MSc Computer Science with Data Analytics

Degree Programmes


100% Online MSc Computer Science with Data Analytics

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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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Transform data into decisions with St Marys’ 100% online MSc Computer Science with Data Analytics

St Mary's University London's 100% MSc Computer Science with Data Analytics is catered to individuals looking to augment their expertise at the nexus of computer science and data analytics. You will develop advanced skills in programming, algorithmic design, data manipulation, and the development of data-driven systems, preparing you to thrive in today's rapidly evolving technological landscape.

Throughout this programme, you will immerse yourself in a diverse array of topics pertinent to both computer science and data analytics and explore fundamental and advanced concepts, including data analysis, data visualisation, machine learning, and big data analytics. In our digital classroom, you'll engage in hands-on learning experiences, working on practical assignments, projects, and assessments aimed at honing critical thinking, problem-solving abilities, and technical proficiency in data analytics methodologies.

You’ll develop your capacity to: 

  • Foster advanced proficiency in data analytics methodologies through a structured curriculum encompassing fundamental and advanced concepts and develop a deep understanding of various data analytics methodologies.
  • Cultivate hands-on technical skills in data manipulation and programming emphasising practical learning experiences, with assignments, projects, and assessments honing your abilities in programming, algorithmic design, and data manipulation, enabling them to develop data-driven systems effectively.
  • Understand computer science principles and data analytics through diverse topics to prepare you to tackle complex challenges in today's technological landscape.
  • Make impactful contributions in various industries, equipping you with the knowledge and skills to leverage data-driven insights for informed decision-making and innovation across a range of industries and sectors, so you can make meaningful contributions to your organisation and society.
  • Advance your career and further academic pursuits in data analytics and computer science through a transformative educational journey. 

And grow your career

Data analytics is a fast-growing field and skilled graduates are in high demand across all sectors. The programme will equip you with valuable skills in a high-demand industry and prepare you for success in a variety of careers, such as Data Analytics Manager, Data Scientist, Data Analyst, Data Engineer and more.

With a programme designed for you

St Marys’ 100% online MSc in Computer Science with Data Analytics suits the working professional looking to advance their career and excel in a diverse array of data analytical roles. Enjoy having the flexibility needed to balance your learning with important life commitments, such as work, family, and friends, so you can achieve your career goals and reach your full potential with minimum disruption to your everyday life.

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.

Statistical Analysis

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.

Data Mining

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.

Data Visualisation

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.


Entry requirements

To study St Mary's University's 100% online MSc Computer Science with Data Analytics 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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