Social Policy with Quantitative Methods – Degree Programme Table |
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Semester 1 |
Semester 2 |
Year 1 |
Social Policy & Society |
Politics of the Welfare State |
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Mathematics for Social Science |
Introduction to Statistics for Social Science |
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40 credits outside subjects |
Year 2 |
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European Social Policy |
Social Policy Enquiry |
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20 credits outside |
Doing Social Research with Statistics |
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40 credits outside subjects |
Year 3 |
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DDSR |
Analytical Perspectives in Social Policy |
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Statistical Modelling |
Advanced QM Option |
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40 credits Social Policy options level 10 |
Year 4 |
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Advanced QM Option |
Advanced QM Option or Social Policy level 10 |
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40 credits Social Policy options level 10 |
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Dissertation 40 credits or Placement-based Dissertation |
Notes: 60 – 80 credits for ‘with’ degree.
New QM courses
Year 1 & 2, Semester 1, Mathematics for Social Science
Learning objectives:
- Social science problem solving with formal mathematic thinking
- To cover the following topics
- Gradients, equations and graphs of straight lines
- Linear Regression
- Graphs of quadratic functions, the solution of quadratic equations by computing the square and by the formula
- Exponential and Logarithmic functions
- Radian measure and trigonometric functions
- Differentiation
- Curve Sketching
- Integration
- Differential equations
- Calculus of more than one variable
- Vectors
- Matrices
- Eigenvalues and eigenvectors
- Principal components
Year 1 & 2, Semester 2, Introduction to Statistics for Social Scientists
Learning objectives:
- Social science problem solving with formal mathematic thinking
- To cover the following topics
- Gradients, equations and graphs of straight lines
- Linear Regression
- Graphs of quadratic functions, the solution of quadratic equations by computing the square and by the formula
- Exponential and Logarithmic functions
- Radian measure and trigonometric functions
- Differentiation
- Curve Sketching
- Integration
- Differential equations
- Calculus of more than one variable
- Vectors
- Matrices
- Eigenvalues and eigenvectors
- Principal components
Year 1 & 2, Semester 2, Introduction to Statistics for Social Scientists
Learning objectives:
- Basic SPSS skills, including graphical skills
- Introduction to secondary data access and management
- Understanding of measures of association
- Appreciation of the difference between association and causality
- An understanding of inference and the logic of sampling
- Communicating basic statistics
- The concept of control
- Being able to construct 3 way cross-tabulations
- An introduction to regression analysis
Year 2, Semester 2, Doing Social Research with Statistics
Pre-requisite: Introduction to Social Statistics for Social Scientists or conversion course
Learning objectives:
- Data reduction techniques
- Digital social research
- Logistic regression
- Using alternative software to SPSS
- Ethics of survey fieldwork
Year 3, Semester 1, Statistical Modelling
Pre-requisite: Doing Social Research with Statistics
Learning objectives:
- Multinomial and ordinal regression
- Count data
- Event history techniques
- Log linear modelling
Honours options, semester long options (20 credits)
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.
Indicative Honours Options 2016-2014 (not all options are available in any given year)
Please note that all these courses are available to Social Policy students but are NOT all run by Social Policy
Progression:
Y1 |
Students must pass all subjects. |
Y2 |
A pass in six courses overall, with a mark of 50% or more in required courses. |
Y3 |
End of semester degree examinations |
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Students with sufficient credits may exit at end of Year 3 with BA Humanities and Social Science. Students who choose not to continue after year 3 of the Honours programme may also, with the discretion of the examination board, be awarded the BA. |
Y4 |
Degree classification based on performance in 240 credits courses taken in Y3 and Y4, assessed in the year they are taken. |
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