BSc (Hons) Computer Science (Software Engineering) Bachelor's degree at Keele University

Introduces aspects of professionalism and ethics, communication, teamworking, and writing styles; useful transferable skills in science and engineering. Provides guidance on enhancing employability skills and advice on working in teams. Includes workshop activities and involvement with careers and library via guest lectures.

Introduces core mathematical and algorithmic principles that underpin Computer Science. Students learn to work with abstract data structures such as sets, relations, functions, and graphs, apply basic statistical techniques, and develop algorithmic thinking. Explores theoretical limits and complexity of computation.

First part introduces fundamental concepts of computer programming using Python with strong practical element. Second part teaches modern programming practices in a different paradigm and introduces Java programming language. Covers testing strategies and intermediate Java programming syntax.

Covers fundamental concepts of computer hardware and software with foundation for other computer science modules. Provides overview of computer systems, logic design for core hardware components, operating systems architecture, programming languages, computing applications, and computational principles like parallelism and caching.

Enables students to actively engage in the digital environment with understanding of risks and countermeasures. Helps students acquire understanding of technologies that underpin today's digital information society.

Provides comprehensive introduction to web technologies and databases, equipping students with practical and analytical skills to design, develop, secure, and deploy modern web applications with robust data-driven backends.

Integrates principles and practices from software engineering and human-computer interaction to explore processes involved in designing, developing, and evaluating interactive software systems. Combines agile software development methodologies with user-centred design techniques, addressing technical functionality and usability requirements.

Introduces cloud technologies and distributed computing focusing on principles and practical applications. Explores big data technologies like Hadoop and NoSQL databases, and cloud platforms such as Amazon Web Services. Develops skills in digital communication principles, cloud and network security and compliance.

Provides introduction to artificial intelligence including neural networks, deep learning, evolutionary algorithms and neuroevolution. Focuses on understanding underlying principles, structures, algorithms and capabilities of AI systems, and writing programs using appropriate machine learning software libraries for tasks such as text analysis, data analytics, visualisation, computer vision, image processing and pattern recognition.

Opportunity to pursue a personal interest in Software Engineering, learning and applying programming and technical skills that complement and extend those taught within the curriculum, under guidance from a staff member.

Provides introduction to computer graphics and animation with appropriate programming and media development skills to design and develop animated media. Investigates topics through lectures, practicals and independent study. Provides skills relevant to 2D and 3D computer graphics and animation with relevance to careers in animation, games and digital media production.

Enables students to integrate and apply theoretical knowledge and problem-solving skills to a relatively large or complex technical, software, programming, research or business problem within the Software Engineering discipline.

Provides deeper understanding of object-oriented programming and concurrent programming using Java. Covers advanced design patterns applicable to real-world application areas, software development management and associated processes, quality management, Test-Driven development, and industry-relevant skills.

Explores how artificial intelligence is transforming software design, build, and maintenance. Students experiment with modern AI development tools, learn to combine human creativity with intelligent automation, and critically assess opportunities and risks. Includes hands-on projects and future-focused design activities to develop skills with AI-assisted workflows.

Gives students interested in pursuing teaching or training as a career the opportunity to gain experience in schools, colleges and other educational settings. Develops communication and interpersonal skills whilst learning to address individual needs and developing engaging teaching materials. Supported via range of activities with choice to source own placement or apply to university sourced roles.

Provides advanced understanding of database techniques and contemporary issues in deploying modern database systems. Equips students with knowledge and skills to develop secure, distributed, multi-tier web applications using current and emerging technologies. Focuses on practical competencies for professional web development and database-driven application design.

Covers legal, organisational, human, and technical aspects of security. Provides knowledge and practical skills to meet cybersecurity challenges with confidence. Students gain experience with modern tools and techniques and develop critical thinking, communication, and reflective skills valued by employers.

Independently investigate an advanced topic in Software Engineering, applying programming and technical skills to design and implement a solution or demonstration that extends knowledge beyond the taught curriculum, under academic supervision.

Expands on artificial intelligence themes introduced earlier in the degree, exploring in greater depth selected research-led topics at the forefront of current thinking in AI. Provides insights and understanding of fundamental issues relevant to data ethics, security and AI governance. Students acquire practical data science and machine learning skills.

Allows students to gain hands-on experience via a 75-hour placement, enhancing employability and providing valuable professional insights. Students are supported by various activities to secure a role and can source their own placement or apply to university-sourced roles. Offers flexibility on when and how placement is completed.