Mechanical Engineering MEng

University of Warwick · honours · 4 years · optional placement year · optional year abroad · UCAS 8662course page ↗

A*AA at A level, Mathematics and Physics; graduates earn a median £34,500 three years on.

Typical A level offer
A*AA

Mathematics and Physics · 95% of entrants came with A levels · 97% 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

  1. 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 50 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
QualificationTypical offerRequired subjects
IB38 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 HighersAAAA in Advanced Highers in Mathematics and Physics plus AAA in Highers in three further subjects.—
Access45 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
    ES190 15 cr
  • 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
    ES191 15 cr
  • 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
    ES192 15 cr
  • 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
    ES193 15 cr
  • 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
    ES194 15 cr
  • 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
    ES195 15 cr
  • 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
    ES196 15 cr
  • 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
    ES197 15 cr
Year 2 · 7 core, 3 optional · 105 credits ≈ 1,050 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
    ES2C5 15 cr
  • 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
    ES2C6 15 cr
  • 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
    ES2C7 15 cr
  • 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
    ES2D2 15 cr
  • Planar Structures and Mechanisms
    What you learn (8)
    • determine position, velocity and acceleration in planar mechanisms
    • apply kinematic analysis to engineering planar mechanisms
    • analyse stiffness behaviour under general loading conditions
    • evaluate effects of dimensional scaling and material property ratios
    • apply stress and strain states and related failure criteria
    • assess material suitability against application criteria
    • explain how mechanism inertia generates shaking forces
    • calculate force balancing solutions for special mechanism cases
    ES2D5 15 cr
  • 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
    ES2G6 15 cr
  • Applied Thermodynamics
    What you learn (7)
    • analyse thermodynamic performance of various engine cycles
    • calculate outcomes related to fuel combustion processes
    • distinguish between different engine cycle types and their uses
    • analyse refrigeration and heat pump cycle performance
    • perform laboratory procedures following professional and scientific standards
    • apply mathematical methods to solve mechanical engineering problems
    • communicate engineering problem solutions clearly
    ES2H3 15 cr
3 optional modules
  • Engineering Reactors for Sustainable Processes
    What you learn (8)
    • formulate kinetic equations from stoichiometric relationships
    • solve kinetic equations for different reaction network types
    • derive quantitative descriptions of adsorption and desorption processes
    • relate adsorption and desorption behaviour to catalytic sustainability concepts
    • explain how residence time distribution affects reactor performance
    • select appropriate reactor models for real-life reactor problems
    • evaluate design constraints affecting sustainable chemical reactors
    • evaluate how model simplifications cause prediction errors
    ES2E4 15 cr · additional
  • 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
    ES2H8 15 cr · additional
  • Fundamentals of Manufacturing
    What you learn (9)
    • describe the operational fundamentals of key manufacturing processes
    • explain how manufacturing processes affect achievable shape, tolerances and accuracy
    • evaluate how material choice affects suitability of different manufacturing routes
    • apply computational tools to support manufacturing process decision-making
    • identify process parameters that cause variation in product characteristics
    • analyse current literature and trends relating to manufacturing design innovation
    • describe health and safety requirements associated with manufacturing technology
    • interpret materials datasheets to inform manufacturing decisions
    • explain the role of standardisation and regulation in manufacturing processes
    ES2J7 15 cr · additional
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
    ES327 30 cr
  • 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
    ES3C2 15 cr
  • 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
    ES3D6 15 cr
  • Finite Element Methods
    What you learn (9)
    • evaluate the relevance of finite element methods to engineering design practice
    • explain the theoretical basis of finite element methods for linear elastic analysis
    • describe the assumptions underlying small displacement structural analysis
    • construct finite element models for non-linear structural analysis independently
    • assess engineering problems using commercial finite element software
    • develop finite element models independently to represent engineering problems
    • interpret numerical results obtained from finite element simulations
    • present engineering analyses through written and graphical formats
    • design model constraints that support practical finite element modelling
    ES3E5 15 cr
  • ES3J9 15 cr
  • ES3K4 15 cr
2 optional modules
  • ES3J3 15 cr · additional
  • ES3J8 15 cr · additional
Year 4 · 5 core, 3 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
    ES410 30 cr
  • Computational Fluid Dynamics
    What you learn (10)
    • evaluate advanced numerical algorithms used in commercial cfd software
    • interpret results produced by advanced cfd numerical algorithms
    • compare how algorithm assumptions affect solution speed and accuracy
    • explain the capabilities and limitations of cfd within engineering design
    • apply numerical pde theory to model fluid flow problems
    • validate numerical fluid flow solutions against expected behaviour
    • use commercial cfd software to solve complex fluid engineering problems
    • optimise design parameters using cfd simulation outputs
    • apply computational techniques and manual calculations to analyse cfd results
    • apply cfd analysis outcomes to inform engineering design decisions
    ES440 15 cr
  • Heat Transfer Theory and Design
    What you learn (7)
    • apply knowledge of fundamental heat transfer mechanisms to solve problems
    • examine the role of numerical methods in developing heat transfer designs
    • evaluate the usefulness of common commercial simulation software
    • calculate heat transfer rates using non-dimensional correlations
    • evaluate heat transfer rates using analytical or numerical techniques
    • model real-world processes independently to estimate approximate solutions
    • evaluate trade-offs between performance and cost in equipment design optimisation
    ES4D9 15 cr
  • Renewable Energy
    What you learn (9)
    • explain scientific concepts underlying renewable energy technologies
    • apply scientific principles to resolve renewable energy problems
    • evaluate design methodologies used for renewable energy systems
    • apply established design processes to new renewable energy scenarios
    • apply mathematical models independently to solve renewable energy problems
    • critique the validity and limitations of mathematical models
    • formulate hypotheses on the applicability of modelling approaches
    • discuss current practice and constraints in renewable energy technology
    • describe emerging advances in renewable energy technology
    ES4E0 15 cr
  • Dynamics of 3D Mechanical Systems
    What you learn (7)
    • analyse spatial mechanisms using advanced kinematic methods
    • determine motion resulting from applied driving forces in 3D systems
    • calculate driving forces required to achieve a specified motion
    • design a mechanical system to satisfy a target specification
    • simulate a mechanical system's dynamic behaviour
    • evaluate system performance metrics accounting for uncertainty
    • evaluate applications of advanced dynamical systems such as gyroscopes and robotics
    ES4G3 15 cr
3 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
    ES438 15 cr · additional
  • 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
    ES4A1 15 cr · additional
  • 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
    ES4A8 15 cr · additional
Year not stated · 0 core, 1 optional
1 optional module
  • 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
    ES97G 15 cr · additional

“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?

£34,500median pay three years after graduating
Lower quarter£30k
Median£35k
Upper quarter£41k

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 145 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 £30,000 and £41,000. Five years on, the median is £44,500. 95% were in work or further study 15 months after finishing; 90% of those in work were in professional or managerial jobs.

All outcome figures7
MeasureValueBased on
Continue after year 13% left97%60
In work or study, 15 months on10% studying95%45
Professional or managerial job90%35
Pay 15 months on, median£35,00035
Pay 3 years on, median£34,500145
Pay 5 years on, median£44,500145
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?

93%agreed the course was good overall (question 26)

NSS — a yearly survey of final-year students at every UK university; 67% of this course’s final year answered. Small groups can swing a lot year to year.

National Student Survey, via Discover Uni · 55 students answered

Highest: 93% agreed on question 19; lowest: 43% on question 14.

All questions26
QuestionAgree
Question 191%
Question 277%
Question 386%
Question 488%
Question 582%
Question 689%
Question 770%
Question 879%
Question 982%
Question 1048%
Question 1157%
Question 1286%
Question 1380%
Question 1443%
Question 1589%
Question 1691%
Question 1786%
Question 1884%
Question 1993%
Question 2088%
Question 2189%
Question 2288%
Question 2385%
Question 2470%
Question 2565%
Question 2693%

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.