Statistics and Analytics for Business (MSIN0177)

Key information

Faculty: Faculty of Engineering Sciences
Teaching department: 果冻影院 School of Management
Credit value: 7.5

Restrictions: Module is only available to students on the 果冻影院-PKU MBA programme.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module offers a modern survey of major statistical methods, along with their applications to real world problems ranging from finance, insurance and marketing to the movie industry and sports. The statistical concepts and methods include data visualization, descriptive statistics, probability theory, normal and T distribution, sampling distribution, confidence interval, hypothesis testing, and regression analysis.

Module deliveries for 2024/25 academic year

Intended teaching term: Calendar Year 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study: In person
Methods of assessment: 70% Fixed-time remote activity

30% Coursework
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 49
Who to contact for more information: mgmt-pkumba@ucl.ac.uk

Last updated

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

听

Useful links

Sustainability

For a list of modules related to climate change as well as social and environmental sustainability at 果冻影院, type 'climate' or 'sustainability' into the search. Visit Sustainable 果冻影院 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.

听