Module manager: Prof Bill Gerrard
Email: W.J.Gerrard@lubs.leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2017/18
A-Level Mathematics or Statistics Grade B
| LUBS1540 | Introduction to Business Analytics |
This module is not approved as a discovery module
This module introduces you to business analytics - defined as the use of statistical analysis (and related techniques) to support an evidence-based approach to management decision making. The different stages in the analytics process are examined using case studies and practical applications.
The module aims to give students an introduction to business analytics defined as the use of statistical analysis (and related techniques) to support an evidence-based approach to management decision making.
Upon completion of this module students will be able to:
- Distinguish and characterise the nature of business analytics
- Describe accurately the different stages in the analytics process
- Recognise and apply alternative analytical approaches used in business analytics
- Describe and contextualise the requirements for effective evidence-based practice in the business environment
Upon completion of this module students will be able to:
Transferable
- Write and communicate effectively
- Explain the importance of ethics, integrity and responsibility in undertaking data analysis
Subject Specific
- Research structured business problems with the ability to identify the critical factors involved
- Apply statistical tools accurately to analyse structured business problems
- Critically evaluate and interpret the results of data analysis in structured business problems
Indicative content
Evidence-based practice
The 3 D’s of business analytics
The Analytical DELTA model
Big-data analytics
Databases and data warehouses
Data visualisation
Alternative analytical approaches and applications
Web-based analytics
Case studies of analytics in action
Ethical issues in data analysis
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 11 | 1 | 11 |
| Tutorial | 9 | 1 | 9 |
| Private study hours | 80 | ||
| Total Contact hours | 20 | ||
| Total hours (100hr per 10 credits) | 100 | ||
Private study
2 hours reading per lecture = 22 hours
2 hours preparation per tutorial = 18 hours
Assessed coursework = 40 hours
Total private study = 80 hours
Student progress will be monitored principally by tutorial performance. Selected tutorial assignments will be submitted in advance and marked to provide feedback on student progress.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Essay | 2000 words | 100 |
| Total percentage (Assessment Coursework) | 100 | |
Resit will be 100% by coursework.
The reading list is available from the Library website
Last updated: 04/12/2017
Errors, omissions, failed links etc should be notified to the Catalogue Team