Quantitative Methods for Science, Social Science and Medicine PGDip
We offer a range of pathways for this MSc/PgDip suite of courses. All are designed to provide you with a solid foundation in the theory and application of statistical methods for the natural, social and health sciences.
You study substantive theory, research methods, data collection (including how to use data from large government social surveys) and statistical analysis (including software packages R, SPSS and STATA) and explore the application of this knowledge in a range of areas. Modules are taught in short intensive blocks, making this programme ideal for part-time study.
The specialist pathways offered are Scientific Research Methods, Crime and Social Statistics, Statistical Methods for Health Research, Teaching Statistics (based on your choice of optional modules).
Compulsory modules:Statistical InferenceSampling DesignQuestionnaire DesignSecondary Data AnalysisStatistical InferenceGeneralised Linear ModelsSecondary Data AnalysisMulti-Level Models
(may vary from year-to-year)Bayesian MethodsDuration (Survival) AnalysisMethods for Missing DataData Mining TechniquesStructural Equation ModellingEvent History AnalysisClinical TrialsPrinciples of EpidemiologyStatistics in PracticeQuantifying and Evaluating Forensic EvidenceQuantitative CriminologyTeaching Statistics
- Applied Social Statistics : PhD
- Data Science : MSc
- Mathematics : PhD
- Quantitative Methods for Science, Social Science and Medicine : MSc
- Quantitative Methods for Science, Social Science and Medicine : PGCert
- Statistics : MSc
- Statistics : PGDip
- Statistics : PhD
- Statistics and Operational Research (STOR-i) : MRes
- Statistics and Operational Research (STOR-i) : PhD
Search Our Courses
For Entry: 2015
Director of Studies:Dr Gillian Lancaster.
Duration:9months full-time, or 21 months part-time.
Entry requirements:Upper second class honours degree, or its equivalent, in Mathematics, a Social Science or other related discipline, or relevant professional qualification and experience.
IELTS:6.5 or equivalent.
Assessment:Coursework, examination, in depth dissertation.
Funding:All applicants should consultwww.lancs.ac.uk/pgfunding/
Duration: Full time 12 Month(s), Part time 21 Month(s)
Department: Mathematics and Statistics
Phone: +44 (0)1524 593964
For information on the course structure as followed by our current students, please see Lancaster University's Online Courses Handbook