External summary

The Government, Policy and Society with Quantitative Methods Programme is specifically designed for students interested in the content of public policy, the process by which policy is made, and its impact on society. If you are fascinated by how politicians and civil servants make decisions; how they are constrained by resource constraints, developments in the global economy, market forces and existing institutions; how crucial areas of social policy, such as health, education, inequality, welfare and employment are shape; the relationship between government and society; the ways in which various non-governmental actors try to influence policy; and how quantitative evidence might cast light on all these questions, then this is the programme for you. GPS with QM allows students to engage with core debates that divide political opinion on how to develop societies positively. GPS with QM is committed both to interdisciplinary learning and to understanding the interactions of multiple levels of government in the policy process. Students will be enabled to do so by engaging with core concepts from diverse social science disciplines such as political science, social policy, sociology, economics, and public administration and then be able to specialise in specific policy areas of their interest. And our expertise covers Scotland, the UK, the European Union, and the international as well as the linkages between these levels of government. Learning about the workings of government and the development of policy in the capital of a powerful sub-state is a highly enriching experience. This degree has been developed as a strategic response to employers’ request to have more quantitatively trained graduate social scientists. Students with quantitative skills integrated with an understanding of social policy are very attractive to a range of employers, as they will be able to effectively engage with and produce social statistics.

Educational aims of programme

• To provide a sound and working knowledge of the use of statistics in social science at an advanced level;
• A strong understanding of how public policy is developed and what policy making processes entail
• An appreciation of the complexity of the pathways that affect policy making requiring cross-disciplinary perspectives to understand how government decisions in the policy process affect society
• An understanding of the importance of comparative policy analysis in the investigation of how policy is made and of its impact on society
• A sound knowledge of the major fields of study within contemporary social policy
• Substantive knowledge of a range of areas of social policy analysis and the empirical evidence – especially the statistical evidence – underlying them, informed by an active research culture
• The ability to understand, evaluate and use a range of theoretical frameworks from contemporary social policy
• The ability to use both quantitative methods to collect, evaluate and interpret empirical evidence, and undertake independent research, and the ability to understand how quantitative evidence interacts with qualitative evidence
• The capacity to apply social policy knowledge and knowledge about public policy processes to the understanding and evaluation of social issues and problems in the contemporary world
• Key generic skills in critical thinking, evaluation of evidence, conceptual analysis, logical argument and oral and written communication.

Programme outcomes: Knowledge and understanding

On completing the programme students should be able to:

• Demonstrate knowledge and understanding of the use of maths in social science
• Demonstrate a working knowledge of advanced statistics for social science
• Demonstrate knowledge and understanding of key concepts and theoretical approaches within Social Policy
• Demonstrate knowledge and understanding of key concepts and theoretical approaches in public policy analyses
• Demonstrate a working knowledge of being able to apply their knowledge on policy areas and about the policy process to the engagement of concrete policy problems
• Understand the relationship between policy argument and empirical evidence
• Use of a range of research strategies and methods to gain knowledge relevant to the analysis of policy problems that can engage with the content of the problem as well as the policy process within which it is situated.

How is this accomplished?

• Compulsory and optional elements in the curriculum ensure coverage of the points above
• Course handbooks, lectures, lecture handouts, tutorials, statistical lab sessions, seminars, and presentations, delivered face to face, via hard copy or electronically, are the key channels for dissemination of knowledge and guidance to further reading and research
• Content and assessment of courses and the requirements of the compulsory project/dissertation ensure cumulative knowledge and critical engagement with key concepts, theoretical approaches and research strategies within public policy analyses and contemporary social capital issues
• Essays, examinations, oral presentations, statistical lab sessions and project work require independent reading and research beyond knowledge and understanding provided in the classroom
• Essays, examinations, oral presentations, contributions to statistical lab sessions and project work encourage application of alternative and comparative perspectives on and explanations of social phenomena, the weighing of evidence and argument and the identification of what is distinctive about a policy explanation;

Programme outcomes: Graduate attributes - Skills and abilities in research and enquiry

Graduates will be able to create new knowledge and opportunities for learning through the process of research and enquiry, including the abilities to:

• Undertake advanced quantitative analysis of data
• Draw on a range of available constructions to develop policy making procedures in specific contexts
• Evaluate, critique, and build on the work of social policy scholars
• Evaluate and critique policy documents from policy-making bodies
• Critically appraise policy decision making processes in terms of their societal legitimacy, effectiveness, transparency and inclusivity
• Contribute to strategies of different actors within the policy process, including government, private and third sector actors
• Discuss and assess empirical evidence and theoretical argument in a clear and reasoned way
• Apply different theories to the interpretation and explanation of social processes or structures
• Understand the ethical implications of social enquiry
• Select and use appropriate methods of social scientific enquiry, to identify a range of different research strategies and methods and to comment on their relative advantages and disadvantages
• Apply quantitative and qualitative methods to any research enquiry
• Judge the value and relevance of empirical evidence and theoretical argument and interpretation in social study
• Plan and carry out a research project and report its findings appropriately
• Creatively and constructively identify and design ways of solving problems with a social dimension
• Recognise, build on, and transcend the boundaries of the various social science disciplines – their empirical methods and their analytical traditions - in the pursuit of publicly useful knowledge.

Programme outcomes: Graduate attributes - Skills and abilities in personal and intellectual autonomy

• Be independent learners who take responsibility for their own learning and are committed to continuous reflection, self-evaluation and self-improvement
• Be able to sustain intellectual interest by remaining receptive to both new and old ideas, methods, and ways of thinking
• be able to make decisions on the basis of rigorous and independent thought, taking into account ethical and professional issues
• be able to use collaboration and debate effectively to test, modify and strengthen their own views
• be able to respond effectively to unfamiliar problems in unfamiliar contexts
  have a personal vision and goals and be able to work towards these in a sustainable way

In addition to the above these will be accomplished through:

• requirements for tutorials and group work to focus on students’ own reading, practical work and
• application of knowledge to the solution of specific policy problems,
• requirements for completing written and oral coursework assignments independently;
• requirements for planning carrying out and writing up the research project within a given timetable;
• requirement for self directed study guided by course reading lists;
• requirements to for students to manage their time effectively to meet deadlines.

Programme outcomes: Graduate attributes - Skills and abilities in communication

Graduates will recognise and value communication as the tool for negotiating and creating new understanding, collaborating with others, and furthering their own learning, including the abilities to:
make effective use of oral, written and visual means to critique, negotiate, create and communicate understanding;
use communication as a tool for collaborating and relating to others;
further their own learning through effective use of the full range of communication approaches;
seek and value open feedback to inform genuine self-awareness;
recognise the benefits of communicating with those beyond their immediate environments;
use effective communication to articulate their skills as identified through self-reflection.

In addition to the above these will be accomplished through:

requirements for and feedback on effective individual and group oral presentation and communication in tutorials, statistical lab sessions and seminars;
assessed tutorial participation in some tutorials;
the requirements to communicate and present quantitative evidence effectively in core courses;
the requirement to design, carry out and report on a research project, and feedback on it.

• requirements for and feedback on individual and group oral presentations in seminars (when applicable);
• requirements for and feedback on group project work for seminars (when applicable).
  assessed tutorial participation in some tutorials;
• the requirements to communicate and present quantitative evidence effectively in core courses;
• the requirement to design, carry out and report on a research project, and feedback on it.

Programme outcomes: Graduate attributes - Skills and abilities in personal effectiveness

Graduates will be able to effect change and be responsive to the situations and environments in which they operate, including the abilities to:

• make constructive use of social analysis skills in personal, professional, and community life;
• apply understanding of social risks, in relation to diverse stakeholders, while initiating and managing change;
• be both adaptive and proactively responsive to changing social contexts;
• have the confidence to make decisions based on their understandings and their personal and intellectual autonomy;
• transfer their knowledge, learning, skills and abilities from one context to another;
• understand and act on social, cultural, global and environmental responsibilities, and help others to do the same;
• be able to work effectively with others, capitalising on their different thinking, experience and skills;
• be able to make effective use of empirical evidence in contexts where evidence of diverse kinds is being debated;
• understand and promote effectively the values of diversity and equity, while also recognizing possible trade-offs between these.
  

How is this accomplished?

By the combination of skills acquired at University, listed above.

Programme outcomes: Technical/practical skills

• Library
• IT
• Research skills
• Use of Statistical Package for the Social Sciences (SPSS) and other data processing software and word processing packages
• Presentation skills and using presentation software
• Awareness of data, its sources and uses

Programme structure and features

Core courses (taken by all GPS with QM students)
Specialisation courses: [Pre-honours: Students choose at least 2 out of 3]
Outside courses (pre-honours)

*Students would have the flexibility to take this course in Year 1 or 2
Draft list of honours-level options (agreement for options in other subject areas will be sought)

Honours QM options, semester long options
Pre-requisite: Statistical Modelling
Could include: SEM, Multilevel modelling, complex survey, panel data, cross-national models, latent variable techniques etc. Could also include courses shared with Mathematics (with separate tutorials and assessment). The options to be offered will be those which are being used in research in the School.

Progression
Year 1 to Year 2
Must pass (ie earn mark of 40%) all subjects

Year 2 to Year 3
A pass (40%+) in six subjects overall including satisfying requirements for Honours entry. Entry into Honours GPS with Quantitative Methods requires a mark of at least 50% in the required courses listed above

Year 3 to Year 4
End of semester degree examinations
Students with sufficient credits may exit at the end of Year 3 with BA Humanities and Social Science.
Year 4 Degree Classification
End of Semester degree examinations and/or coursework. Degree classification based equally
on performance across Yrs 3 & 4.
Classification based on performance across 12 semester courses or equivalent
(240 credits).

Teaching and learning methods and strategies

not completed

Assessment methods and strategies

not completed

Career opportunities

not completed

Other items

The subject area, together with on course students, external examiners and quality assurance procedures, continually monitors the quality of the organisation, content, and delivery of its teaching with the aim of achieving the highest standards.
- The teaching of the first cohort of students will be the subject of a report to the Nuffield Foundation as a condition of their funding. This will provide further external input on the quality of the programme.
- Opportunities for overseas exchanges in year 3 are possible as long as the student can confirm that they will have the possibility to follow advanced QM options.
- As with the existing QM degree programmes, work placements will be available during the summer of year 3. We consider these to be a USP for the QM programmes. These are 8 week internships, typically with local employers, where the students are able to use their quantitative methods skills in a real world setting. For the duration of the Q-Step funding (currently until October 2018), there is a stipend available for students, but the goal is for all employers to pay students for the work they do, which is the standard model of the University Careers service, with whom we are working closely. The work placements are not a compulsory element of the degree programmes and as such are not credit bearing, although we are working towards an Edinburgh Award being linked with them. We will develop an online reflective learning tool to support students on placements. For the duration of the Q-Step funding, we will employ a placement supervisor to support the Q-Step co-ordinator in the setting up of placements and the application process. Employers will be responsible for the final selection of applicants. For the period beyond Q-Step funding, the Head of School is aware of the need for continued administrative placement support and has indicated that this will be included in strategic planning. We expect numbers to be relatively low (around 10-15 students per year).