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Study information

Programme Specification for the 2023/4 academic year

BSc (Hons) Crime and Data Science with Study Abroad

1. Programme Details

Programme nameBSc (Hons) Crime and Data Science with Study Abroad Programme codeUFS4HPSHPS17
Study mode(s) Academic year2023/4
Campus(es)Streatham (Exeter)
NQF Level of the Final Award6 (Honours)

2. Description of the Programme

BSc Crime and Data Science with Study Abroad is a new interdisciplinary programme that combines social and criminological theories with data science skills. Data science is an interdisciplinary field that combines scientific methods, statistical techniques, and computational methods such as the use of algorithms and processes in order to gain actionable insights from unstructured and “noisy” data. Recent years have seen an ever-increasing interest in the application of data science methods to both researching and tackling crime. In this programme you will learn how to analyse data using Python and R, the two most popular programming languages for data science, as well as learning about statistical methods for data analysis. You will also learn about criminology and applying the data science skills to understanding and responding to crime and deviance. This programme will suit many career opportunities, such as analyst positions in law enforcement, defence, security, intelligence, consultancy, and the public sector. 

3. Educational Aims of the Programme

4. Programme Structure

5. Programme Modules

The following tables describe the programme and constituent modules. Constituent modules may be updated, deleted or replaced as a consequence of the annual programme review of this programme.

Students will take a combination of substantive Criminology and Data Science core modules. This combination will to teach students how different fields have used their frameworks and methods to study crime and policing issues and will also equip students with the necessary analytical and computing skills that employers are looking for.

The following tables describe the programme and constituent modules. Constituent modules may be updated, deleted or replaced as a consequence of the annual review of this programme. Details of the modules currently offered may be obtained from the College website.

You may take optional modules as long as any necessary prerequisites have been satisfied, where the timetable allows and if you have not already taken the module in question or an equivalent module.

You may take elective modules up to 30 credits outside of the programme in stages 2 and 4 of the programme as long as any necessary prerequisites have been satisfied, where the timetable allows and  if you have not already taken the module in question or an equivalent module.

Students are required to take 30 credits from the approved list of data analysis / data science modules (not including the compulsory core modules). The list will be updated annually by the Programme Director. See note a in the tables below.

Stage 1


Stage 1: 90 credits of compulsory modules, 30 credits of optional modules

Compulsory Modules

CodeModule Credits Non-condonable?
SSI1005 Introduction to Social Data 15Yes
SSI1006 Data Analysis in Social Science 1 15Yes
SSI1002 Programming for the Social Sciences 30No
SOC1039 Social Issues: Part I - Introducing Crime and Deviance 15No
SOC1040 Social Issues: Part II - Themes in Criminology 15No

Optional Modules

Choose 30 credits from this list of optional modules.

CodeModule Credits Non-condonable?
SOC Stage 1 BSc Crime & Data option modules 2023-4
SSI1004 Social Problems 15 No
SOC1047 Imagining Social Worlds: Qualitative Research 15 No
SOC1045 Introduction to Criminal Justice 15 No

Stage 2


Stage 2: 45 credits of compulsory modules, 75 credits of optional modules

Compulsory Modules

CodeModule Credits Non-condonable?
SSI2004 Research Design in the Social Sciences 15Yes
SSI2005 Data Analysis in Social Science 2 15Yes
SSI2007 Data Analysis in Social Science 3 15Yes
SPA2003 Crime Science 15No
SSI2008 Mapping the Social World: Introduction to Spatial Analysis in the Social Sciences 15No

Optional Modules

Choose 75 credits from this list of optional modules.

a - Students are required to take 30 credits in these modules over Stages 2 and 4.

CodeModule Credits Non-condonable?
SOC Stage 2 BSc Crime & Data option modules 2023-4
SOC2121 Cybercrime 15 No
SOC2101 Police and Policing 15 No
SOC2063 Policy Analysis in Criminology 15 No
SSI2006 Immigration in Western Societies 15 No
SOC2122 Digital Society 15 No
SOC2038 On Violence 15 No
SOC2104 Victimology 15 No
SOC2035 International Criminal Justice: Comparative Criminology 15 No
SOC2036 International Criminal Justice: Application of Theory to Transnational and International Crime 15 No
SOC2068 Race, Ethnicity and Criminalisation 15 No
SOC2069 Crimes of the Powerful 15 No
SOC2098 Sociology of Imprisonment 15 No
SOC2133 The Anthropology of Prisons 15 No
SOC2135 Forensic Cultures 15 No
POL2057 Security Studies 15 No
POL2098 What is Law? Jurisprudence from Stone Tablet to Brain Imaging 15 No
SSI2001 Learning from Work Experience in Social Sciences 15 No

Stage 3


Stage 3: 120 credits of compulsory modules.

Compulsory Modules

CodeModule Credits Non-condonable?
SSI3999 Year Abroad 120Yes

Stage 4


30 credits of compulsory Dissertation, 90 credits of optional modules

Compulsory Modules

CodeModule Credits Non-condonable?
SSI3019 Quantitative Dissertation 30No

Optional Modules

Choose 75 credits from this list of optional modules.

a - Students are required to take 30 credits in these modules over Stages 2 and 4.

CodeModule Credits Non-condonable?
SOC Final Stage BSc Crime & Data option modules 2023-4
SOC3129 Cybercrime 15 No
SOC3101 Police and Policing 15 No
SOC3121 Policy Analysis in Criminology 15 No
SSI3002 Immigration in Western Societies 15 No
SOC3130 Digital Society 15 No
SOC3002 On Violence 15 No
SOC3104 Victimology 15 No
SOC3034 International Criminal Justice: Comparative Criminology 15 No
SOC3036 International Criminal Justice: Application of Theory to Transnational and International Crime 15 No
SOC3126 Race, Ethnicity and Criminalisation 15 No
SOC3127 Crimes of the Powerful 15 No
SOC3098 Sociology of Imprisonment 15 No
SOC3141 The Anthropology of Prisons 15 No
SOC3143 Forensic Cultures 15 No
SSI3001 Introduction to Social Network Analysis 15 No
POL3168 War and its Aftermath: Interventions and Contemporary Conflict 30 No
POL3193 Women in the Criminal Justice System: Law, Policy and Institutions 30 No
SSI3017 Learning from Work Experience in the Social Sciences 15 No

6. Programme Outcomes Linked to Teaching, Learning and Assessment Methods

Intended Learning Outcomes
A: Specialised Subject Skills and Knowledge

Intended Learning Outcomes (ILOs)
On successfully completing this programme you will be able to:
Intended Learning Outcomes (ILOs) will be...
...accommodated and facilitated by the following learning and teaching activities (in/out of class):...and evidenced by the following assessment methods:

1. Demonstrate knowledge of core methods of social data science.
2. Demonstrate the ability to use the programming languages of R and Python to analyse social data.
3. Demonstrate your understanding of criminology as a distinct area of study and inquiry, and its multidisciplinary or interdisciplinary nature.
4. Show knowledge of main theories and approaches in criminology.
5. Demonstrate knowledge of empirical research designs and methods employed in the study of crime.
6. Demonstrate understanding (at increasing depth, according to level) of issues (increasingly complex, according to level) arising from the subject matter of the elective modules taken.

1-2). Are developed initially in SSI1002, SSI1005 and SSI1006, and then further developed in SSI2005 and SSI2006.

3-4) Are introduced in SOC1039 and SOC1040 and then further developed in optional modules in stages 2 and 4.

5) Is introduced in SSI1002, SSI1005, SSI1006 and further developed in SSI2004

6) Is delivered via optional modules in stages 1-4.

The assessment of these skills is through a combination of essays, data reports, examinations, online tests, coding exercises, and oral presentations

Intended Learning Outcomes
B: Academic Discipline Core Skills and Knowledge

Intended Learning Outcomes (ILOs)
On successfully completing this programme you will be able to:
Intended Learning Outcomes (ILOs) will be...
...accommodated and facilitated by the following learning and teaching activities (in/out of class):...and evidenced by the following assessment methods:

7. Draw thematic comparisons between material from different sources.
8. Show awareness of contrasting approaches to research.
9. Identify problems of reliability and bias in, and more generally evaluate, empirical evidence.
10. Produce accurate reference to sources in written work.
11. Answer questions concisely and persuasively in written work.
12. Present work and answer questions orally.
13. Deploy complex terminology in a comprehensible manner.
14. Focus on and comprehend complex texts.

These skills are developed throughout the degree programme, but the emphasis becomes more complex as students move from stage to stage. They are developed through lectures and seminars, written work, and oral work (both presentation and class discussion).

The assessment of these skills is through a combination of essays, data reports, examinations, online tests, coding exercises, and oral presentations.

Intended Learning Outcomes
C: Personal/Transferable/Employment Skills and Knowledge

Intended Learning Outcomes (ILOs)
On successfully completing this programme you will be able to:
Intended Learning Outcomes (ILOs) will be...
...accommodated and facilitated by the following learning and teaching activities (in/out of class):...and evidenced by the following assessment methods:

15. Undertake independent research and ability to work to deadlines.
16. Present an argument orally in a clear, organized and effective manner.
17. Digest, select and organise material for written work and oral presentations, and write to varying word lengths.
18. Evaluate own work.
19. Participate in oral discussions; present and evaluate complex arguments and ideas orally; digest, select and organise material for oral presentations.
20. Work with others as part of a team.
21. Plan the execution of work over a long time scale.
22. Use library and the world-wide web to find appropriate and relevant information.
23. Use programming languages to analyse data.

These skills are developed throughout the degree programme, but the emphasis becomes more complex as students move from stage to stage. They are developed through lectures and seminars, written work, and oral work (both presentation and class discussion).

The assessment of these skills is through a combination of essays, data reports, examinations, online tests, coding exercises, and oral presentations.

7. Programme Regulations

Full details of assessment regulations for all taught programmes can be found in the TQA Manual, specifically in the Credit and Qualifications Framework, and the Assessment, Progression and Awarding: Taught Programmes Handbook.

Additional information, including Generic Marking Criteria, can be found in the Learning and Teaching Support Handbook.

The University and its constituent Colleges review the quality and standard of teaching and learning in all taught programmes against a range of criteria through the procedures outlined in the Teaching Quality Assurance (TQA) Manual Quality Review Framework.

Each academic programme in the University is subject to an agreed College assessment and marking strategy, underpinned by institution-wide assessment procedures.

The security of assessment and academic standards is further supported through the appointment of External Examiners for each programme. External Examiners have access to draft papers, course work and examination scripts. They are required to attend the Board of Examiners and to provide an annual report. Annual External Examiner reports are monitored at both College and University level. Their responsibilities are described in the University's code of practice.  See the University's TQA Manual for details.

 

Classification

Full details of assessment regulations for all taught programmes can be found in the TQA Manual, specifically in the Credit and Qualifications Framework, and the Assessment, Progression and Awarding: Taught Programmes Handbook. Additional information, including Generic Marking Criteria, can be found in the Learning and Teaching Support Handbook.

8. College Support for Students and Students' Learning

Please refer to the University Academic Policy and Standards guidelines regarding support for students and students’ learning.

9. University Support for Students and Students' Learning

Please refer to the University Academic Policy and Standards guidelines regarding support for students and students' learning.

10. Admissions Criteria

Undergraduate applicants must satisfy the Undergraduate Admissions Policy of the University of Exeter.

Postgraduate applicants must satisfy the Postgraduate Admissions Policy of the University of Exeter.

Specific requirements required to enrol on this programme are available at the respective Undergraduate or Postgraduate Study Site webpages.

11. Regulation of Assessment and Academic Standards

Each academic programme in the University is subject to an agreed College assessment and marking strategy, underpinned by institution-wide assessment procedures.

The security of assessment and academic standards is further supported through the appointment of External Examiners for each programme. External Examiners have access to draft papers, course work and examination scripts. They are required to attend the Board of Examiners and to provide an annual report. Annual External Examiner reports are monitored at both College and University level. Their responsibilities are described in the University's code of practice. See the University's TQA Manual for details.

(Quality Review Framework.

14. Awarding Institution

University of Exeter

15. Lead College / Teaching Institution

Faculty of Humanities, Arts and Social Sciences (HASS)

16. Partner College / Institution

Partner College(s)

Not applicable to this programme

Partner Institution

Not applicable to this programme.

17. Programme Accredited / Validated by

Not applicable to this programme.

18. Final Award

BSc (Hons) Crime and Data Science with Study Abroad

19. UCAS Code

M904

20. NQF Level of Final Award

6 (Honours)

21. Credit

CATS credits

360

ECTS credits

180

22. QAA Subject Benchmarking Group

23. Dates

Origin Date

22/09/2022

Date of last revision

07/10/2022