Cyber Security Management (MSc) (2022 Entry)
Over the course of the year, you will develop a clear understanding of the cyber threat landscape and how a cyber incident may evolve. You will cover the key technologies required to defend and protect organisational information infrastructures from threats and attacks, and will learn how to manage and limit the impact an attack can have on a business.
You will focus on the strategic deployment and implementation of cyber security within an organisation: understanding the threat, managing resources, implementing solutions, and effectively communicating these to senior decision-makers, in order to support the strategic growth of a business.
This course draws extensively on current professional practices, and benefits from teaching input by cyber security professionals currently working in their areas of expertise. It also draws extensively on our world class research experience. During the course of studies, you will have opportunities to participate in research projects with leading researchers.
2:i undergraduate degree (or equivalent) in IT, Computer Science, or a related subject.
Candidates with a UK 2:ii (or equivalent) may be accepted upon demonstration of relevant professional experience.
This course also caters for non-STEM graduates with a specific interest in cyber security.
English Language requirements header
- Band A
- IELTS overall score of 6.5, minimum component scores not below 6.0
International requirements header
Additional requirements header
Candidates with professional experience should include their CV with their application.
- Proactive Cyber Defence
- Managing Cyber Risk, Audit and Compliance
- Digital Forensic Investigation
- Management of Cryptosystems
- Penetration Testing
- Cyber Security Consultancy
- Study, Professional, and Analytical Skills
Optional modules
Alongside your core modules, you should select one of the following elective modules:
- Cloud Native Computing
- Enterprise e-Commerce Solutions
- Programming and Fundamental Algorithms
- Machine Intelligence and Data Science
Read the module descriptions for this course on WMG's website.
This course has two components – a taught component accounting for two-thirds of your time and effort and a research component (dissertation) accounting for one-third.
For the taught component, we blend synchronous and asynchronous learning, delivered through lectures, seminars, lab work, syndicate exercises, simulations, and case studies. Modules are generally delivered intensively over one full week or two half weeks, and classes are deliberately kept small to encourage interaction. Our module leaders have extensive industry experience. Guest speakers from industry also contribute regularly, bringing real-world insight into your learning experience.
Our module leaders have extensive industry experience. Guest speakers from industry also contribute regularly, bringing real-world insight into your learning experience.
Class size header
Overall this course can accommodate up to 52 students, divided into two classes of 26 students for most modules.
Contact hours header
Our courses are modular in structure, with modules generally being taught in intensive one-week blocks from Monday to Friday, 9.00am - 6.00pm. Some modules will be taught over two half weeks or more, and occasionally you may be required to attend weekend sessions.
In addition to the taught component, you will have online pre-module preparation, and a substantial Post Module Assignment (PMA) following each module.
Each module accounts for 150 hours of learning time, divided between pre-work, in-module time, and post module assessment.
Assessment header
At the end of each module, you will be given a Post Module Assignment (PMA) based on the learning objectives of that module. This is a piece of assessed written work which should take around 110 hours to complete. Most modules also have some in-module assessed work.
For the research component, each student undertakes a major individual project, which will develop your research and analytical skills and enable you to specialise. This project accounts for 33% of your overall credits and is submitted in the form of a dissertation.
Reading lists
Most departments have reading lists available through Warwick Library. If you would like to view reading lists for the current cohort of students you can visit our Warwick Library web page.
Your timetable
Your personalised timetable will be complete when you are registered for all modules, compulsory and optional, and you have been allocated to your lectures, seminars and other small group classes. Your compulsory modules will be registered for you and you will be able to choose your optional modules when you join us.