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Big Data and Business Analytics (BCPM0090)

Key information

Faculty
Faculty of the Built Environment
Teaching department
Bartlett School of Sustainable Construction
Credit value
15
Restrictions
This module is only available to students enrolled on the MSc Digital Engineering Management programme.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

The rise of digital engineering in the built environment provides not only a source of big data but also computational methodologies to harvest and analyse it. In this module you will be introduced to the fundamentals of business data analytics for decision-making. Organisational strategy in the area of digital engineering is closely linked to business analytics, as the industry becomes data-intensive. This module aims to provide you with a deep understanding of quantitative techniques for harvesting, cleaning, classifying, clustering, modelling and presenting data to support strategic and data-driven decision-making. The module will equip you with the intellectual and practical analytical skills to analyse business process and inform strategic decision-making.

At the end of this module you will be able to:

  • Understand concepts, ideas, constructs of data, databases and data analytics
  • Understand principles of machine learning
  • Understand concepts and implementation of networks analytics
  • Identify and evaluate applications for data analytics in logistics and strategy
  • Critically utilise data analytics to investigate management concepts
  • Develop critical analytic thinking for strategic decision-making

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Intended teaching location
ÐÂÏã¸ÛÁùºÏ²Ê¿ª½±½á¹ûEast
Methods of assessment
100% Fixed-time remote activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
11
Module leader
Dr Carlos Galera Zarco
Who to contact for more information
bssc.enquiries@ucl.ac.uk

Last updated

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

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