BSc (Hons) Robotics with Professional Placement 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 and engage with 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 digital artefacts with digital game technologies 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 ideas for future projects. Develop project management skills while building a professional, inclusive and supportive studio culture.

Learn the fundamentals of the data science life cycle including formulating questions, collecting and cleaning data, exploring and visualising data, making statistical inferences and predictions, and reporting insights. Gain awareness of the responsibilities, obligations and legalities of working with sensitive and personal data.

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

Introduce 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. Develop 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. Work in teams to design and demonstrate a combinational or sequential logic solution.

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

Learn key mathematic principles, such as linear algebra, geometry, trigonometry, 3D transformation and calculus that underpins computing. Apply these principles to your own technical working practices. Explore the relationship between computational mathematics and cybersecurity, including common threats and attack vectors, cryptography and steganography, certification and malware. Learn to programme defensively.

Develop your 3D CAD skills through the production of digital prototypes using CNC milling and 3D printing technologies. Explore the evolution of 3D CAD software as a collaborative designing tool for remote teams. Practice new skills working with cloud-based data and simulation technologies.

Develop practical skills in robotics and embedded systems by building a simple robot from a kit of parts using principles from cybernetics and autonomous robotics. Learn advanced electronics theory and design techniques, develop embedded software programming skills and implement different behaviours based on sensor readings and actuator control. Explore how artificial intelligence is applied in robotics and examine the role of ethics in self-regulating cybernetic systems.

Practice and develop your computing skills with a focus on the design and analysis of algorithms. Explore strategies for creating efficient and optimised code; learn 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.

Apply critical thinking, creative problem solving, simulation techniques and rapid prototyping methods to an industry-led challenge. Carry out initial research based on the requirements of the brief and propose a potential solution articulated through visualisations created using computer aided design (CAD) and simulation tools. Build a robot prototype involving consideration of the sustainability of materials and supply chains. Demonstrate awareness of the ethics of automated systems with speci

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.

Plan and commence an individual 'major' research and development project in computing. Conduct primary research centred on or supported by a novel computing artefact, or practice-based research with significant technical depth. Develop a written proposal identifying an opportunity, critically reviewing relevant literature, setting a hypothesis and designing a mode of data collection, while considering all ethical implications, as well as prototyping a novel and substantial computing artefact.

Focusing on employability, develop a commercial awareness and entrepreneurial mindset. Explore career options, including researching the skills required to set up your own business, establish yourself as a freelancer, or for use as an employee in a business or organisation. Devise a group project proposal around enterprise opportunities. Consolidate practical learning through critical reflection as you develop the ability to translate skills for an external challenge-led context.

Develop hardware design and software engineering skills with particular attention to usability and interaction quality. Research the core principles of human-robot interaction, applying them to the design and prototyping of social robots based on systems of microcontrollers, sensors and actuators. Use them to explore different methods of interaction with an audience.

Continue your individual 'major' research and development project. Further develop your prototype computing artefact into a potentially deployable solution. Deepen your knowledge of software engineering, the use of advanced research tools, technical writing and academic conventions, as well as the interpretation and visualisation of results from statistical analyses of quantitative data. Realise a novel and substantial computing artefact; execute your research and development; and critically ana

Leverage your experiences from prior stages of the course to deliver a substantial collaborative project. Work in a multi-skilled team to design and implement a potentially innovative product or service. Typically continue your previous project, but could also be a newly proposed project that satisfies a real need, a response to a market opportunity identified by the University, a live brief from or collaboration with industry partners or research teams, or a solution to a problem presented by a