
MEng Engineering
University of Cambridge
Pembroke College · 2023–2027
General Engineering → Aerospace, Mechanical & Information Engineering
Part IA
Foundations
CoursesMechanicsMechanical VibrationsThermofluid MechanicsStructuresMaterialsPhysical Principles of Electronics & ElectromagneticsAnalysis of Circuits & DevicesDigital Circuits & Information ProcessingMathematicsComputing
CourseworkDimensional AnalysisComputer-Aided DesignEngineering DrawingDesign ChallengeExpositionMicroprocessor LabThe Engineer in Society
Skills DevelopedBuilt and solved mathematical models of physical systems, analysed mechanical and fluid behaviour, and used Python for engineering computation. Developed practical CAD, technical drawing, digital electronics and microcontroller experience, alongside structured engineering design and technical communication.
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Part IB
Systems & Analysis
CoursesMechanicsStructuresMaterialsThermofluid MechanicsAnalysis of Circuits & DevicesElectrical PowerElectromagnetic Fields & WavesLinear Systems & ControlCommunicationsFourier Transforms & Signal and Data AnalysisVector CalculusLinear AlgebraProbability
Selected TopicsManufacturing & ManagementCivil & Structural Engineering
CourseworkSustainable Engineering
Skills DevelopedDeveloped stronger system-level analysis across mechanics, electronics, control and communications. Worked with feedback systems, Fourier methods, probability, linear algebra and engineering data, while becoming more comfortable translating between physical systems, mathematical models and computational solutions.
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Part IIA
Aerospace, Control & Computation
CoursesFluid Mechanics IFluid Mechanics IIDynamicsVibrationSignals & SystemsSystems & ControlMathematical MethodsMarketing
Marketing — market analysis · product positioning · pricing · customer value
Skills DevelopedBuilt more specialised models across aerodynamics, dynamics and control. Worked with panel and boundary-layer methods, numerical fluid modelling, state-space systems, signal processing, feedback control, optimisation and stochastic methods, with greater emphasis on validating computational models rather than simply implementing them.
Beyond Coursework
Pembroke College
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