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新香港六合彩开奖结果Module Catalogue

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

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
新香港六合彩开奖结果School of Management
Credit value
15
Restrictions
Module is only available to students on the BSc/MSci Management Science year 1.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

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 work with data sets from a variety of organisations and industries, and will become proficient users of R, an open-source statistical software package used by data scientists around the world.

Module deliveries for 2024/25 academic year

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

Teaching and assessment

Mode of study
In person
Methods of assessment
60% Exam
20% Other form of assessment
20% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
87
Module leader
Dr Rafael Greminger
Who to contact for more information
mgmt-undergraduate@ucl.ac.uk

Last updated

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

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Sustainability

For a list of modules related to climate change as well as social and environmental sustainability at UCL, type 'climate' or 'sustainability' into the search. Visit Sustainable UCL for information on extra-curricular activity on sustainability.

Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

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