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Research Methods in Data Analysis in Science and Technology Studies (HPSC0126)

Key information

Faculty
Faculty of Mathematical and Physical Sciences
Teaching department
Science and Technology Studies
Credit value
15
Restrictions
N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module introduces students to the theory and practice of research methods in STS and social sciences. It covers research design; qualitative and quantitative methods; research management and ethics; and the epistemology of social research. The module is strongly recommended for any students wanting to undertake empirical social science research for their dissertation and later in their career. It also is strongly recommended for students who want to familiarise themselves with how social scientists (particularly within STS) undertake research. For students wishing to apply for ESRC +3 PhD funding, this module is designed to cover the core training requirements specified within Annex I of the .

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Undergraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
30% Viva or oral presentation
65% Other form of assessment
5% In-class activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
1
Module leader
Dr Emily Dawson
Who to contact for more information
sts-aa@ucl.ac.uk

Intended teaching term: Term 1 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
30% Viva or oral presentation
65% Other form of assessment
5% In-class activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
19
Module leader
Dr Emily Dawson
Who to contact for more information
sts-aa@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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