BSc (Hons) Computer Science Bachelor's degree at Wrexham University

This module introduces fundamental programming concepts using a contemporary programming language. Upon completion, you will understand programming's role, syntax, and logic within your subject area and apply fundamental techniques to solve contextual problems effectively.

This module provides a comprehensive understanding of computer systems and their architecture. It covers hardware, software, and their interactions, providing you with a strong foundation in computer architecture and the practical knowledge of system components and functionalities.

This module equips you with the knowledge, skills, and professional mindset to address complex information security challenges, ensure governance, and protect organisational information assets. It emphasises regulatory frameworks and their implementation through policies and procedures in a digital context.

This module introduces the computational and mathematical concepts essential for applications in computer science, software engineering, and cybersecurity. It emphasises the relevance of these concepts in computing and the broader digital industries, aiming to enhance both cognitive and practical skills related to the field of computing.

This module aims to provide you with a strong foundation in machine learning principles and techniques. By the end of this module, you will be equipped to apply supervised and unsupervised learning algorithms to real-world problems, evaluate the performance of different models, and recognise ethical considerations and potential biases involved in machine learning.

This module equips you with the knowledge and skills to design and implement efficient database schemas and structures using SQL, ensuring data integrity. Additionally, the module aims to develop proficiency in utilizing SQL techniques and features to perform queries, manipulate, and manage data from multiple tables, thereby enabling learners to effectively retrieve, manipulate, and manage data within a database.

This module offers essential industry-simulated experience, equipping you to manage tasks, challenges, and scenarios encountered in real-world, group-based digital projects. You will develop skills in organisation, communication, and coordination while focusing on the design, development, and implementation of a digital product aligned with professional methodologies and real-world contexts.

This module explores the concepts and practices essential for managing complex digital projects, emphasising the application of systems engineering principles. It provides a comprehensive understanding of systems engineering methodologies, principles, and processes, alongside advanced project management techniques required to effectively oversee the design, development, and implementation of digital solutions.

This module introduces the concepts, principles, and technologies underpinning cloud computing, distributed architectures, and security. You will explore the design principles and challenges of cloud and distributed systems, critically examine security risks and mitigation strategies, and investigate various cloud computing models and deployment approaches and develop practical skills in designing, implementing, and managing cloud-based and distributed systems to tackle real-world challenges.

This module provides a thorough understanding of data structures, including arrays, linked lists, stacks, queues, trees, graphs, and hash tables. You will explore key algorithmic techniques such as sorting, searching, graph traversal, and dynamic programming. The module emphasises comparing and selecting optimal algorithms based on efficiency and resource utilisation. Additionally, you will enhance your analytical skills by breaking complex problems into manageable sub-problems and designing eff

This module provides you with the knowledge and skills to apply and interpret core machine learning algorithms for regression, classification, clustering, and dimensionality reduction on complex datasets. You will learn to evaluate and optimise models using techniques such as cross-validation, regularisation, and feature selection. Additionally, the module offers hands-on experience in developing comprehensive machine learning pipelines, covering data pre-processing, feature engineering, model s

This module equips you with a deep understanding of software security fundamentals and its critical role in modern applications. You will identify risks and consequences of insecure development practices while familiarising yourself with industry-standard methodologies for secure software development. Key topics include secure coding practices, design principles, SDLC models, and security testing techniques such as penetration testing and vulnerability scanning. Additionally, the module covers t

The project module is designed to prepare you for the tasks and challenges that you may encounter in the workplace after your graduation. Its objectives are to equip you with the skills to independently plan, manage, and report on a substantial, long-term project; apply theoretical knowledge from taught modules to practical, real-world problems; and critically evaluate diverse and often conflicting information from manuals, books, and research journals. Additionally, the project offers an opport

This module provides a comprehensive understanding of cryptography and defensive systems, blending theoretical foundations with practical applications. You will explore core principles and techniques, including encryption algorithms, cryptographic protocols, and key management. Additionally, the module covers advanced defensive strategies to safeguard sensitive information and secure communication channels. By the end, you will possess the expertise to analyse cryptographic systems, identify vul

This module offers a comprehensive understanding of deep learning principles and applications. You will develop skills to design, implement, and optimise models for tasks such as image recognition, natural language processing, and reinforcement learning. Through hands-on projects, you will master advanced frameworks, tools, and best practices for data preprocessing, hyperparameter tuning, and debugging, enabling you to apply deep learning techniques to real-world challenges and communicate resul

This module equips you with a deep understanding of emerging technologies and their transformative impact on the field of computing. It examines cutting-edge innovations, their foundational principles, and real-world applications. You will develop the skills to critically evaluate and effectively apply these technologies in practical contexts. Additionally, the module fosters creativity and innovation, encouraging you to explore and experiment with novel technological solutions.

This module focuses on the principles of data collection, analysis, and visualisation, equipping you to become a skilled data analyst capable of identifying patterns and extracting insights from diverse data sources. You will explore advanced statistical methods and algorithms, gaining the ability to analyse, visualise, and present data in meaningful ways to unlock new insights. The module also addresses the legal, social, and ethical implications of data analysis and its applications. Through h