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The Final Year Project provides the opportunity to tackle a substantial engineering challenge from concept through to completion. Working independently under the guidance of an academic supervisor—and, where appropriate, an industrial sponsor—you will integrate the knowledge, skills and experience gained throughout your programme to develop an innovative engineering solution.

Over two semesters, you will plan, design, model, prototype, test and evaluate your project using analytical, computational, experimental or manufacturing techniques appropriate to your chosen topic. Alongside the technical aspects of the project, you will consider the broader responsibilities of professional engineers, including sustainability, ethics, environmental impact, legislation, commercial viability and the societal context of your work. Throughout the project, you will strengthen your project management, decision-making and communication skills through regular meetings, technical reports and professional presentations.

By the end of the module, you will have demonstrated your ability to deliver a complex engineering project independently, applying professional judgement and technical expertise to solve an authentic engineering problem. The project provides an ideal preparation for graduate engineering careers, innovation-focused roles and postgraduate study.

This final year project (FYP) enables you to integrate the knowledge obtained in the programme and apply it to an engineering design problem that spans over two semesters. The ideas are developed through detailed design, experimentation, computer modelling and/or manufacture. You will also consider and manage wider aspects such as the (a) social, (b) economic, (c) political, (d) legislative, (e) environmental, (f) cultural, (g) ethical (h) and sustainability issues related to the subject matter of the project.

You will meet regularly with your supervisor and any external sponsor, plan your project, present your work through meetings with your supervisor and sponsor and also prepare and submit reports and oral presentations. You will consolidate your project management skills. At all times you will monitor your progress to ensure you are achieving the objectives set and ensuring quality of output.

To provide an opportunity to undertake a sustained piece of individually researched academic study. Inter alia this provides a context within which research skills may be developed and demonstrated.

To provide an opportunity to undertake a sustained piece of individually researched academic study. Inter alia this provides a context within which research skills may be developed and demonstrated.

To provide an opportunity to undertake a sustained piece of individually researched academic study. Inter alia this provides a context within which research skills may be developed and demonstrated.

To provide an opportunity to undertake a sustained piece of individually researched academic study. Inter alia this provides a context within which research skills may be developed and demonstrated.

Finance with Python is a critical module for you to learn computer programming and perform financial data analysis. This module covers the use of Python in finance, including financial data analysis and statistical modelling, which includes an introduction to Python programming language, libraries, and tools commonly used in finance, such as NumPy, Pandas, Matplotlib, Jupyter Notebook and Google Colab. Lectures are followed by in-depth practical examples using tools that show real-world implications.

Finance with Python is a critical module for you to learn computer programming and perform financial data analysis. This module covers the use of Python in finance, including financial data analysis and statistical modelling, which includes an introduction to Python programming language, libraries, and tools commonly used in finance, such as NumPy, Pandas, Matplotlib, Jupyter Notebook and Google Colab. Lectures are followed by in-depth practical examples using tools that show real-world implications.

Finance with Python is a critical module for you to learn computer programming and perform financial data analysis. This module covers the use of Python in finance, including financial data analysis and statistical modelling, which includes an introduction to Python programming language, libraries, and tools commonly used in finance, such as NumPy, Pandas, Matplotlib, Jupyter Notebook and Google Colab. Lectures are followed by in-depth practical examples using tools that show real-world implications.

• Introduction.
• Conceptualising Financial Statements.
• Introduction to Double Entry & Accounting Equation & Trial Balance.
• Adjustments: Accruals, Prepayments & Bad Debt.
• Assets, Inventory, Depreciation and Disposal.
• Sources of finance and Capital Structure.
• Interpretation of accounts and the Business Model.