Taught course

Quantitative Methods for Science, Social Science and Medicine

Institution
Lancaster University · Mathematics and Statistics
Qualifications
MScPGCertPGDip

Entry requirements

Second class honours degree, or its equivalent, in a related technological subject.

Months of entry

October

Course content

We offer a range of pathways for this MSc/PgDip, 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 and Teaching Statistics (based on your choice of optional modules).

Modules

Compulsory modules:

- Statistical Inference

- Sampling Design

- Questionnaire Design

- Secondary Data Analysis

- Statistical Inference

- Generalised Linear Models

- Secondary Data Analysis

- Multi-Level Models

Optional modules (may vary from year-to-year):

- Bayesian Methods

- Methods for Missing Data

- Data Mining Techniques

- Structural Equation Modelling

Information for international students

IELTS: 6.5 or equivalent.

Fees and funding

www.lancaster.ac.uk/pgfunding/

Qualification and course duration

MSc

part time
24 months
full time
12 months

PGCert

part time
12 months

PGDip

part time
21 months
full time
12 months

Course contact details

Name
Postgraduate coordinator
Email
j.hall2@lancaster.ac.uk
Phone
+44 (0)1524 593964
Fax
+44 (0)1524 592681