Course Details in 2024/25 Session

Module Title	LM Business Analytics
School	Birmingham Business School
Department	Accounting
Module Code	07 36323
Module Lead	Dan Herbert
Level	Masters Level
Credits	20
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Lecture-24 hours Project supervision-2 hours Practical Classes and workshops-24 hours Supervised time in studio/workshop-50 hours Guided independent study-100 hours Total: 200 hours
Exclusions
Description	In this module students will be introduced to the theory and practice of business analytics. Assuming no prior knowledge students will build their personal skills in undertaking analytics tasks and their underlying of the aims, objectives and uses of analytics. The underlying rationale for and the uses of data in business situations will form the core of the module. Alongside this work students will develop practical data analytics skills. These skills will include developing the ability to undertake data analytics tasks using industry standard analytics packages to clean, process and visualise data sets. In particular students will be able to learn Tableau and undertake the Tableau Desktop Certified Associate assessment (this is voluntary and will not form part of the module assessment). Students will learn how and when to use common analytics techniques and the principles of predictive analytics.
Learning Outcomes	By the end of the module students should be able to: Critically evaluate the use of analytics tools to inform business decision making Select, apply and evaluate common analytics techniques and implement them using appropriate software tools Communicate complex data to a range of users and to critically evaluate visual data communications Develop solutions to analytics problems
Assessment	36323-01 : Python coding task portfolio : Coursework (20%) 36323-02 : Group Tableau data analytics and visualisation project : Coursework (50%) 36323-03 : Individual Essay : Coursework (30%)
Assessment Methods & Exceptions	Assessment: Analytics task portfolio (20%), Group data analytics & visualisation project (50%) and Individual essay (1000 words) (30%) Reassessment: Analytics task portfolio (20%) and Individual data analytics and visualisation project with critical self-evaluation (80%)
Other
Reading List