MSc Security and Data Science

1 Year On Campus Masters Program

University of Exeter

Program Overview

 

The MSc Security and Data Science at the University of Exeter brings together data science, artificial intelligence, and security studies to help students understand how emerging technologies are shaping modern security challenges. Designed for students from a variety of academic backgrounds, the programme develops practical data analysis skills and prepares graduates to apply technology-driven solutions in areas such as security, defence, government, and policy.

Curriculum Structure

Year 1

Throughout the programme, you will explore the connection between technology, security, and society through core modules such as Security, Artificial Intelligence and Emerging Technologies, Computational Social Science 1, and Computational Social Science 2. These modules help you understand the impact of artificial intelligence, digital technologies, and computational methods on areas including national security, crime prevention, defence, and public policy while developing practical skills in analysing complex data.

You will then apply your knowledge through the Policy Analytics: Dissertation or Research Consultancy Project, where you investigate a security or policy-related topic using research methods and data-driven approaches. You can also personalise your studies through optional modules such as AI and Society, Data Governance and Ethics, Statistical Modelling, Data Visualisation, Digital Politics and Policy, and Security Futures, allowing you to focus on areas that match your career goals.

Focus Areas

Security Studies, Artificial Intelligence, Data Science, Computational Social Science, Emerging Technologies, Cybersecurity Challenges, Policy Analytics, Data Governance, Statistical Modelling, Data Visualisation, Digital Security, Technology and Society, Defence and Intelligence Applications.

Learning Outcomes

Develop practical data science and analytical skills, understand the role of artificial intelligence and emerging technologies in modern security environments, analyse complex datasets, apply computational methods to security and policy challenges, evaluate technology-related risks, conduct independent research, and use data-driven insights to support decision-making in security, government, defence, and related fields.

Professional Alignment (Accreditation)

The MSc Security and Data Science is designed to meet the growing demand for professionals who can combine technical data skills with an understanding of security challenges. Although the programme does not have a specific professional accreditation, its interdisciplinary approach prepares graduates for careers where data analysis, artificial intelligence, and security knowledge are increasingly important, including government, intelligence, law enforcement, and technology sectors.

Reputation (Employability Rankings)

  • The University of Exeter is a member of the Russell Group, recognised for its research excellence and strong global reputation.

  • The programme develops a distinctive combination of security knowledge and data science expertise, helping graduates stand out in a rapidly growing technology-driven employment market.

  • Graduates are prepared for opportunities in areas such as security services, government departments, law enforcement agencies, research organisations, business intelligence, and technology-focused roles.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Security and Data Science at the University of Exeter provides a practical learning experience that combines data science techniques with an understanding of modern security challenges. Students develop the ability to analyse real-world data, apply computational approaches, and explore how artificial intelligence and emerging technologies are influencing areas such as defence, intelligence, law enforcement, and public policy. Through research projects, seminars, programming activities, and collaborative learning, students build the technical and analytical skills needed for careers in security and technology-driven fields.

Students gain practical experience through a range of specialist tools, digital resources, and learning activities:

  • Develop data analysis and computational skills using Python and other programming tools to support research and security-focused data projects.

  • Apply data science techniques to security challenges by working with analytical methods, computational approaches, and real-world examples related to emerging technologies.

  • Build teamwork and communication skills through group discussions, presentations, seminars, collaborative activities, and research-based assignments.

  • Complete the Policy Analytics: Dissertation or Research Consultancy Project, where students conduct independent research on a security or policy-related topic using data-driven methods.

  • Benefit from the expertise of the Centre for Computational Social Science (C2S2), which supports computational and quantitative research approaches across social and policy-related fields.

  • Access the University of Exeter’s computer facilities, including specialist computing labs, collaborative learning spaces, and digital resources that support programming and data analysis activities.

  • Work with modern computing environments designed for software development, research activities, and project-based learning.

  • Learn from academics, industry professionals, and graduates who provide insights into current developments in artificial intelligence, security, and data science.

  • Apply data science methods to real-world security issues, including technology risks, artificial intelligence applications, intelligence analysis, and digital security challenges.

  • Benefit from a research-led learning environment where students engage with current developments in data science, artificial intelligence, and computational research.

Progression & Future Opportunities

The MSc Security and Data Science at the University of Exeter prepares graduates with a powerful combination of data science expertise, artificial intelligence knowledge, and security awareness, helping them address the challenges created by rapidly evolving technologies. The programme develops practical analytical and research skills that are valuable across sectors such as government, defence, intelligence, law enforcement, technology, and business analytics. Graduates can pursue roles including Security Analyst, Data Analyst, Intelligence Analyst, and Business Intelligence Analyst.

Students benefit from a range of career support services and professional opportunities:

  • Access the University of Exeter’s Career Zone, which provides personalised career guidance, CV and application support, interview preparation, employer networking opportunities, workshops, and resources to help students achieve their career goals.

  • Develop in-demand technical skills in Python, data analytics, artificial intelligence, statistical methods, and computational approaches, alongside the ability to interpret complex security and policy-related information.

  • Prepare for careers with organisations such as security services, government departments, law enforcement agencies, intelligence organisations, National Crime Agency, Europol, and Interpol.

  • Build transferable skills that also support careers in business intelligence, data analysis, market research, policy analysis, and research roles across different industries.

  • Benefit from the expertise of the Centre for Computational Social Science (C2S2), where students gain experience with quantitative and computational research approaches relevant to modern data-driven careers.

  • Gain practical experience through research projects, programming activities, presentations, group discussions, and applying data science techniques to real-world security and policy challenges.

  • Benefit from the University of Exeter’s strong academic reputation as a Russell Group university, with a research-led environment that supports innovation in security, artificial intelligence, and data science.

  • Graduate with a distinctive combination of security knowledge and data science skills, allowing you to compete for roles that require professionals who can understand both technology and its wider social impact.

Further Academic Progression:

After completing the MSc Security and Data Science, students can continue their studies through a PhD in Data Science, Artificial Intelligence, Cybersecurity, Computational Social Science, Security Studies, International Relations, or other related research areas. The dissertation or research consultancy project provides valuable research experience and prepares graduates for doctoral study, specialist research positions, and academic careers.

Program Key Stats

£25,550
£12,650
Sept Intake : 11th Sep


68 %

Eligibility Criteria

AAB
2.6
34
80

NA
NA
NA
6.5
90
2:2
NA
NA
70
No

Additional Information & Requirements

Country Requirements

Career Options

  • Security Analyst
  • Data Analyst
  • Intelligence Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Policy Analyst
  • Security Consultant
  • Cybersecurity Analyst
  • Research Analyst
  • Government Analyst
  • Digital Security Specialist
  • Risk Analyst
  • Data Journalist
  • Market Research Analyst
  • Social Researcher

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