BSc (Hons) Software Engineering Bachelor's degree at Falmouth University

Learn the principles of computing, discrete mathematics, statistics and technical communication. Use core computer science concepts, techniques and methods to solve practical problems and leverage algorithms in your solutions. Explore the history of computing, engaging with the plurality of voices in the profession and controversies evoked by algorithmic bias.

Explore digital media formats including text, image and sound. Play, tinker, experiment with and extend digital artefacts. Integrate your digital artefacts with digital game technologies, notably game engines, to make them interactive. Consider moral and legal questions surrounding digital creativity, such as plagiarism, intellectual property law, licensing rights, representation and media literacy.

Gain foundational experience of the basic principles, terminology, roles and tools used in the development of digital products and services. Practice a range of prototyping methods through small-scale team projects and pitch your idea for a future project. Develop your project management skills, while building a professional, inclusive and supportive studio culture.

Learn the fundamentals of the data science life cycle. Learn how to formulate questions, collect and clean data, explore and visualise data, make statistical inferences and predictions, and report insights. Gain an awareness of the responsibilities, obligations and legalities of working with sensitive and personal data, including its collection, storage, analysis, management and transmission.

Refine your approach to computer programming by developing an architecturally sound project focused on object-orientated solutions. Build your confidence with various interfaces that enable interaction within and across different system components. Practice disciplined software engineering methodologies, develop your mastery of the notations for describing and refactoring system architectures, and apply the mathematics associated with circuit design. Gain a greater awareness of ethical considera

Introduces resource-efficient methods for designing robust, sustainable logic systems. Study digital electronics with a focus on low-level logic, covering fundamental gates and the principles behind hardware such as CPUs and GPUs. Practical workshops develop your ability to design, test and debug digital systems using standard logic ICs and programmable gate arrays, considering real-world constraints like timing and noise margins. Working in teams, design and demonstrate a combinational or seque

Assessment: Assessment focuses on your individual contribution throughout the module.

Practice and develop your computing skills with a focus on the design and analysis of algorithms. Explore strategies for creating efficient and optimised code; learning to apply methods of profiling and resource management. Consider sustainability as a theme for your optimisations, with attention to maximising the use and/or extending the lifecycle of hardware that is difficult to recycle, to reduce (notional) energy usage and to better manage processes with environmental impacts.

Learn key mathematic principles that underpin computing, such as linear algebra, geometry, trigonometry, 3D transformation, and calculus. Apply these principles to your own technical work. Investigate the relationship between computational mathematics and cybersecurity. Explore security topics such as common threats and attack vectors, cryptography and steganography, certification and malware, as well as defensive programming.

Adopt a design thinking approach to software development. Focus on conveying your design ideas using modelling languages, and evaluating your designs through different lenses, for example, information, behaviour, structure, domain, function, and enterprise modelling. Compare your designs using relevant analytic techniques and consider the different architectures that software can follow. Investigate the merits and flaws of different approaches to structuring software systems. Deepen your knowled

Explore the challenges and opportunities of artificial intelligence and machine learning techniques. Conduct a practical research and development project looking to address a specific brief or challenge. Think about the legal, social, ethical, professional and sustainability implications of AI technologies. Examine how artificial intelligence and machine learning may impact computer technology and your future career aspirations.

Explore strategies for planning, tracking, testing, and deploying codebases in a way that will continue to scale as the lifecycle progresses and investment increases. Adopt continuous integration and deployment alongside version control practices. Develop your knowledge of distributed systems, computer networks, server infrastructure, quality assurance, and the orchestration of non-trivial production processes. Be challenged to consider security as a theme to ensure that you adequately protect t

Explore the design, engineering, and operation of embedded computer systems with particular attention to real-time processing and interfacing with computer hardware. Consider the protocols and network technologies that facilitate system component distribution. Topics span: input/output; discretisation; analogue to digital conversion; timers; interrupts; pulse width modulation; control systems; serial communication; and higher level topics such as IoT implementation, TCP/IP, and mesh networks. Ex

Identify an opportunity to improve the software production process, devising a tool that will refine developer workflows. Contexts can vary, but could include utilities for development operations, standalone computer-aided software engineering (CASE) tools, debugging extensions for an integrated development environment (IDE), content pipeline automation utilities that leverage generative artificial intelligence, or similar. Explore contemporary software engineering practice, bringing a critical