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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 Analytics
Or
LUBS1525 Analytical Methods

This module is mutually exclusive with

LUBS1530Business 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 typeNumberLength hoursStudent hours
Lecture111.0011.00
Tutorial91.009.00
Private study hours80.00
Total Contact hours20.00
Total hours (100hr per 10 credits)100.00

Private study

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

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 typeNotes% of formal assessment
Essay2000 words100.00
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 website

Last updated: 29/04/2016

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