Course Details in 2026/27 Session

Module Title	LH Business Analytics
School	Birmingham Business School
Department	Accounting
Module Code	07 39182
Module Lead	Natalie Al-Samarrai
Level	Honours Level
Credits	20
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Lecture-30 hours Project supervision-30 hours Guided independent study-140 hours Total: 200 hours
Exclusions
Description	The module will introduce core concepts including but not limited to business intelligence, predictive analytic techniques, visualisation, big data and machine learning.
Learning Outcomes	By the end of the module students should be able to: Critically evaluate the potential of analytic techniques in addressing business issues Discuss ethical and privacy issues as they relate to analytics, machine learning and AI Critically evaluate the role of big data in business Select, evaluate and apply data extraction techniques to real-world datasets. Critically appraise techniques used for data cleaning, manipulation, and analysis and apply these techniques to real-world datasets using industry standard software tools Select and implement techniques for data visualisation and apply this to real-world datasets.
Assessment
Assessment Methods & Exceptions	Assessment: Coursework: Individual assignment analytics task with critical commentary: (75%) – 2000 words. Group Presentation: Case study and presentation (25%) – 1000 words Reassessment: By failed component: Individual assignment analytics task with critical commentary: (75%) – 2000 words. Individual written task (25%) – max 1000 words
Other
Reading List