2020/21 Undergraduate Module Catalogue

LUBS1530 Business Analytics 1

10 creditsClass Size: 180

Module manager: Prof Bill Gerrard
Email: W.J.Gerrard@lubs.leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2020/21

This module is approved as a discovery module

Module summary

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.

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
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 employed in business analytics using Excel
- Describe and contextualise the requirements for effective evidence-based practice in the business environment

Skills outcomes
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 using Excel to analyse structured business problems
- Critically evaluate and interpret the results of data analysis in structured business problems

Syllabus

Indicative content:

Business analytics and evidence-based management
Analytics in Excel
Exploratory data analysis
Data visualisation
Analytical modelling: an overview
Analytics in action: regression
Analytics in action: classification
Analytics in action: cluster analysis
Analytics in action: dimensionality reduction
Dashboards and reports
Effective and ethical analytics

Teaching methods

Delivery type	Number	Length hours	Student hours
On-line Learning	9	1.00	9.00
e-Lecture	11	1.00	11.00
Private study hours			80.00
Total Contact hours			20.00
Total hours (100hr per 10 credits)			100.00

Private study

This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.

Online Learning will be Online Practicals (Computer-Based)

Opportunities for Formative Feedback

Your teaching methods could include a variety of different delivery models, such as face to face teaching, live webinars, discussion boards and other interactive activities. There will be opportunities for formative feedback throughout the module.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Essay	2000 words	100.00
Total percentage (Assessment Coursework)		100.00

The resit for this module will be 100% by 2,000 word coursework.

Reading list

The reading list is available from the Library website

Last updated: 20/10/2020 16:36:14

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