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Study information

Programme Specification for the 2023/4 academic year

BSc (Hons) Social Data Science with Study Abroad

1. Programme Details

Programme nameBSc (Hons) Social Data Science with Study Abroad Programme codeUFS4HPSHPS14
Study mode(s)Level 1
Academic year2023/4
Campus(es)Streatham (Exeter)
NQF Level of the Final Award6 (Honours)

2. Description of the Programme

BSc Social Data Science with Study Abroad is a new interdisciplinary programme that combines perspectives from data science and social sciences. In the data science part of the programme you will learn how to analyse data in Python and R, the two most popular programming languages for data science. You will also learn about statistical methods for data analysis. The social science part of the programme covers substantive areas where the data analytic skills can be applied, such as politics, crime, demography and sociology. Social data science is a new and rapidly developing area, with many career opportunities in consultancies, market research companies, journalism, and the public sector.

3. Educational Aims of the Programme

The main educational aims of this programme is to simultaneously provide you with knowledge and skills in several areas. First, you will learn how to use the programming languages R and Python to analyse data. This includes data manipulation, data visualisation, automated data collection, and statistical modelling. Second, you will learn about various research designs and methods employed in the social sciences. Third, you will learn about theories and empirical findings across several social science disciplines and research areas, including sociology, criminology, demography and political science.

In addition to this, this programme will equip you with other specialised and generic skills. We will offer a structured framework of study which ensures that within the time span of the programme every student follows a balanced and complementary range of modules, whilst allowing sufficient choice to ensure that students are able to follow individual areas of learning. We will expose students to different teaching and assessment methods within an appropriate learning environment, supported by feedback, monitoring and pastoral care. The programme will develop a range of academic and personal skills which will prepare students from varied educational backgrounds for employment or further study, which will foster mental agility and adaptability, and which will enable them to deploy their knowledge, abilities and skills in their entirety, displaying balance and judgement in a variety of circumstances.

4. Programme Structure

The BSc Social Data Science with Study Abroad is a 4-year full-time programme of study at Regulated Qualifications Framework (RQF) level 6 (as confirmed against the FHEQ). This programme is divided into 4 stages. Each stage is normally equivalent to an academic year.

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.

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 Faculty website: https://sociology.exeter.ac.uk/current/undergraduatemodules/

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 3of 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 table below.

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 30Yes
SSI1004 Social Problems 15No
SOC1047 Imagining Social Worlds: Qualitative Research 15No

Optional Modules

Select 30 credits from this list of optional modules.

CodeModule Credits Non-condonable?
SOC S1 BSc Soc Data Sci opt 2023-4
POL1019 Power and Democracy 15 No
POL1029 Introduction to Comparative Politics 15 No
SOC1039 Social Issues: Part I - Introducing Crime and Deviance 15 No
SOC1040 Social Issues: Part II - Themes in Criminology 15 No

Stage 2


45 credits of compulsory modules, 75 credits of optional modules

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

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 15No

Optional Modules

Select 75 credits from this list of optional modules.

CodeModule Credits Non-condonable?
SSI2008 Mapping the Social World: Introduction to Spatial Analysis in the Social Sciences [See note a above]15No
SOC2120 Introduction to Open-source Intelligence (OSINT) [See note a above]15No
SOC S2 BSc Soc Data Sci opt 2023-4
SOC2039 Sociology of Family and Gender 15 No
SOC2116 Sociology and Demography of Religion 15 No
SOC2121 Cybercrime 15 No
SSI2001 Learning from Work Experience in Social Sciences 15 No
SSI2006 Immigration in Western Societies 15 No
POL2046 The Economics of Politics 15 No
POL2114 Issues in Modern British Politics 15 No
POL2127 Electoral Politics 15 No
POL2119 Transformations of Social and Political Realities through Smartphones 15 No
SOC2122 Digital Society 15 No

Stage 3


120 credits of compulsory modules

Compulsory Modules

CodeModule Credits Non-condonable?
SSI3999 Year Abroad 120Yes

Stage 4


30 credits of compulsory modules, 90 credits of optional modules

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

Compulsory Modules

CodeModule Credits Non-condonable?
SSI3019 Quantitative Dissertation 30No

Optional Modules

Select 90 credits from this list of optional modules.

CodeModule Credits Non-condonable?
SOC3128 Introduction to Open-source Intelligence (OSINT) [See note a above]15No
SSI3021 Mapping the Social World: Introduction to Spatial Analysis in the Social Sciences [See note a above]15No
SSI3001 Introduction to Social Network Analysis [See note a above]15No
SOC SF BSc Soc Data Sci opt 2023-4
SOC3118 Sociology and Demography of Religion 15 No
SSI3002 Immigration in Western Societies 15 No
POL3136 Political Psychology 30 No
POL3277 Developments in British Politics: Institutions and Behaviour 15 No
SOC3108 Sociology of Family and Gender 15 No
SOC3129 Cybercrime 15 No
SOC3130 Digital Society 15 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 R and Python to analyse social data.
3. Show knowledge of main theories and approaches across a number of social sciences, such as sociology, criminology, and political science.
4. Demonstrate knowledge of empirical research designs and methods employed in the social sciences.
5. 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) is introduced in SSI1004 and then further developed in optional modules in stages 2 and 3. 4) is developed in SSI1005,SOC1047 and SSI2004. 5) is delivered via optional modules in stages 1-3.

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:

6. Draw thematic comparisons between material from different sources.
7. Show awareness of contrasting approaches to research.
8. Understand and demonstrate the different uses of qualitative and quantitative data, and evaluate their relative advantages and disadvantages.
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, organised 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

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

Personal and Academic Tutoring

It is University policy that all departments should have in place a system of academic personal tutors. Their role is to provide you with advice and support for the duration of your programme, and this support extends to signposting you to sources of support and guidance on personal difficulties such as accommodation, financial difficulties and sickness. You can also make an appointment to see individual teaching staff. The role of subject tutors is to support you with your studies in individual modules.

Information on the Faculty Personal Tutoring system, library provision, ELE resources and access to Faculty support services can be found on the Faculty webpages for current students.

Student Staff Liaison Committee (SSLC)

SSLCs enable students and staff to jointly participate in the management and review of the teaching and learning provision.

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) Social Data Science with Study Abroad

19. UCAS Code

L306

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

28/09/2022

Date of last revision

03/07/2023