100% Online MSc Computer Science with Artificial Intelligence

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.

Gain a comprehensive understanding of Natural Language Processing (NLP) techniques and their applications. NLP is a subfield of artificial intelligence focused on the interaction between computers and human language. You will examine both theoretical foundations and practical implementation of NLP algorithms and models.

Explore computer vision principles, techniques, and applications. Computer vision is a rapidly evolving field that enables machines to interpret and understand visual information from the world around them. From image processing algorithms to advanced deep learning models, computer vision plays a crucial role in various domains including robotics, healthcare, autonomous vehicles, augmented reality, and surveillance systems.

Acquire in-depth knowledge of the principles, methodologies, and applications of deep learning in modern computing. Deep learning, a subset of machine learning, has emerged as a powerful tool for solving complex problems in various domains such as computer vision, natural language processing, and autonomous systems. You will delve into both the theoretical underpinnings and practical aspects of deep neural networks, enabling you to develop a profound understanding of how these models work and can be effectively applied.