BSc (Hons) Computer Science Bachelor's degree at the University of Suffolk

Provides knowledge and understanding of the principles of computer systems, hardware components, the essence of operating systems, and relevant computing-related mathematics. Provides foundational underpinning to enable progression into the disciplines of computing and networking and a grasp of the history of computing, recent developments, and its possible future.

Introduces the core principles of networking alongside basic cyber security concepts. Develops the skills necessary to configure, manage, and secure networks. Engages with hands-on learning tools such as Packet Tracer and other network simulators to build and protect simple networks.

Introduces the concepts of web design, with a focus on designing responsive websites that are targeted at mobile platforms. Introduces HTML, CSS and JavaScript. Uses a series of case studies to analyse the design and layout of a range of existing sites using a number of common analysis techniques.

Introduces the concepts and a modern programming language. Covers structured programming constructs, procedural programming, and object-oriented programming, as well as elements of agile development.

Introduces the artificial intelligence (AI) and data science fields, covering the history of the AI discipline, exploring a variety of "classical AI" and data science-related topics, and the application of Python to solve data problems. Covers key elements of Python programming and the appropriate use of a wide range of Python packages and libraries.

Recognises that modern software engineers must acquire skills in software design, software implementation, software testing and the production of documentation suitable for end-users. Covers advanced software engineering topics, such as critical software, secure software, formal methods, and project management.

Provides essential knowledge and appreciation of the role of database systems, including basic principles and practice of design, implementation and development for both system designers and software engineers. Promotes the notion of a database as a model of an enterprise through the development of database solutions to 'real-world' problems.

Develops the student's knowledge, understanding and programming abilities regarding data structures and algorithms, which are fundamental to building software. Allows learning and programming in other programming paradigms.

Level four module where students will learn how to develop functional, server-side web applications while advancing their understanding of front-end technologies. Begins by teaching advanced concepts of HTML, CSS, and JavaScript before focusing on server-side technologies, including server-side object-oriented programming (OOPHP), web server infrastructure, and web security.

Offers a comprehensive approach to understanding and implementing security testing in the context of modern cybersecurity challenges. Combines technical penetration testing skills with understanding human factors and system thinking. Teaches evaluation of systems from both a technical and socio-technical perspective.

Provides a comprehensive exploration of both supervised and unsupervised learning techniques, along with an introduction to the basics of deep learning. Equips students with a thorough understanding of foundational techniques and enables them to apply advanced machine-learning methods to solve complex practical problems.

Provides a comprehensive understanding of the principles and practices involved in designing and managing information systems. Integrates theoretical knowledge with practical applications. Key areas covered include database management, systems analysis and design, data analytics, and information security. Explores cloud computing, big data, and artificial intelligence.

Provides an opportunity to explore several areas of artificial intelligence and data science in greater depth. Includes understanding the domain theory and intuition behind different algorithms, typical problems faced in the domain and how these might be solved.

Intended to provide students with an understanding of development for mobile devices with a focus on the constraints of mobile hardware, including interface and networking. Students will learn to integrate input from hardware sensors and work with networked data and services.

Explores the interconnected world of modern computing. For web developers, means understanding how to build scalable web applications that leverage cloud infrastructure for high availability and performance. For cybersecurity students, means securing distributed systems, ensuring data integrity, and protecting against distributed denial-of-service (DDoS) attacks. For data science and AI students, means harnessing the power of distributed computing for large-scale data processing and machine lear

Provides the opportunity for students to apply and develop some of the knowledge and skills acquired in their degree by engaging in a significant project in a specialist area of computing, typically software or networks. Enables and requires students to utilise practical, intellectual and decision-making skills in novel situations and develop their autonomy and self-direction.