100% Online MSc Computer Science with Data Analytics

Gain a comprehensive understanding of computer networks, covering both theoretical concepts and practical implementation aspects and explore the fundamentals of networking protocols, network architectures, and various technologies used in modern computer networks.

Gain an in-depth understanding of operating system concepts, principles, and functionalities. You will delve into both theoretical foundations and practical applications, focusing on contemporary operating system architectures and their roles in managing hardware resources, enabling user interaction, and supporting software applications. 

Acquire a thorough grasp of software development principles, methodologies, and procedures. This module spans both theoretical foundations and hands-on implementation, with a focus on the software development lifecycle, agile methodologies, coding, debugging, and testing best practices.

Develop a comprehensive understanding of database systems and their significance in various applications. You will explore both theoretical concepts and practical implementation, focusing on the relational model and the use of SQL.

Equip yourself with a comprehensive understanding of contemporary web development principles and practices. You will explore a diverse range of topics essential for crafting interactive and responsive web applications. Through a blend of theoretical exploration and hands-on implementation, you will learn the foundational technologies, frameworks, and best practices prevalent in modern web development.

Explore the critical domain of software testing, which serves as an essential pillar in ensuring the robustness, reliability, and functionality of software applications. You will develop a deep understanding of the integral role that testing plays throughout the software development lifecycle (SDLC). You will explore the strategic application of testing to detect and mitigate errors, thereby enhancing software quality and meeting user expectations.

Develop your understanding of data structures and algorithms, essential components of computer science. You will explore various data structures such as arrays, linked lists, stacks, queues, trees, and graphs, along with algorithms for searching, sorting, and graph traversal. The module emphasises both theoretical concepts and practical implementation, preparing you to design efficient algorithms and use appropriate data structures to solve computational problems.

Gain a comprehensive understanding of artificial intelligence (AI) principles, techniques, and applications. You will deep dive into AI, covering both theoretical foundations and practical implementation aspects, and explore a wide range of topics, including problem-solving methods, knowledge representation, reasoning, intelligent agent design, and ethical considerations in AI development and deployment.

Explore machine learning techniques and their applications in various domains. You will gain an in-depth understanding of theoretical concepts and practical implementation, focusing on supervised, unsupervised, and reinforcement learning fundamentals.

Develop a robust foundation in statistical methods and learn their practical applications across various domains. In an increasingly data-driven world, the ability to analyse and interpret data accurately is essential for informed decision-making and problem-solving. You will explore statistical principles, techniques, and tools, focusing on developing your analytical skills and statistical literacy.

Gain an in-depth knowledge of data mining techniques, methodologies, and applications in various domains. Data mining plays a pivotal role in extracting valuable insights, patterns, and knowledge from large datasets, driving informed decision-making, and facilitating innovation across industries. You will learn both the theoretical foundations and practical implementation aspects of data mining, equipping you with the skills necessary to tackle real-world data analysis challenges.

Immerse yourself in the dynamic and crucial field of visual representation of data. In an era dominated by data, effectively communicating insights, patterns, and trends through compelling visualisations is paramount. You’ll gain an in-depth understanding of data visualisation techniques' theoretical foundations and practical applications across various domains.