Biomedical Systems Engineering MEng
A*AA at A level, Mathematics and Physics; graduates earn a median £35,000 three years on.
Typical A level offer
A*AA
Mathematics and Physics · 95% of entrants came with A levels · 95% 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: 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 15 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, 3 optional · 105 credits ≈ 1,050 hours
- Introduction to Biomedical Engineering
What you learn (9)
- identify the main sub-fields of biomedical engineering
- describe the scope and applications of each biomedical engineering field
- explain the core principles underlying key biomedical technologies
- describe biomedical engineering as a professional discipline
- identify ethical issues relevant to biomedical engineering practice
- apply engineering techniques to analyse biomedical problems
- evaluate solutions to biomedical engineering problems
- demonstrate teamwork skills within a biomedical engineering project
- communicate biomedical engineering concepts effectively to others
- 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
- Medical Device Design
What you learn (9)
- describe the physical mechanisms underlying medical device function
- describe the physiological processes relevant to medical device operation
- evaluate the suitability of new healthcare technologies using published research
- assess the technical feasibility of a proposed medical device
- evaluate the cost-effectiveness of a proposed medical device
- prioritise medical or epidemiological needs to guide technology selection
- collaborate within a team to design a medical device
- identify ethical issues arising in medical device design and use
- prioritise ethical concerns related to medical device regulation
- 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
- 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
- Technology in International Development
What you learn (9)
- explain how international development relates to the UN Sustainable Development Goals
- evaluate technologies used to provide engineering infrastructure and services
- assess approaches to sustainable management of engineering services
- apply technological choices to development problems
- critically analyse technology options using economic, social and environmental criteria
- develop innovative solutions for sustainable development challenges
- apply quantitative methods to analyse development problems
- present technical information clearly to specialist and non-specialist audiences
- collaborate effectively as part of a team
- 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, 2 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
- 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
- Biomechanics
What you learn (13)
- apply core biomechanics principles to biological and medical systems
- explain the fundamentals of kinematics
- calculate kinematic variables describing human motion
- operate gait laboratory equipment to capture motion data
- analyse kinematic and kinetic data from human movement
- derive link-segment equations for body segments
- analyse reaction forces and moments in two-dimensional human motion
- explain work, energy and power concepts in human movement
- relate mechanical energy concepts to muscle function
- describe mechanical models of biological cells and tissues
- derive force-balance equations for biological structures
- evaluate experimental techniques for measuring cell and tissue mechanics
- explain the working principles and limitations of mechanical testing methods
- 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
2 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
Year 4 · 5 core · 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
- 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
- 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
- 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
Year not stated · 0 core, 2 optional
2 optional modules
- Biomedical Materials, Tissue Engineering and Regenerative Medicine
What you learn (6)
- explain key concepts underlying biomaterial design
- describe processes used to test biomaterials
- analyse applications of biomaterials in tissue engineering
- analyse the use of biomaterials in regenerative medicine
- discuss current advances in biomaterials and regenerative technologies
- evaluate state-of-the-art techniques in tissue engineering
- Biomedical Signal Processing
What you learn (4)
- explain the physical and physiological principles underlying biomedical signals
- explain advanced concepts of digital signal processing
- apply signal processing methods to extract information from physiological measurements
- collaborate within a team to solve a complex biomedical signal processing problem
“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?
£35,000median pay three years after graduating
Lower quarter£30k
Median£35k
Upper quarter£42k
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 285 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 12, 13, 22
Half of graduates earned between £29,500 and £42,000. Five years on, the median is £44,500. 92% were in work or further study 15 months after finishing; 88% of those in work were in professional or managerial jobs.
All outcome figures7
| Measure | Value | Based on |
|---|---|---|
| Continue after year 15% left | 95% | 15 |
| In work or study, 15 months on7% studying | 92% | 190 |
| Professional or managerial job | 88% | 155 |
| Pay 15 months on, median | £35,000 | 110 |
| Pay 3 years on, median | £35,000 | 285 |
| Pay 5 years on, median | £44,500 | 285 |
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?
92%agreed the course was good overall (question 26)
NSS — a yearly survey of final-year students at every UK university; 75% of this course’s final year answered. Small groups can swing a lot year to year.
National Student Survey, via Discover Uni · 285 students answered
Highest: 92% agreed on question 1; lowest: 49% on question 14.
All questions26
| Question | Agree |
|---|---|
| Question 1 | 92% |
| Question 2 | 78% |
| Question 3 | 90% |
| Question 4 | 84% |
| Question 5 | 82% |
| Question 6 | 86% |
| Question 7 | 80% |
| Question 8 | 77% |
| Question 9 | 86% |
| Question 10 | 65% |
| Question 11 | 77% |
| Question 12 | 78% |
| Question 13 | 79% |
| Question 14 | 49% |
| Question 15 | 90% |
| Question 16 | 91% |
| Question 17 | 81% |
| Question 18 | 81% |
| Question 19 | 92% |
| Question 20 | 84% |
| Question 21 | 88% |
| Question 22 | 90% |
| Question 23 | 89% |
| Question 24 | 82% |
| Question 25 | 74% |
| Question 26 | 92% |
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.