MSc Computer Science with Artificial Intelligence

Degree Programmes


100% Online MSc Computer Science with Artificial Intelligence

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  • Total fees : £7,740
  • Per 15-credit module fees : £645

Complete within 24 months

Why choose St Mary's University?

Why choose St Mary's University

Teaching excellence

Top 10 in UK for student experience (Sunday Times Good University Guide 2024)

Strong career outcomes

98% of graduates in employment, vocation or further study within 15 months of graduation (HESA 2023)

A quality learning experience

Top 5 in UK for teaching quality (Sunday Times Good University Guide 2024)

Fully flexible study

100% online part-time learning


Pay your fees per module, as you go

Career path

14 industry-focused MBA degrees and 5 MSc Computer Science programmes

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Shape the future of AI with St Marys’ 100% online MSc Computer Science with Artificial Intelligence

St Mary’s University London’s 100% online MSc Computer Science with Artificial Intelligence will advance your critical thinking, problem-solving skills, and technical proficiency in AI technologies. You will develop knowledge in programming, algorithm design, data analysis, and AI system development as well as delving into fundamental and advanced concepts in areas such as machine learning, natural language processing, computer vision, and deep learning equipping you with the expertise needed to excel in today's rapidly evolving technological landscape.

In our digital classroom, you’ll engage in hands-on learning experiences, working on practical assignments, projects, and assessments that will prepare you for careers in AI research, development, and application across various domains.

You’ll develop your capacity to: 

  • Understand both computer science fundamentals and artificial intelligence concepts, equipping you with a robust knowledge base essential for success in AI-related roles and industries.
  • Acquire proficiency in the practical application of artificial intelligence techniques, enabling you to effectively solve real-world problems and implement AI solutions across various domains and industries.
  • Develop advanced critical thinking, analytical skills, and problem-solving abilities specific to artificial intelligence, empowering you to tackle complex challenges and innovate AI-driven solutions in diverse technological contexts.
  • Encourage interdisciplinary collaboration and exploration within the realms of computer science and artificial intelligence, fostering the development of holistic AI solutions that address societal needs and leverage technological advancements.
  • Thrive in leadership roles and take on career advancement opportunities in the rapidly evolving field of artificial intelligence, providing you with the skills, knowledge, and confidence to lead AI initiatives, drive innovation, and contribute significantly to both industry and academia in AI-related domains.

And grow your career

St Marys' online MSc in Computer Science with Artificial Intelligence opens doors across the tech industry and beyond. With AI permeating virtually every sector, graduates are well-positioned to land roles such as machine learning engineers, data scientists, AI researchers and more.

With a programme designed for you

St Marys’ MSc Computer Science with Artificial Intelligence suits the working professional looking to enhance their understanding of AI fundamentals and cultivate hands-on skills in AI technologies. Studying fully online and at your own pace, you’ll have the flexibility to fit your learning in around important life commitments including work, family, and friends.

Programme Modules

Computer Networks

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.

Operating Systems

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. 

Software Development

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.

Database Systems

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.

Web Technologies

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.

Software Testing

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.

Data Structures and Algorithms

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.

Artificial Intelligence

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.

Machine Learning

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.

Natural Language Processing

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.

Computer Vision

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.

Deep Learning

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. 


Entry requirements

To study St Mary’s University's 100% online MSc Computer Science with Artificial Intelligence you will need to have completed:

  • An undergraduate degree at 2:2 (or higher), or
  • 3 years’ relevant work experience in a professional/managerial role

English language requirements

Applicants whose first language is not English, or most recent education or work experience was not in English will need to demonstrate proficiency by completing an approved English language test such as IELTS (6.0 overall with no individual sub-scores under 5.5), Pearson PTE (55 overall minimum), or equivalent.
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