BSc (Hons) Computing and Digital Technologies Bachelor's degree at Roehampton University

This module introduces Computer Science as a professional and academic discipline. You will learn the fundamentals of computer systems and networks and gain practical skills that will be essential for your future in academia and industry. You will develop and apply your knowledge and skills through a series of practical 'challenges'. Through guided activities, you will be able to recognise and understand the building blocks of the computer-based systems that are prevalent today. Practical skills

Assessment: This module will be assessed by a knowledge-based in-class test (40%) and a journal/reflection, either written or audio/visual presentation (60%).

Software development and programming form the foundation of all Computer Science studies, from web development to artificial intelligence. This module introduces you to the main concepts of computational thinking and their translation into the fundamentals of programming. You will learn to create pseudocode and Python programs while exploring how programming languages provide essential resources such as documentation, libraries, integrated development environments (IDEs), and debugging tools.

Assessment: This module will be assessed by a computational problem-solving portfolio (60%) and a live programming challenge with code review (40%).

This module introduces you to foundational tools and processes required to develop software applications aimed at specific users. You will cover the basics of designing user interfaces, creating web pages, understanding databases, and linking 'frontend' and 'backend' code. You will have the opportunity to apply your knowledge from software development to real-world problems and consider the needs of users and stakeholders.

Assessment: This module will be assessed by coursework (40%) and web application (60%).

This module introduces you to the mathematical and algorithmic foundations that power Computer Science. You will explore how mathematical reasoning shapes the way computers solve problems, learning to express real-world challenges in precise, logical, and computable forms. Through an engaging mix of lectures, seminars, and practical labs, you will build confidence in key areas such as logic, set theory, proof techniques, and discrete mathematical structures.

Assessment: This module will be assessed by an in-class test (50%) and a algorithm design project (50%).

This module builds upon foundational computing knowledge to develop technical competencies in networks and operating systems. You will gain understanding of the infrastructure that underpins modern digital environments, cloud services, and enterprise IT operations. The module emphasises both theoretical principles and practical implementation skills essential for professional IT practice.

Assessment: This module will be assessed by laboratory-based coursework (60%) and a team-based network and systems integration project (40%).

This module incorporates concepts of desirability, empathy and affect to arrive at impactful user experience design for both design and games applications. This module blends user interface design with gamification approaches to result in intuitive, immediate user experience approaches for diverse customer bases. Working with real-time engines, 2D graphic user interfaces and 3D user environments, this module blends usability and interaction design with systems integration, game design and seamle

Assessment: This module will be assessed by a portfolio comprising of a series of creative and technical briefs completed through the module (100%).

This professional practice-focused module gives you the opportunity to use and enhance your programming skills while experiencing how complex software projects are developed and managed in industry. In this module, you will work in a group throughout the term to create a full-stack web application using industry-standard Agile development methodology and modern project management techniques.