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MSc/MRes/PgDip in Applied Social Statistics
Director of Studies: Dr Juliet Harman.
Duration: 12 months full-time or 24 months part-time (MSc/MRes);
9 months full-time or 21 months part-time (PgDip).
Entry Requirements: At least an upper second class honours degree,
or its equivalent, in mathematics, a social science or other related
discipline, or a relevant professional qualification and experience.
Assessment: Combination of coursework and report/dissertation.
IELTS: 6.5
Funding: ESRC Studentships (MRes) - see also page 196.
Further Information:
www.maths.lancs.ac.uk
These courses provide a thorough training in the applications of
statistics to a wide range of problems in the social sciences through
a distinctive combination of leading-edge methodology and
Marine tank used to gather data for research
practical techniques. You can tailor the training programmes
according to your own requirements and research interests. Each
course is designed to provide you with a firm grounding in the joint
PgCert in Applied Social Statistics
roles of substantive theory, data collection and statistical analysis.
You are encouraged to explore ways in which this knowledge can
Director of Studies: Dr Juliet Harman.
be applied to study economic, sociological and management issues.
Duration: 12 months part-time.
The policy implications of quantitative social science research are
also considered.
Entry Requirements: At least an upper second class honours degree,
or its equivalent, in mathematics, a social science or other related
The MRes is aimed at students who intend to continue
discipline, or a relevant professional qualification and experience.
postgraduate study towards a PhD.
Assessment: Coursework.
IELTS: 6.5
Taught modules are delivered in block mode where all material is
Funding: See page 196.
covered in an intensive one to two days of lectures, tutorials and
Further Information:
www.maths.lancs.ac.uk
seminars. A number of core modules are compulsory, and you can
then choose from a range of optional modules.
This Postgraduate Certificate can be obtained by successfully
completing the following taught modules: methodological debates
Compulsory modules
in the social sciences; applied social science research – an
Methodological debates in the social sciences
integration; generalised linear models, multi-level models. Plus an
Sampling theory
approved combination of optional modules. Those with little or no
Questionnaire design
previous quantitative training would be required to take the
Secondary data analysis
Statistical inference module.
Statistical inference
Generalised linear models
RESEARCH DEGREES
Applied social science research – an integration
The Department welcomes applications from those seeking to
Bayesian methods
undertake MPhil or PhD research degrees.
Duration analysis
Methods for missing data
MPhil/PhD in Statistics
Multi-level models MPhil/PhD in Pure Mathematics
Techniques of social research (MRes only)
Textual analysis (MRes only) Entry Requirements: Applicants should hold an upper second class
honours degree, or its equivalent, in Mathematics, Statistics, or a
Typical optional modules combination of the two.
Data mining techniques Assessment: Original research and thesis.
Structural equation modelling IELTS: 6.5
Event history analysis Funding: EPSRC Studentships and Enhanced Stipend Awards; Faculty
Atlas.ti and University Research Studentships - see also page 196.
SPSS for Windows: I & II Further Information:
www.maths.lancs.ac.uk
STATA
The Department has the largest cohort of statistics PhD students in
the UK. Each research student has a formal weekly meeting with
their supervisor, but in most cases this is supplemented by more
frequent, informal contact. New research students may need to
extend their undergraduate training by attending lecture courses or
undertaking directed reading as agreed with their supervisor. We
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