Dennis Prangle Phd in Statistics
Marine tank used to gather data for research
“After several years working in industry, I decided that the most interesting part of my job was using my mathematical skills to investigate statistical problems and began to consider a career change. The good reputation of its MSc in Statistics led me to choose to study in Lancaster, and I found it a rewarding, and sometimes challenging, experience that left me well equipped with the theoretical and practical tools for a career in statistics. I was impressed by the expertise, facilities and friendliness of the department, and it felt natural to stay on for a PhD.”
“Lancaster has a large statistics department with many eminent researchers and a thriving community of postgraduate students who are made to feel like a full part of the department, for both research and social activities, and I would recommend it as an excellent place to study.”
PgCert in Applied Social Statistics
Director of Studies: Dr Juliet Harman. Duration: 12 months part-time. 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: Coursework. IELTS: 6.5 Funding: See page 213. Further Information:
www.maths.lancs.ac.uk
This Postgraduate Certificate can be obtained by successfully completing an approved combination of taught modules or alternatively, the distance-learning module in Teaching Statistics up to Pre-University level.
A number of core modules are compulsory, and you can then choose from a range of optional modules.
Compulsory modules
Methodological debates in the social sciences Sampling theory Questionnaire design Secondary data analysis Statistical inference Generalised linear models Applied social science research – an integration Bayesian methods Duration analysis
Methods for missing data Multi-level models
Typical optional modules Data mining techniques Structural equation modelling Event history analysis Atlas.ti
SPSS for Windows: I & II STATA
Clinical trials
Principles of epidemiology Statistics in practice
Quantifying and evaluating forensic evidence Quantitative criminology Teaching statistics up to pre-university level
198 Science and Technology
RESEARCH DEGREES The Department welcomes applications from those seeking to undertake MPhil or PhD research degrees.
MPhil/PhD in Statistics MPhil/PhD in Pure Mathematics
Entry Requirements: Applicants should hold an upper second class honours degree, or its equivalent, in Mathematics, Statistics, or a combination of the two. Assessment: Original research and thesis. IELTS: 6.5 Funding: EPSRC Studentships and Enhanced Stipend Awards (Statistics); Faculty Studentships - see also page 213. Further Information:
www.maths.lancs.ac.uk
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 also provide a programme of graduate lectures on topics of current research interest, and are Founder members of the APTS and MAGIC Schemes which provide PhD level courses in statistics and mathematics.
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