100% Online MSc Computer Science
- Flexible payment : Pay per module
- Next start date : Start immediately
- Fee per 15-credit module : £650
- Total Credits : 180
Your future-focussed digital career begins here
Digital technologies form the heart of all modern business operations. Take your next step into a digital career by upskilling with our 100% online MSc Computer Science programme. Our programme is designed to equip those looking to gain the real-world skills and knowledge needed for careers in IT, but who don’t have prior computer science education, for careers of the future.
You will study with City, University of London, the university of business, practice, and the professions, benefiting from our deep industry links and more than 120 years’ history delivering science and technology education. This master’s degree provides highly in-demand skills, preparing you to work as a digital professional, across many sectors including, finance and banking, technology and start-ups, education, the civil service and more.
Experience the flexibility of 100% online, part-time learning, so you can fit your postgraduate studies around work and other commitments. Finally, there is no formal start date, so you can start your coursework as soon as you’re ready, after admitted into the programme.
What you’ll learn
You will develop a broad knowledge of computer science, including the skills, engineering, and science sides of the discipline. Learn essential skills, as well as some theory that allows you to apply your skills effectively.
Develop your ability to solve computational problems via coding and other appropriate means. You will be introduced to the development of software and learn skills in software engineering, as well as develop an appreciation of the computer systems on which software solutions are implemented. You will be given grounding in the areas of programming, software engineering, artificial intelligence, cyber-security and data analytics.
Students also undertake a selection of optional modules as electives to complete their coursework.
On successful completion, you will be able to:
- Formulate computing and programming problems of varying types
- Match problems to the tools, techniques and approaches most suitable to solving them
- Understand and practically apply skills in the major programming languages and paradigms
- Understand and practically apply skills in computer systems, artificial intelligence, cybersecurity and data analytics
- Plan how to approach a range of different problems in computer science
Who our MSc Computer Science is suited to
This master’s degree will suit graduates and mid-career professionals looking to upskill into a digital career, who don’t have the academic background to do so. It covers a variety of computer science areas, so is a good option for those looking to move into IT careers more broadly. It’s 100% online, part-time nature is well-suited to busy professionals who need to fit their studies in alongside work and other commitments.
Potential career paths for MSc Computer Science graduates
This computer science degree programme provides the highly sought-after skills and knowledge needed for real-world IT and digital careers. Depending on your choice of electives, some of the roles you will be equipped to work in include:
- Cyber Security Analyst
- Data Analyst
- Machine Learning Engineer
- Software Engineer
- Web Developer
Entry requirements for home and international students
To study the MSc Computer Science you will need a:
- Lower second-class (honours) undergraduate degree, or equivalent, in a subject area other than Computer Science (or similar)
OR
- Master’s degree, or equivalent, in a subject area other than Computer Science (or similar)
OR
- Third-class honours degree or an ordinary degree (without honours), or equivalent, in a subject area other than Computer Science (or similar) with a minimum of two years’ appropriate work experience.
Some students may also be exempt from some programme modules, depending on previous study and work experience, subject to City’s Assessment Regulations.
English language requirements
You may also need to demonstrate your capability to study in English. Two common methods and the levels required are:
- IELTS Academic: 6.0 (minimum of 6.0 in all four components)
- TOEFL IBT: 80 (with 20 in each component)
- IELTS/TOEFL tests need to have been taken in the last two years.
We also accept GCSE English language grade 4 (C) or evidence from an accepted English language test.
Note: You will not be required to prove your English language capability, if you're a national of a majority English-speaking country, or have completed a university degree (or equivalent) in one.
Entry Requirements
- Entry requirements for home and international students
To study the MSc Computer Science you will need a:
Lower second-class (Hons) undergraduate degree, or equivalent, in a subject area other than Computer Science (or similar).
OR
Master’s degree, or equivalent, in a subject area other than Computer Science (or similar) .
OR
Third-class honours degree or an ordinary degree (without honours), or equivalent, in a subject area other than Computer Science (or similar) with a minimum of two years’ appropriate work experience.
Some students may also be exempt from some programme modules, depending on previous study and work experience, subject to City’s Assessment Regulations.
- English language requirements
You may also need to demonstrate your capability to study in English. Two common methods and the levels required are:
IELTS Academic: 6.0 (minimum of 6.0 in all four components).
TOEFL IBT: 80 (with 20 in each component).
IELTS/TOEFL tests need to have been taken in the last two years.
We also accept GCSE English language grade 4 (C) or evidence from an accepted English language test.
Note: You will not be required to prove your English language capability, if you're a national of a majority English-speaking country, or have completed a university degree (or equivalent) in one.
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.
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.
Become familiar with the key concepts of data analytics and big data. Learn about the sources of data, data mining, and what can be achieved by analysing that data, within a business, and other contexts. Alongside data analytics, you will learn about data visualisation techniques and tools.
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.
Gain an understanding of the principles of computer systems and networking as you explore computer architectures, operating systems, and networks. Learn the purpose of an operating system, and how it supports resource sharing and concurrency. The module also teaches you how to qualitatively and quantitively assess issues that affect performance of computer systems and programmes running on them.
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.
Learn both the theoretical and practical knowledge and skills involved in Human Computer Interaction (HCI). This module provides the essential knowledge for understanding users of interactive systems and helps you to design usable systems applying a user-centred design approach. The design and evaluation techniques delivered are widely applied in industry.
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.
Electives
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.
OR
Challenge yourself with a thorough investigation into a topic of your choice and by undertaking a substantive piece of independent work. This is your opportunity to apply what you have learned within the programme overall. Projects could include: the development of a substantial software artifact, developing a deeper understanding of an area of the programme, or research project another area of interest. Use this project to demonstrate the depth of your skills and knowledge.
Get Started
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