MSc Computer Science with Data Analytics
Program start date | Application deadline |
2025-06-10 | - |
2025-08-19 | - |
2025-10-14 | - |
2025-12-23 | - |
2026-02-17 | - |
2026-04-14 | - |
Program Overview
MSc Computer Science with Data Analytics
Programme Overview
St Mary's University London's 100% online MSc Computer Science with Data Analytics is designed for individuals looking to augment their expertise at the nexus of computer science and data analytics. This programme will develop advanced skills in programming, algorithmic design, data manipulation, and the development of data-driven systems, preparing students to thrive in today's rapidly evolving technological landscape.
Programme Modules
- Computer Networks: Gain a comprehensive understanding of computer networks, covering both theoretical concepts and practical implementation aspects. Explore the fundamentals of networking protocols, network architectures, and various technologies used in modern computer networks. (£645)
- Operating Systems: Gain an in-depth understanding of operating system concepts, principles, and functionalities. 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. (£645)
- 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. (£645)
- Database Systems: Develop a comprehensive understanding of database systems and their significance in various applications. Explore both theoretical concepts and practical implementation, focusing on the relational model and the use of SQL. (£645)
- Web Technologies: Equip yourself with a comprehensive understanding of contemporary web development principles and practices. Explore a diverse range of topics essential for crafting interactive and responsive web applications. Through a blend of theoretical exploration and hands-on implementation, learn the foundational technologies, frameworks, and best practices prevalent in modern web development. (£645)
- 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. Develop a deep understanding of the integral role that testing plays throughout the software development lifecycle (SDLC). Explore the strategic application of testing to detect and mitigate errors, thereby enhancing software quality and meeting user expectations. (£645)
- Data Structures and Algorithms: Develop your understanding of data structures and algorithms, essential components of computer science. 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. (£645)
- Artificial Intelligence: Gain a comprehensive understanding of artificial intelligence (AI) principles, techniques, and applications. 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. (£645)
- Machine Learning: Explore machine learning techniques and their applications in various domains. Gain an in-depth understanding of theoretical concepts and practical implementation, focusing on supervised, unsupervised, and reinforcement learning fundamentals. (£645)
- 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. Explore statistical principles, techniques, and tools, focusing on developing your analytical skills and statistical literacy. (£645)
- 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. 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. (£645)
- 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. Gain an in-depth understanding of data visualisation techniques' theoretical foundations and practical applications across various domains. (£645)
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.
Tuition Fees
- Total fees: £7,740
- Per 15-credit module fees: £645
Programme Duration
Complete within 24 months
Next Start and Application Due Date
- Apply by: 10 Jun 2025
- Start on: 23 Jun 2025
Career Opportunities
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
Programme Benefits
- 100% online part-time learning
- Flexible study schedule
- Affordable fees (pay per module)
- Strong career outcomes (98% of graduates in employment, vocation, or further study within 15 months of graduation)
- Top 10 in UK for student experience (Sunday Times Good University Guide 2024)
- Top 5 in UK for teaching quality (Sunday Times Good University Guide 2024)
St Mary's University Twickenham London
Overview:
St Mary's University Twickenham London is a university located in London, known for its strong student experience and high teaching quality. It consistently ranks highly in national university guides for student experience, teaching quality, and location.
Student Life and Campus Experience:
St Mary's University is celebrated for its student experience. The university offers a vibrant campus life and opportunities to enhance career prospects.
Key Reasons to Study There:
Top Teaching Quality:
Ranked in the top 5 for teaching quality in the UK (The Sunday Times Good University Guide, 2024).Exceptional Student Experience:
Ranked in the top 10 for student experience in the UK (The Sunday Times Good University Guide, 2024).Safe Location:
Ranked among the safest universities in England and Wales (Complete University Guide, 2023).High Employability:
98% of graduates are in employment, vocation, or further study within 15 months of graduation (HESA, 2023).Other:
St Mary's University is currently accepting applications through Clearing.