MSc Cyber Security Analytics

1 Years On Campus Masters Program

University of Exeter

Program Overview

 

The MSc Cyber Security Analytics at the University of Exeter combines cyber security and data science to help students develop the advanced skills needed to protect digital systems and analyse complex security threats. The programme is ideal for students interested in technology, security and data-driven solutions, covering areas such as secure systems, data analytics, artificial intelligence, risk management and emerging cyber security challenges.

Curriculum Structure

Year 1

During this one-year master’s programme, students develop a strong foundation in cyber security and data analytics by exploring how digital systems can be protected and how data can be used to identify and manage security risks. Core modules such as Fundamentals of Security, Introduction to Data Science, Data Systems, and Building Secure and Trustworthy Systems help students understand security principles, data analysis techniques, secure software development and the design of reliable digital environments.

Students can then personalise their learning through specialist optional modules that explore advanced areas of cyber security and analytics. Modules such as Security Assessment and Validation, Machine Learning, Learning from Data, High-Performance Computing, Data Governance and Ethics, and The International Law of Cyber Operations allow students to develop technical expertise while also understanding ethical, legal and governance challenges in cybersecurity.

The programme concludes with a Research Project, where students apply their knowledge of cyber security and data analytics to investigate a real-world challenge. This project helps students strengthen their independent research skills, analytical thinking and ability to develop practical solutions under academic supervision.

Focus Areas

Cyber security, data analytics, secure systems, artificial intelligence, machine learning, security assessment, cyber risk management, data governance, privacy protection, high-performance computing, digital security, secure software design and ethical aspects of cyber operations.

Learning Outcomes

Develop advanced knowledge of cyber security and data science, analyse and manage digital security risks, design secure and trustworthy systems, apply data analytics and machine learning techniques to security challenges, understand legal and ethical issues in cyber security, conduct independent research and develop solutions to complex technology problems.

Professional Alignment (Accreditation)

The MSc Cyber Security Analytics develops the technical, analytical and problem-solving skills required for careers in cyber security, data analytics and digital technology industries. Through its interdisciplinary approach, combining expertise from Computer Science, the Business School and the Law School, the programme helps students understand cyber security from technical, organisational and regulatory perspectives.

Reputation (Employability Rankings)

The University of Exeter is a globally recognised research university with a strong reputation for academic excellence, innovation and graduate employability. The programme benefits from Exeter’s research strengths and connections with organisations and initiatives such as the Alan Turing Institute, the Institute of Data Science and Artificial Intelligence, the South West Cyber Security Cluster and BSides Exeter, giving students exposure to current developments in cyber security and data science.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Cyber Security Analytics at the University of Exeter provides students with practical experience by combining cyber security, data science and real-world problem-solving. Students develop the ability to analyse security threats, protect digital systems and use data-driven approaches to solve complex cyber challenges through programming activities, research projects and applied learning. With access to specialist computing facilities, research expertise and advanced digital resources, students gain the practical skills needed to succeed in the evolving cyber security industry.

Students gain practical skills through specialist facilities, digital tools and research environments, including:

  • Work in modern Computer Science teaching laboratories, including the Babbage and Lovelace computer labs, which provide collaborative spaces for programming, technical exercises, project work and practical computing activities.

  • Use specialist computing environments and software tools available within the Computer Science department to support programming, data analysis, security experiments and technical coursework.

  • Develop programming and analytical skills using tools such as Python for cyber security analytics, data science applications and computational problem-solving.

  • Apply knowledge through the MSc Research Project, where students investigate a cyber security or data analytics challenge and develop solutions under the guidance of academic experts.

  • Access advanced computing resources through High Performance Computing (HPC) facilities, supporting complex data processing, modelling and research activities.

  • Explore hardware and software interaction using resources such as Raspberry Pi systems, helping students understand embedded computing and digital system design.

  • Build specialist knowledge through modules such as Fundamentals of Security, Building Secure and Trustworthy Systems, Data Systems, Introduction to Data Science, Security Assessment and Validation and Machine Learning.

  • Develop teamwork and communication skills through collaborative coursework, technical exercises, project activities and presentations that reflect professional working environments.

  • Benefit from the research environment of the Institute of Data Science and Artificial Intelligence, where students engage with emerging areas such as trustworthy systems, artificial intelligence and data-driven technologies.

  • Gain exposure to the wider cyber security community through Exeter’s connections with organisations and initiatives such as the South West Cyber Security Cluster, BSides Exeter and professional cyber security networks.

  • Access dedicated computing spaces and collaborative learning areas that support independent study, group discussions and technical development.

Progression & Future Opportunities

The MSc Cyber Security Analytics at the University of Exeter prepares graduates with a strong combination of cyber security knowledge, data analytics expertise and practical problem-solving skills needed to tackle modern digital security challenges. The programme equips students for careers across technology, finance, healthcare, government and other sectors where protecting data and digital systems is essential. Graduates can pursue roles such as Cyber Security Analyst, Security Consultant, Data Analyst, Threat Intelligence Specialist and Information Security Engineer.

The programme supports your career development through dedicated employability services, industry connections and opportunities to build professional expertise:

  • Access support from the University of Exeter Career Zone, which provides personalised career guidance, one-to-one advice, employability workshops, employer events, skills development sessions and resources to help students prepare for employment.

  • Benefit from Exeter’s strong graduate reputation and employer connections, with the university recognised for producing highly employable graduates and maintaining links with a wide range of national, international and regional organisations.

  • Develop industry-relevant expertise through modules covering cyber security, data science, machine learning, security analytics and secure systems, helping graduates build skills aligned with current technology sector demands.

  • Gain a broader understanding of cyber security challenges through the programme’s interdisciplinary approach, combining knowledge from Computer Science, the University of Exeter Business School and the Law School.

  • Build professional awareness through connections with the wider cyber security community, including organisations and initiatives such as the South West Cyber Security Cluster and BSides Exeter, providing insight into current industry practices.

  • Benefit from Exeter’s research strengths through links with the Alan Turing Institute and the Institute of Data Science and Artificial Intelligence, allowing students to engage with emerging developments in artificial intelligence, data science and secure technologies.

  • Explore career opportunities in sectors such as software development, financial services, healthcare technology, government, intelligence, life sciences and manufacturing, where cyber security expertise is increasingly valued.

  • Gain long-term career benefits from a specialist master’s degree that combines cyber security and analytics, providing adaptable skills for future developments in digital technology and security.

  • Graduate with valuable transferable skills including analytical thinking, independent research, technical communication, teamwork and the ability to solve complex security problems.

Further Academic Progression:
After completing the MSc Cyber Security Analytics, graduates can continue their academic journey through a PhD or doctoral research programme in areas such as cyber security, artificial intelligence, machine learning, data science, secure systems or privacy technologies. The research and analytical experience gained during the programme can support students interested in advanced research, academic careers or specialist roles in technology innovation and cyber security development.

Program Key Stats

£29,800
£12,900
Sept Intake : 11th Sep


68 %

Eligibility Criteria

3.2

NA
NA
NA
6.5
90
2:1
NA
NA
75
No

Additional Information & Requirements

Country Requirements

Career Options

  • Cyber Security Analyst
  • Security Consultant
  • Cyber Security Engineer
  • Data Analyst
  • Data Scientist
  • Information Security Specialist
  • Security Architect
  • Threat Intelligence Analyst
  • Digital Forensics Analyst
  • Risk Analyst
  • Security Operations Centre Analyst
  • Machine Learning Engineer
  • Penetration Tester

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