- Flexible payment : Pay per module
- Next start date : Start immediately
- Fee per 15-credit module : £670
- Total credits : 180
Why CITY ST GEORGE'S
| Study with a University of London member who is: | |
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Top 40 in the UK and top 10 in London |
World Top 350 among the best universities |
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12th most competitive university in the UK |
5th best in London and 17th in UK for |
365 starts per year
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City St George's On-Demand online postgraduate programmes
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City St George's On-Demand online postgraduate programmes
I need to study ?
Self paced
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City St George's On-Demand online postgraduate programmes
during a module ?
Yes
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them up when ready
City St George's On-Demand online postgraduate programmes
Yes
You can take a break and start your studies
again when ready without having to wait
City St George's On-Demand online postgraduate programmes
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Yes
You can study in line with your budget,
taking each module as soon as you're able to pay for it.
City St George's On-Demand online postgraduate programmes
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Develop strong technical and analytical skills for careers in computer science, with the opportunity to apply them in business-focused contexts, with the 100% online MSc Computer Science with Business Analytics.
Technology is transforming how organisations operate, from data-driven decision-making to AI-powered systems, including applications within business such as predictive analytics and automated reporting. This rapid digital transformation is creating strong demand for professionals with computing and data skills across industries.
This programme combines a broad computer science curriculum with selected specialist modules in business analytics. You will study core topics including programming, artificial intelligence, cyber security, data analytics and software engineering. Alongside these, dedicated modules explore how data and digital systems are applied within business settings, from statistical analysis and machine learning to data visualisation and digital transformation.
By studying the 100% online MSc Computer Science with Business Analytics at City St George’s, University of London, you will develop practical programming, artificial intelligence, cyber security and data analytics skills alongside specialist knowledge of business analytics. Designed for graduates without a computing background, this programme provides a structured pathway into computer science careers, with the option to develop specialist knowledge in business data and decision-making.
City St George’s combines over 120 years of excellence in science and technology education with a strong employability focus. Delivered 100% online and part-time, this programme allows you to balance study with professional and personal commitments while building in-demand computing expertise. With 365 start dates each year, you can begin your studies at a time that suits you.
Why study this MSc Computer Science with Business Analytics with City St George’s?
We deliver professionally focused degrees that help students develop practical, career-ready expertise. Study with a university committed to your future success.
Career-focused digital upskilling
This MSc is designed for graduates looking to transition into computing or data-focused business roles. You will develop a strong foundation in computer science while building specialist knowledge in business data, analytics and digital decision-making.
World-class academic reputation
Our commitment to academic excellence, sustainability and graduate employability places City St George’s among the top 350 universities globally, top 40 in the UK, and top 10 in London (QS World University Rankings 2024).
Strong graduate employability outcomes
We focus on developing practical technical skills aligned with industry demand, helping to place us 5th in London and 17th in the UK for employment outcomes (QS World University Rankings 2024).
Flexible online study
Study fully online with asynchronous teaching, allowing you to learn at your own pace and balance study with professional and personal commitments.
Flexible career pathways
This programme supports both career changers entering the field of computer science and professionals in business or related sectors looking to build technical expertise and enhance their career progression opportunities.
Specialist business analytics focus
Alongside core computer science topics, you will explore business analytics, statistics and AI applications in business decision-making.
Flexible payment options
Spread the cost of your qualification by paying per module, helping to make postgraduate study more financially manageable.
What you’ll learn
This master’s programme develops a broad foundation in computer science while building specialist knowledge in business analytics.
You will develop your programming ability, computational thinking and problem-solving skills while gaining an understanding of how computer systems and software operate in real-world environments.
You will explore how technologies such as artificial intelligence, cyber security and data analytics can be applied to real-world challenges across industries, including business.
Through specialist modules, you will examine how business data is collected, analysed and used to support decision-making, while exploring how data visualisation, statistics and machine learning underpin data-driven approaches in business.
Develop the skills to build computing solutions, including in business analytics contexts
This programme is designed to equip you with knowledge and skills that can be applied across computing and business analytics careers.
- Core computer science knowledge: Develop and synthesise subject knowledge across programming, algorithms, software development and computer systems.
- Programming and software development: Apply programming skills across multiple paradigms including declarative, imperative and object-oriented programming.
- Artificial intelligence, cyber security and data analytics: Develop practical skills in key computing areas including AI, cyber security and data analytics, and apply them across different professional contexts including business.
- Business analytics expertise: Understand how digital technologies and data systems support business decision-making, planning and performance.
- Problem-solving and critical thinking: Formulate computing and programming problems and identify appropriate tools, techniques and approaches to solve them.
- Professional and ethical awareness: Evaluate the social, ethical and legal implications of digital technologies while applying professional standards in computing and business data environments.
Turn your skills into a high-impact digital career
This MSc prepares you for careers in computer science and technology-driven industries, with additional knowledge that can be applied in business and business-related sectors.
Depending on your interests and prior experience, you may pursue roles such as:
- Business Analyst (particularly within finance, retail or consultancy organisations)
- Data Analyst
- Software Developer
- AI or Machine Learning Specialist
- Cyber Security Analyst
- Digital Transformation Consultant (within organisations working at the intersection of business and technology)
The programme includes a strong core of computer science modules alongside specialist topics in business analytics.
Frequently asked questions
Yes. This MSc is designed for graduates from any discipline who want to develop computing and business analytics expertise. The first module builds essential programming foundations and assumes no prior technical experience.
This is a computer science degree with a component in business analytics. Most of the programme focuses on core computing skills, with selected modules exploring how these skills are applied within business and business data environments.
The programme is delivered 100% online with asynchronous teaching, allowing you to study flexibly from anywhere.
The maximum registration period is five years, providing flexibility depending on your study pace.
You will receive academic support from module tutors, access to discussion forums, formative feedback opportunities and careers guidance through the university’s careers services.
Yes. The programme is designed both for graduates looking to transition into computer science and for professionals working in business or related sectors who want to develop technical and data-driven skills.
Programme Modules
This foundation module underpins the complete MSc Computer Science programme and is designed for students who are inexperienced in computer programming. Explore procedural computer programming, data-structures, and algorithms, and learn how to solve problems using computer programmes.
Develop your knowledge of the theoretical and practical aspects of web technologies. Learn how to create web applications and about a wide range of technologies to develop an understanding of the web landscape with an emphasis on client-side technologies.
Building upon the programming knowledge and skills developed in Programming and Algorithms, this module introduces the concept of object-orientation and enables you to explore object-oriented programming via an object-oriented programming language. You will learn how to develop algorithms, and to solve problems using computer programs.
Explore how digital technologies and data are transforming business decision-making around the world. You will examine how business data is collected, managed and used to support strategic decision-making, performance analysis and service improvement. The module introduces key topics such as data visualisation, business intelligence tools and data-driven reporting. You will develop an understanding of how analytics supports more effective, evidence-based business decisions.
As an introduction to databases, you will learn to understand, explore, and build relational databases – the most common form in practice. You will also gain knowledge of non-relational databases, including the principal differences and use-cases compared to relational databases.
Develop your knowledge in the principles of Artificial Intelligence (AI) and the problems that are appropriate for AI solutions. Consider how knowledge can be represented, and how that knowledge can be manipulated and searched. You will also learn about artificial neural networks, which can learn from patterns in known data sets to perform tasks on unseen data.
The internet connects systems to systems and customers to systems. It can also connect criminals to systems, allowing them to steal or misuse valuable information. Learn about cyber security and the variety of techniques used to protect information systems against cybercrimes.
Develop the mathematical and statistical foundations needed to analyse business data. You will explore key statistical concepts, probability and quantitative methods used in business research and decision-making. The module focuses on applying statistical techniques to real-world business datasets. By the end of the module, you will be able to interpret data and understand how statistical evidence supports business insights.
Learn about the key concepts of the software engineering process in a practical context. This module introduces the broad spectrum of issues relating to software system design. Build upon the concepts of object-oriented programming by studying another programming language often used in large scale enterprises. Further your ability to generate object-oriented programmes and build applications using common software engineering principles.
Gain an insight into the concept of cloud computing. Develop your knowledge of the different technologies used to build cloud systems and how these are used to offer computing on-demand to applications. You will also learn about how to build cloud applications using some of the common technologies.
The digital transformation of processes and data using cloud technologies is ever increasing in importance to modern business. Learn about the key opportunities and challenges involved in using cloud technologies for digital transformation, including cloud infrastructure, application modernisation, value generation and applying the cloud in a business context and consider the leadership aspects of driving digital transformation.
Examine how machine learning is transforming business analytics and decision-making. You will explore applications such as predictive modelling, customer segmentation and demand forecasting. The module considers both the opportunities and challenges of using machine learning in business environments, including ethical and data governance considerations. By the end of the module, you will understand how machine learning tools can support improved business outcomes.
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