This module considers how the end of the Cold War and the ‘bipolar world’ dominated by the US and the Soviet Union has affected American foreign...

Post-Cold War US Foreign Policy (AMER0012)

This is a course for students who have successfully completed Bulgarian Level 1. Students who complete the course successfully will attain a level of...

Bulgarian Language Level 2b-Production Affiliates (SEEB0016)

This is a course for students who have successfully completed Bulgarian Level 1. Students who complete the course successfully will attain a level of competence in Bulgarian which will enable them to communicate effectively in a wide range of situations.

Students registered for other degrees may take just the comprehension component, but may not take the production component on its own.

Intermediate Thermodynamics and Fluid Mechanics A (MECH0012)

Description

This course introduces postgraduate students to a range of quantitative research methods that are commonly used within contemporary human...

Social Science Research: Methodologies and Methods (GEOG0155)

Description

This course introduces postgraduate students to a range of quantitative research methods that are commonly used within contemporary human geography. It is designed to equip first year graduate students with the knowledge, confidence and technical skills that are needed to complete a substantive piece of independent quantitative research in any area of human geography.

This is an introductory module and no prior familiarity with quantitative research methods or with software is assumed. Enrolment on this module is restricted to Geography MSc students only.

Indicative module topics include:

The philosophical underpinnings of quantitative social science
	How to design a successful quantitative research project
	How to use statistical software to import and prepare datasets
	Describing and exploring data using descriptive statistics, graphs and maps
	Using statistical tests, statistical models and Geographic Information Systems (GIS) to analyse various types of social science datasets
These indicative topics may be subject to variation depending on developments in academic research and the interests of the class.

Teaching delivery 

The course is taught through a blend of instructor-led content and computer practical exercises supported by online resources.

Students completing the course will:

Be able to devise research questions, hypotheses and research strategies to address them using numerical data
	Understand how to conduct quantitative research through the interrogation of a range of datasets using descriptive statistics, statistical tests, statistical models and Geographic Information Systems (GIS)
Skills development

Students completing the course will develop the following transferable careers skills:

Critical thinking, particularly with regards to numerical data analysis
	Written and oral communication skills
	Expertise with GIS, statistical analysis and numerical modelling
	Coding
	Experience working in groups
 