into engineering design decisions
- apply a structured design process from concept to verification
- use computational tools to model functional components quantitatively
- plan and manage engineering design projects effectively
- communicate design ideas effectively within individual and team contexts
- design solutions that address health and safety requirements
- incorporate diversity, inclusion and cultural considerations into design solutions
- evaluate environmental and societal impacts of engineering design choices
- Engineering Mathematics
What you learn (4)
- apply mathematical techniques to solve engineering problems
- apply probability and statistical methods to solve engineering problems
- formulate simplifying assumptions to model real-world engineering scenarios
- analyse mathematical models using statistical and numerical methods
- Engineering Business Management & Professional Skills
What you learn (11)
- explain contemporary management concepts and practices
- identify security risks associated with management practices
- discuss ethical implications of management decisions
- evaluate a business's position within its market and economy
- formulate strategic recommendations for business development
- assess risk management approaches for a business
- explain the relevance of equality, diversity and inclusion in engineering
- analyse the process of management accounting
- explain the importance of costing in business management
- plan a personal self-learning and development strategy
- record evidence of continuing professional development
- Materials for Engineering
What you learn (9)
- explain how materials selection links to the engineering design process
- describe the characteristic properties of major families of engineering materials
- relate material property differences to underlying microstructure
- combine performance, cost and environmental impact criteria in materials selection
- describe strengthening mechanisms in structural engineering materials
- relate strengthening mechanisms to mechanical properties such as stiffness and toughness
- calculate predicted failure for engineering applications using material data
- describe methods used to measure fundamental mechanical properties of materials
- relate experimental test data to engineering design data in data sheets and CAE tools
- Engineering Structures
What you learn (11)
- explain engineering principles governing static structural behaviour
- apply structural analysis methods to solve static loading problems
- apply mathematical techniques to model structural behaviour under static loads
- solve engineering problems concerning structures using analytical methods
- record experimental data from practical structural tests
- interpret results of practical experiments on structures
- communicate experimental findings and discuss limitations of methods used
- perform laboratory and workshop techniques relevant to structural testing
- evaluate health and safety considerations in laboratory and workshop settings
- simplify real-life engineering problems using sound engineering judgement
- construct simplified models representing real engineering scenarios
- Systems Modelling, Simulation and Computation
What you learn (10)
- apply computational thinking techniques to structure modelling problems
- develop software to solve simulation and modelling tasks
- collaborate within a team to build a purpose-driven model
- present a developed model to a target user audience
- simplify a real engineering problem into manageable components
- formulate a mathematical approximation of an engineering problem
- derive mathematical relationships from experimental or observed data
- explain how a system responds to standard test inputs
- predict system behaviour using analytical calculation methods
- predict system behaviour using simulation-based methods
Year 2 · 6 core, 3 optional · 90 credits ≈ 900 hours
- Dynamics and Fluid Mechanics
What you learn (14)
- distinguish conservative from non-conservative forces
- analyse simple mechanical systems using force concepts
- apply force classification to model real-world systems
- derive governing equations using work-energy principles
- evaluate system response from derived equations of motion
- perform kinematic analysis of rigid bodies using vector methods
- perform dynamic analysis of rigid bodies using graphical solutions
- explain fundamental equations governing fluid mechanics
- classify flow regimes using dimensionless numbers
- apply Bernoulli's principle to predict inviscid flow behaviour
- identify limitations of Bernoulli's principle
- describe extensions to fluid mechanics theory beyond basic assumptions
- analyse experimental velocity and pressure measurements
- quantify sources of experimental error in fluid measurements
- Electromechanical System Design
What you learn (9)
- apply measurement techniques to electro-mechanical systems
- formulate a concept for an electro-mechanical system
- design an electro-mechanical system to meet requirements
- evaluate the performance of an electro-mechanical system design
- apply mathematical formulas to calculate electrical power types
- evaluate the efficiency of a power system containing transformers and motors
- describe how motors convert energy in electro-mechanical systems
- implement control using sensors, op-amps and actuators
- produce a sustainable design considering product life-cycle and societal impact
- Engineering Mathematics and Data Analytics
What you learn (5)
- identify suitable advanced mathematical techniques for engineering problems
- apply advanced mathematical methods to solve engineering problems
- construct mathematical models representing complex engineering systems
- use computational methods to solve complex engineering problems
- apply data analytics techniques to engineering-generated datasets
- Mechanical Engineering Design
What you learn (14)
- interpret diverse needs and perspectives influencing an engineering project
- write a design specification from appraised requirements
- evaluate provided information for completeness
- conduct research or experimentation to resolve technical uncertainty
- select a suitable design process model for a project
- design a sustainable product that meets a given specification
- calculate the cost of a designed product
- apply engineering fundamentals from across the course to a design task
- evaluate the success of a designed product
- design improvements to an existing product
- communicate an improved product design to non-specialist audiences
- identify team members' roles and skill sets
- work effectively within a team while taking personal responsibility
- plan and record self-directed learning activities
- Systems and Software Engineering Principles
What you learn (10)
- explain core systems engineering concepts and lifecycle models
- explain different lifecycle process models used in engineering projects
- compare strengths and weaknesses of lifecycle process models
- model a system's structure using a modelling language such as sysml
- model a system's behaviour using a modelling language such as sysml
- apply a systems approach to translate stakeholder needs into a product design
- apply quality techniques during product development and testing
- apply object-oriented techniques to solve complex engineering problems
- apply a structured process to assess risks across a system's lifecycle
- demonstrate effective collaboration within an engineering design project team
- Signal Processing
What you learn (13)
- apply mathematical techniques to analyse deterministic signals
- apply mathematical techniques to analyse random signals
- analyse the behaviour of signal processing systems mathematically
- use signal processing systems to classify different signal types
- extract key features from signals using processing techniques
- identify practical issues encountered in signal processing
- discuss practical challenges relevant to signal processing applications
- design signal processing systems that meet specified requirements
- model signals and filters using computational software tools
- implement signal processing systems using computational tools
- plan a personal programme of self-directed learning
- record evidence of ongoing self-learning activities
- demonstrate progress in lifelong learning development
3 optional modules
- Analogue Electronic Design
What you learn (6)
- identify common analogue electronic devices and circuits
- design analogue electronic systems to meet given specifications
- measure characteristics of analogue electronic components
- calculate expected performance of analogue circuits
- build analogue electronic circuits to test behaviour
- calculate operating parameters of analogue circuits
- Materials & Technologies for Sustainable Energy
What you learn (9)
- analyse performance data of sustainable energy materials
- evaluate technological limitations in terms of efficiency and sustainability
- critically review technical literature on materials technology
- propose new approaches to improve material efficiency and sustainability
- evaluate environmental and societal impacts of new materials technologies
- select appropriate materials and processes for site-specific energy problems
- apply engineering technologies while considering their limitations
- describe quality management and continuous improvement practices
- communicate materials and technology concepts to technical and non-technical audiences
- Manufacturing Management
What you learn (9)
- analyse how wider business goals influence strategic design of operations
- apply analytical frameworks to assess manufacturing strategy decisions
- evaluate how operational decisions are aligned with organisational strategy
- assess the role of priorities and resource constraints in operations planning
- evaluate performance indicators used to monitor manufacturing operations
- explain human and organisational factors affecting manufacturing management
- apply theories to evaluate performance management and motivation practices
- apply theories to evaluate recruitment and workforce planning approaches
- analyse managerial decision-making processes in manufacturing settings
Year 3 · 7 core, 3 optional · 120 credits ≈ 1,200 hours
- Individual Project
What you learn (13)
- formulate project aims and objectives based on literature review
- evaluate project risks and constraints across technical, commercial and ethical domains
- create a project plan incorporating risk management strategies
- apply knowledge from multiple disciplines to analyse a complex engineering problem
- evaluate solutions considering production, operation, maintenance and disposal
- analyse project results using appropriate methods
- communicate findings and methodology to varied audiences
- plan and manage an individual project schedule and budget
- monitor and adjust project progress throughout its lifecycle
- identify ethical issues relevant to the project
- justify decisions based on professional ethical standards
- evaluate personal learning outcomes and skills gained from the project
- plan future learning goals based on project experience
- Advanced Mechanical Engineering Design
What you learn (16)
- select constraints to structure and advance a complex design task
- judge how to proceed with a design despite technical uncertainty and incomplete data
- select suitable components, assemblies and configurations for a design
- apply design and analysis techniques to decide key dimensions and materials
- model candidate design solutions
- use model results to guide design decisions
- apply failure modes and effects analysis to critique a design
- analyse the influence of uncertainty and safety factors on design performance
- propose practical improvements to a design
- design solutions meeting user, business and customer requirements
- incorporate health, safety and security considerations into a design
- account for diversity, inclusion, cultural and environmental factors in design decisions
- balance competing stakeholder needs in design decisions
- apply ethical and inclusive principles to design practice
- plan a sequence of individual and team tasks for a project
- collaborate effectively within a small team
- Systems Modelling and Control
What you learn (13)
- construct state space models for linear systems
- construct state space models for nonlinear systems
- design state space feedback control systems using analytical techniques
- derive differential equation models of physical systems from physical laws
- identify common behavioural patterns across different physical systems
- analyse time domain responses of linear and nonlinear systems to various inputs
- analyse frequency domain responses of linear and nonlinear systems to various inputs
- simulate dynamical behaviour of physical systems using MATLAB/Simulink
- predict steady-state and transient responses of systems to different inputs
- assess system stability using computational analysis
- analyse open loop physical system behaviour using MATLAB/Simulink
- design PID feedback controllers using computational tools
- evaluate stability and performance of designed control systems
- Engineering Fluid Mechanics
What you learn (10)
- evaluate the significance of fluid mechanics in mechanical engineering practice
- extend existing knowledge of fluid systems
- explain how conservation laws of mass, momentum and energy apply to fluid problems
- determine fluid behaviour in complex engineering situations
- formulate mathematical descriptions representing key fluid flow features
- differentiate between distinct types of fluid phenomena
- abstract general solutions from specific fluid flow problems
- design appropriate models to represent engineering fluid problems
- calculate engineering quantities such as pressure, drag, lift and power
- apply advanced numerical methods to solve fluid mechanics problems
- Power Systems and Electrical Machines
What you learn (5)
- apply mathematical methods to solve electrical machine problems
- evaluate the operating performance of electrical machines using research literature
- assess the design, operation and control of power systems
- analyse the working principles of transformers and transmission equipment
- evaluate electrical machine performance through laboratory experimentation
- Advanced Systems and Software Engineering
What you learn (5)
- apply systems and software engineering principles to build a complex system
- use data-driven methods to estimate models of dynamic systems
- collaborate productively within a team to achieve shared goals
- evaluate own strengths and weaknesses to identify development needs
- combine knowledge and skills from multiple disciplines to design a complex system
3 optional modules
- Automation and Robotics
What you learn (10)
- evaluate the economic benefits and drawbacks of industrial automation
- evaluate the social benefits and drawbacks of industrial automation
- compare mechanical configurations of industrial robots
- justify the choice of a robot configuration for a given task
- create an off-line robot program using kinematic simulation software
- identify sources of positional error in robotic applications
- calculate the positional error for a given robotic application
- analyse safety hazards in an automated system application
- select appropriate sensors or machine vision for an automation task
- set up a machine vision system for an application
- Intelligent System Design
What you learn (9)
- gather and prepare datasets for machine learning development
- select and train a machine learning model for a given task
- test and assess the performance of a developed machine learning system
- select appropriate machine learning techniques for practical problems
- apply machine learning methods to solve real-world problems
- evaluate the effectiveness of machine learning solutions
- select suitable computer vision techniques for tasks such as face recognition
- apply computer vision methods to problems like motion estimation
- evaluate the performance of computer vision solutions
- Biomedical Imaging and Medical Devices
What you learn (6)
- explain how physical principles underpin medical imaging techniques
- compare clinical methods used to investigate the body and brain
- carry out quantitative evaluations of imaging system performance limits
- carry out qualitative evaluations of sensing technology limitations
- analyse applications of imaging and sensing in diagnostics, surgery and therapy
- communicate complex engineering concepts clearly to an audience
“What you learn” restates each module’s published learning outcomes in our own words, as short skill statements in the same form as the GCSE and A level curriculum, with the help of an AI model; fields of knowledge follow the twelve fields of the knowledge sphere. The university’s module page, linked from each title, is the authoritative description.
After graduating
Where does it lead?
£32,000median pay three years after graduating
Lower quarter£25k
Median£32k
Upper quarter£40k
Median — the middle earner: half earned more, half less. Pay is for graduates of this subject at this university who finished in 2016-18, not adjusted for inflation; based on 20 graduates.
Discover Uni dataset (HESA and Office for Students, CC BY 4.0, contains HESA data); earnings from the Longitudinal Education Outcomes data (Department for Education) · aggregation level 14, 13, 23
Half of graduates earned between £25,000 and £39,500. Five years on, the median is £44,000. 100% were in work or further study 15 months after finishing; 45% of those in work were in professional or managerial jobs.
All outcome figures7
| Measure | Value | Based on |
|---|---|---|
| Continue after year 120% left | 75% | 45 |
| In work or study, 15 months on5% studying | 100% | 20 |
| Professional or managerial job | 45% | 15 |
| Pay 15 months on, median | £35,000 | 10 |
| Pay 3 years on, median | £32,000 | 20 |
| Pay 5 years on, median | £44,000 | 20 |
Money
What does it cost?
£10,050a year for UK students, 2027/28 entry
Tuition fee loan — paid straight to the university; repayments start the April after you leave, at 9% of income above the threshold. UK fees are capped by government and rise with inflation; placement and study-abroad years are usually charged at a lower rate.
Warwick fees page · source
About £30,150 in fees over 3 years, covered by a tuition fee loan you repay only when earning above the threshold.
National Student Survey 2025-26
What do students say?
96%agreed the course was good overall (question 26)
NSS — a yearly survey of final-year students at every UK university; 65% of this course’s final year answered. Small groups can swing a lot year to year.
National Student Survey, via Discover Uni · 35 students answered
Highest: 100% agreed on question 16; lowest: 54% on question 14.
All questions26
| Question | Agree |
|---|---|
| Question 1 | 92% |
| Question 2 | 86% |
| Question 3 | 96% |
| Question 4 | 86% |
| Question 5 | 84% |
| Question 6 | 86% |
| Question 7 | 90% |
| Question 8 | 72% |
| Question 9 | 94% |
| Question 10 | 58% |
| Question 11 | 88% |
| Question 12 | 86% |
| Question 13 | 86% |
| Question 14 | 54% |
| Question 15 | 98% |
| Question 16 | 100% |
| Question 17 | 88% |
| Question 18 | 76% |
| Question 19 | 90% |
| Question 20 | 88% |
| Question 21 | 96% |
| Question 22 | 94% |
| Question 23 | 94% |
| Question 24 | 88% |
| Question 25 | 77% |
| Question 26 | 96% |
Question texts are published by the Office for Students; the dataset carries only the question numbers.
Modules, entry requirements and fees are facts read from University of Warwick’s course page on 2026-09-19 and may change; the university’s page is authoritative. Descriptions are not reproduced. Outcome figures are from the Discover Uni dataset. University of Warwick is a trade mark of the university; sch.today is independent of it.