UCL Module Catalogue


Data Analytics I (Statistics and Data Mining) (MSIN0010)

Key information

Faculty of Engineering Sciences
Teaching department
UCL School of Management
Credit value
Module is only available to students on the BSc/MSci Management Science year 1

Alternative credit options

There are no alternative credit options available for this module.


This module introduces students to how organisations use data and analytics to create value and improve performance, trains them to use selected statistical data analytics and data mining tools, and introduces them to elements of the statistical theory and algorithms that underpin those tools.


The context for the module is management in complex, innovation-intensive, data-driven environments. The explosion in the volume and range of internal and external data available to managers and the development of new data analytics tools is having a major impact on how people identify, formulate and solve management problems.


During the module, students will manipulate example data sets and use basic data collection tools and APIs to source data from publicly available data sources.

Module deliveries for 2020/21 academic year

Intended teaching term: Term 1     Undergraduate (FHEQ Level 4)

Teaching and assessment

Mode of study
Methods of assessment
60% Unseen two-hour written examination
20% Group coursework (2,000 words)
20% Coursework (3-4 problem sets)
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
Module leader
Dr Adam Smith
Who to contact for more information

Last updated

This module description was last updated on 5th March 2020.