100% Online MSc Computer Science with Cyber Security
- Flexible payment : Pay per module
- Next start date : Start immediately
- Fee per 15-credit module : £650
- Total Credits : 180
Secure your career protecting information and computer systems from online harm
Cyber security acts as a line of defence between organisations and individuals and criminals seeking to exploit vulnerabilities in information systems and misuse online data. Build your career and learn how to use information security to minimise the threat of cybercrime with our 100% online MSc Computer Science with Cyber Security.
Study cyber security core modules to become equipped with the practical skills and theoretical knowledge needed to work in data, intelligence, systems security and more, even if you don’t already have a computer science background. Our focus on employability and educating work-ready professionals is enhanced by more than 120 years’ history spent teaching science and technology, as well as close links with businesses in the City of London.
This postgraduate programme is offered 100% online and as part-time study, designed to meet the needs of busy professionals who need to combine work, study, and life. You can also start as soon as you’re admitted, even if outside the traditional academic year, with no formal start dates.
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 important skills in cyber security as well as 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 also be given the opportunity to gain skills in programming, software engineering, artificial intelligence 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 the more mathematical aspects of cyber security
Who our MSc Computer Science with Cyber Security 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 aims to equip busy professionals looking to make a career change and work in cyber security and other IT areas. Offered 100% online and part-time, the programme’s flexible delivery makes it ideal for those who need to combine work and study.
Potential career paths for MSc Computer Science with Cyber Security graduates
This computer science degree programme provides the highly sought-after skills and knowledge needed for real-world careers in cyber security. Some of the roles you will be equipped to work in include:
- Cyber Security Analyst
- Intelligence Analyst
- Forensic Computer Analyst
- IT Security Coordinator
- Software Security Officer
Entry requirements for home and international students
To study the MSc Computer Science with Cyber Security 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.
Build on your knowledge of cyber security to address encryption, principles of crypto-analysis and security protocols as well as security in wireless systems. Gain the knowledge and skills required to identify appropriate protection mechanisms in cyber security. With network security as an important focus, you will learn about protocols built on cryptography to communicate securely over unsecure networks, remote attacks, and defences to protect against cyberattacks.
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.
Electives
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.
OR
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.
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