Systems Engineering MEng
A*AA at A level, Mathematics and Physics; graduates earn a median £37,000 three years on.
Typical A level offer
A*AA
Mathematics and Physics · 87% of entrants came with A levels · 94% stay on after year 1 · Warwick course page, Discover Uni
Year 13 · applying
What do you need to get in?
A*AAtypical A level offer; a*aa 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: AAA, for applicants from under-represented backgrounds.
Warwick course page, read 19 September 2026 · Discover Uni entry profile
- 1Mathematics and Physics
Who actually got in: 87% with A levels, 13% with the IB. 16% arrived with 208 or more UCAS tariff points — roughly A*A*A or better. Based on 100 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 | 38 points38 to include 6,6,6 at Higher Level and 6,6 in Mathematics and Physics, at least one of which is at Higher Level. | 6,6,6 at Higher Level and 6,6 in Mathematics and Physics, at least one of which is 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 AAA 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 1–4
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 · 7 core, 2 optional · 105 credits ≈ 1,050 hours
- 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
- Computer Architecture and Systems
What you learn (10)
- solve problems involving combinational logic circuits
- solve problems involving sequential logic circuits
- construct logic functions using basic digital building blocks
- break down complex programs into low-level processor instructions
- relate program decomposition to processor microarchitecture operation
- compare interface types connecting peripherals, memory and processors
- use technical documentation to evaluate interface specifications
- write structured C programs for general computing applications
- write structured C programs for microcontroller applications
- implement interrupts and timers within microcontroller programs
- 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
- 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
2 optional modules
- Motor Vehicle Technology
What you learn (8)
- gather relevant information from multiple sources for a given topic
- collaborate effectively within a team to achieve shared goals
- lead a team towards completion of a shared task
- evaluate vehicle life-cycle approaches for achieving carbon neutrality
- describe the function of vehicle chassis and powertrain subsystems
- apply knowledge of propulsion and safety systems to vehicle design problems
- evaluate current regulations and legislation governing vehicle design
- apply ISO 26262 principles to manage risks in electrical and electronic vehicle systems
- Sensors
What you learn (6)
- analyse signal propagation behaviour in transmission lines
- explain the operational principles underlying different sensor types
- describe the design and function of sensor interface circuits
- solve engineering problems involving sensor applications
- design solutions incorporating sensors or sensor interfaces
- describe key concepts and practices in quality management
Year 3 · 6 core, 1 optional · 105 credits ≈ 1,050 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
- 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
- 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
- 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
- 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
Year 4 · 5 core, 5 optional · 90 credits ≈ 900 hours
- Group Project
What you learn (13)
- apply integrated systems thinking to solve complex engineering problems
- extract and evaluate relevant data for engineering analysis
- complete an engineering design project meeting user requirements
- apply innovative techniques or materials to solve complex design problems
- consider quality management principles in project delivery
- evaluate wider project considerations such as risk, safety, ethics and sustainability
- incorporate legal and professional standards into a project brief
- plan and manage a project from design through to delivery
- explain the commercial and social context of a project
- communicate technical information effectively to varied audiences
- collaborate within a team to achieve shared project goals
- monitor and adjust personal work plans during a project
- record personal learning and development for continuing professional growth
- Advanced Robotics
What you learn (8)
- solve kinematic problems for serial robot arms
- develop computational models for robotic kinematic analysis
- evaluate computational models used in robotic kinematic analysis
- research independently non-industrial robotic applications
- critically evaluate emerging non-industrial uses of robotics
- evaluate mobile robot locomotion and sensor technologies
- apply probabilistic techniques creatively to mobile robotics
- evaluate control system performance for a robotic arm experimentally
- Design for Sustainability
What you learn (6)
- explain the importance of material resource limitations in engineering design decisions
- apply low-energy materials and technologies to small-scale product design
- apply resource-efficient technologies to large-scale engineering projects
- evaluate the relevance of environmental legislation to businesses of different sizes
- assess the impact of environmental standards on business operations
- explain how design form affects adaptability and reuse potential
- Mathematical and Computer Modelling
What you learn (7)
- construct mathematical models for engineering problems
- select appropriate mathematical models for given engineering scenarios
- choose suitable computational methods for engineering problems
- apply appropriate software tools to solve engineering tasks
- explain the underlying principles and purpose of engineering models
- implement key computational methods using Matlab
- evaluate the effectiveness of computational methods applied in Matlab
- Advanced Control Systems
What you learn (3)
- analyse closed-loop system robustness to unstructured uncertainty
- evaluate multivariable controller robustness to structured uncertainty using mu-analysis
- use advanced control design software environments and toolboxes
5 optional modules
- Quality Systems
What you learn (11)
- evaluate strengths and limitations of different quality philosophies and models
- assess the impact of quality models on organisational performance
- combine leadership and management principles to guide engineering organisations
- make decisions by weighing numerical, human and business factors
- design change management approaches using systems thinking and motivation theory
- develop quality strategies to achieve business improvement
- implement quality strategies within an organisation
- assess the quality of own work against relevant criteria
- reflect on personal experience and practice to improve performance
- present ideas clearly in written form
- present ideas clearly in oral form
- Simulation of Operations
What you learn (10)
- write a report presenting simulation study results
- formulate recommendations based on simulation evidence
- analyse experimental results using structured statistical methods
- evaluate engineering proposals using experimental findings
- build a discrete event simulation of a facility's operation
- explain discrete event simulation theory in depth
- simplify a problem to fit discrete event simulation methods
- select suitable modelling simplifications for a simulation
- design a set of simulation experiments
- run simulation experiments to test a model
- Automobile Systems, Dynamics and Control
What you learn (11)
- construct mathematical models of key automobile subsystem dynamics
- analyse interactions between automobile subsystems
- draft customer and system requirements using systems engineering approach
- build vehicle subsystem models within a simulation environment
- assess simulation models against lifecycle modelling requirements
- represent international standard vehicle test procedures in models
- judge vehicle performance using standard test outcomes
- apply control theory techniques to passive vehicle systems
- apply control theory techniques to active vehicle systems
- develop a model of an active vehicle control system
- evaluate the effect of an active system model on vehicle performance
- Biomedical Systems Modelling
What you learn (5)
- construct dynamic models of biomedical systems grounded in physical principles
- apply analytical methods to examine the qualitative behaviour of system models
- explain the application of continuous systems simulation in biomedical modelling
- evaluate the contribution of simulation techniques to biomedical systems modelling
- validate biomedical system models against experimental data using multiple methods
- Supply Chain Management
What you learn (10)
- evaluate end-to-end supply chain strategies against customer needs
- apply supply chain principles to align operations with customer requirements
- select appropriate techniques for managing global and domestic supply chain entities
- evaluate methods for building and maintaining supply chain partnerships
- use operations management tools to improve supply chain performance
- recommend logistics solutions that satisfy customer delivery requirements
- apply sustainability principles to supply chain design
- identify regulatory factors affecting environmental sustainability in supply chains
- analyse supply chain concepts and present findings in written form
- present supply chain analysis verbally to an audience
Year not stated · 0 core, 1 optional
1 optional module
- Biological Systems: Analysis, Dynamics and Control
What you learn (9)
- describe core design principles of synthetic biological systems
- explain how modelling supports design of biological circuits
- construct mathematical models of biological systems
- simulate biological system models to predict behaviour
- apply computational software tools to analyse biological models
- analyse biological datasets using appropriate analytical methods
- design synthetic biological systems using modelling techniques
- use Matlab toolboxes to analyse biological systems
- integrate experimental and theoretical ideas across disciplines in synthetic biology
“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?
£37,000median pay three years after graduating
Lower quarter£32k
Median£37k
Upper quarter£46k
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 50 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 £32,000 and £46,000. Five years on, the median is £53,500. 95% were in work or further study 15 months after finishing; 100% of those in work were in professional or managerial jobs.
All outcome figures7
| Measure | Value | Based on |
|---|---|---|
| Continue after year 15% left | 94% | 105 |
| In work or study, 15 months on15% studying | 95% | 15 |
| Professional or managerial job | 100% | 15 |
| Pay 15 months on, median | £35,500 | 45 |
| Pay 3 years on, median | £37,000 | 50 |
| Pay 5 years on, median | £53,500 | 45 |
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 £40,200 in fees over 4 years, covered by a tuition fee loan you repay only when earning above the threshold.
National Student Survey 2025-26
What do students say?
94%agreed the course was good overall (question 26)
NSS — a yearly survey of final-year students at every UK university; 89% of this course’s final year answered. Small groups can swing a lot year to year.
National Student Survey, via Discover Uni · 15 students answered
Highest: 100% agreed on question 3; lowest: 38% on question 14.
All questions26
| Question | Agree |
|---|---|
| Question 1 | 81% |
| Question 2 | 69% |
| Question 3 | 100% |
| Question 4 | 88% |
| Question 5 | 63% |
| Question 6 | 88% |
| Question 7 | 69% |
| Question 8 | 75% |
| Question 9 | 69% |
| Question 10 | 81% |
| Question 11 | 100% |
| Question 12 | 88% |
| Question 13 | 56% |
| Question 14 | 38% |
| Question 15 | 87% |
| Question 16 | 87% |
| Question 17 | 81% |
| Question 18 | 64% |
| Question 19 | 75% |
| Question 20 | 73% |
| Question 21 | 67% |
| Question 22 | 81% |
| Question 23 | 81% |
| Question 24 | 81% |
| Question 25 | 64% |
| Question 26 | 94% |
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.