Programme And Module Handbook
Course Details in 2026/27 Session

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Module Title LH Business Analytics
SchoolBirmingham Business School
Department Accounting
Module Code 07 39182
Module Lead Natalie Al-Samarrai
Level Honours Level
Credits 20
Semester Semester 2
Restrictions None
Contact Hours Lecture-30 hours
Project supervision-30 hours
Guided independent study-140 hours
Total: 200 hours
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 Methods & Exceptions Assessment:

Individual assignment analytics task with critical commentary: (75%) – 2000 words.

Group Presentation:
Case study and presentation (25%) – 1000 words


By failed component:
Individual assignment analytics task with critical commentary: (75%) – 2000 words.

Individual written task (25%) – max 1000 words

Reading List