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Statistics and Data Visualisation - MAN00172M

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  • Department: The York Management School
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2025-26

Professional requirements

N/A

Module will run

Occurrence Teaching period
A Semester 1 2025-26

Module aims

The module covers a range of concepts in statistics, mathematics, and programming, aiming to provide students with necessary background knowledge for studying topics in business analytics at postgraduate level. There is a strong practical aspect involving analysing data and communicating the corresponding results and conclusions.

Module learning outcomes

After successful completion of the module students will able to:
Subject content
  • An introduction into essential mathematics for data analysis.
  • Apply mathematical and statistical methods to solve apposite problems in business analytics.
  • Use probabilistic concepts to define and understand existing statistical models;
  • Use statistical knowledge to critically discuss statistical results and conduct your own statistical analyses of data;
  • Use software (Excel, Eviews, Python, R, or other) to perform statistical analysis.

Academic and graduate skills
  • Present analyses of data in a logical, rigorous, and concise way;
  • Conduct logical reasoning from assumptions to conclusion;
  • Critically assess assumptions necessary to draw certain conclusions.

Module content

An introduction to Mathematics for data analysis.
Probability concepts: random variables, probability distributions and moments.
Statistical concepts: summary statistics, point estimation, confidence intervals and hypothesis testing.
Linear regression analysis.
Other forms of Regression analysis.
Wrangle messy data into tidy forms
Summarise and visualise data

Indicative assessment

Task % of module mark
Essay/coursework 50.0
Essay/coursework 50.0

Special assessment rules

None

Indicative reassessment

Task % of module mark
Essay/coursework 50.0
Essay/coursework 50.0

Module feedback

Students have access to feedback on individual assessments. General cohort assessment feedback is posted on the VLE after the marking is complete.

Indicative reading

TBC


The information on this page is indicative of the module that is currently on offer. The University constantly explores ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary. In some instances it may be appropriate for the University to notify and consult with affected students about module changes in accordance with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.