Key information
- Faculty
- Faculty of Engineering Sciences
- Teaching department
- Security and Crime Science
- Credit value
- 15
- Restrictions
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The module is restricted to students of the Department of Security and Crime Science. Any student who is not on the MSc Crime Science with Data Science will have to email the department and the module convenor with a brief statement on why they want to take the module and confirming their suitability.
- Timetable
-
Alternative credit options
There are no alternative credit options available for this module.
The module focusses on methods of multivariate analysis to extract trends and patterns from large datasets, and to examine various relationships within them. It also covers measurement strategies and causal inference in both experimental and observational studies. Students will learn how to employ multivariate analysis as an investigative statistical tool within multidisciplinary contexts, providing a specific analytical skillset sought after in both academia and industry.
The course is intended for students with a more advanced background in research methods, inferential statistics, and data analysis. Students are advised to contact the module convenor in advance if they have any queries related to the level required.听
Module deliveries for 2024/25 academic year
Intended teaching term:
Term 1 听听听
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
50%
Coursework
50%
Dissertations, extended projects and projects
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
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10
- Module leader
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Dr Krisztian Posch
- Who to contact for more information
- scs-teaching@ucl.ac.uk
Last updated
This module description was last updated on 8th April 2024.
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