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2016/17 Undergraduate Module Catalogue
LUBS1540 Introduction to Business Analytics
10 creditsClass Size: 120
Module manager: Prof Bill Gerrard
Email: w.j.gerrard@lubs.leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2016/17
Pre-requisite qualifications
LUBS1535 Excel for Business AnalyticsOr
LUBS1525 Analytical Methods
This module is mutually exclusive with
| LUBS1530 | Business Analytics 1 |
This module is approved as a discovery module
Module summary
This module introduces business analytics defined as the use of statistical analysis and related techniques to support an evidence-based approach to management decision making.Objectives
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.Learning outcomes
Learning Outcomes - Knowledge/Application
Upon completion of this module students will be able to demonstrate accurate, in-depth and thorough knowledge of:
1. The nature of business analytics
2. The different stages in the analytics process
3. The alternative analytical approaches used in business analytics
4. The requirements for effective evidence-based practice in the business environment
Learning Outcomes - Skills
Upon completion of this module students will be able to:
Subject specific
1. Research structured business problems with the ability to identify the critical factors involved
2. Apply statistical tools accurately to analyse structured business problems using Excel
3. Critically evaluate and interpret the results of data analysis in structured business problems
Transferable
1. Write and communicate effectively
2. Demonstrate an awareness of ethics, integrity and responsibility in undertaking data analysis
Skills outcomes
Upon completion of this module students will be able to:
1. Research structured business problems with the ability to identify the critical factors involved
2. Apply analytical tools accurately to analyse structured business problems
3. Critically evaluate and interpret the results of data analysis in structured business problems
Syllabus
Indicative content:
1. Business analytics and evidence-based practice
2. Davenport’s five-stages model of analytical competitors
3. Understanding the data architecture of an organisation
4. Using Microsoft Access
5. Cleaning up the data
6. Further data visualisation with Microsoft Excel
7. Choosing the best modelling approach
8. Delivering the deliverables
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Lecture | 11 | 1.00 | 11.00 |
| Tutorial | 9 | 1.00 | 9.00 |
| Private study hours | 80.00 | ||
| Total Contact hours | 20.00 | ||
| Total hours (100hr per 10 credits) | 100.00 | ||
Private study
Private study2 hours reading per lecture = 22 hours
2 hours preparation per tutorial = 18 hours
Assessed coursework = 40 hours
Total private study = 80 hours
Opportunities for Formative Feedback
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.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Essay | 2000 words | 100.00 |
| Total percentage (Assessment Coursework) | 100.00 | |
Resit will be assessed by the same methodology as the first attempt.
Reading list
The reading list is available from the Library websiteLast updated: 29/04/2016
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