The BSc Crime and Data Science at the University of Exeter equips students with practical skills in data analysis and computational methods to tackle crime. It suits individuals interested in understanding social issues through data, without requiring an advanced mathematical background.
Curriculum Structure:
Year 1: Students are introduced to the foundations of criminology and data science. Core units include Introduction to Criminology, Programming for Data Science, and Statistics for Social Research, helping students build essential skills in Python, R, and statistical analysis.
Year 2: This year deepens analytical capabilities and applies them to crime-related contexts. Key modules such as Crime Mapping and Spatial Analysis, Machine Learning for Social Data, and Research Methods in Criminology enable students to explore patterns in crime data and refine investigative techniques.
Year 3: Students focus on specialized topics and independent research. Optional modules allow for tailored learning, including Cybercrime and Digital Investigation, Advanced Statistical Modelling, and Big Data Analytics, preparing students for professional roles or further study.
Focus Areas: Crime analysis, data manipulation, statistical modelling, computational methods, social research
Learning Outcomes: Ability to apply data science techniques to criminology, proficiency in Python and R, capacity to conduct independent research and interpret crime data
Professional Alignment (Accreditation): Accredited by the University’s Centre for Computational Social Science, with training relevant to law enforcement, security, and analytics careers
Reputation (Employability Rankings): High employability prospects supported by Exeter’s strong industry links and reputation for research-led teaching
At the University of Exeter, the BSc Crime and Data Science program emphasizes hands-on, experiential learning to ensure students gain practical skills that can be directly applied in professional settings. You will engage with real-world data, develop expertise in statistical analysis, and learn how to use programming languages like Python and R to tackle crime-related problems. The program is closely linked with the Centre for Computational Social Science (C2S2), giving you access to cutting-edge research, tools, and collaborative opportunities. This practical focus is reinforced through interactive workshops, project-based learning, and optional modules that allow you to tailor your experience.
Students can expect to benefit from a variety of facilities and learning experiences, including:
Access to advanced statistical and computational software such as Python and R for data analysis and modeling
Participation in group projects and collaborative research with peers and faculty
Opportunities for internships and placements, integrating professional experience into your degree
Use of the Centre for Computational Social Science (C2S2) for research and applied projects
Workshops on crime mapping, algorithm development, and data visualization
Access to the University’s libraries and digital resources for research and independent study
Optional field trips or applied projects that connect classroom learning to real-world contexts
Specialist laboratories for data analysis and computational research
This combination of technical training, applied projects, and access to dedicated research centers equips you with both the skills and confidence to pursue careers in crime analysis, data science, law enforcement, or related fields.
Graduates from the BSc Crime and Data Science at the University of Exeter are well-prepared to enter roles where analytical and criminological skills intersect, often moving into sectors such as law enforcement, security, and business intelligence. Typical roles include Crime Analyst, Data Analyst, Intelligence Officer, and Policy Advisor:
University Services to Support Employment: The Careers and Employability Service provides one-to-one guidance, workshops, and internship placements to enhance your employability.
Employment Stats and Salary Figures: Many graduates secure roles within six months of graduation, with starting salaries typically ranging from £25,000 to £35,000.
University–Industry Partnerships: The program benefits from collaborations with law enforcement agencies and private sector security firms, offering practical experience and networking opportunities.
Long-Term Accreditation Value: The degree is recognized for its combination of data science and criminology expertise, providing a strong foundation for professional certifications in data analysis or criminal intelligence.
Graduation Outcomes: Students leave with a mix of technical, analytical, and criminological skills, equipping them for careers in both public and private sectors that require data-driven decision-making.
Further Academic Progression: Students may choose to continue their studies with postgraduate degrees such as an MSc in Criminology, Data Science, or Cybersecurity, or pursue professional qualifications in law enforcement, intelligence analysis, or data analytics to advance their careers further.
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