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2021/22 Taught Postgraduate Module Catalogue

LUBS5308M Business Analytics and Decision Science

15 creditsClass Size: 500

Module manager: Richard Hodgett

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2021/22

This module is not approved as an Elective


This module aims to introduce students to key concepts in business analytics, with a special emphasis on common areas of application. It also explores the links between the behavioural (decision science) perspective on decision support and the management science/business analytics perspective.

Learning outcomes
Upon completion of this module students will be able to:
- Critically evaluate decision science and business analytics perspectives on organisational decision support and identify and explore their complementarity
- Explore and comment on the emerging role of ‘big data’
- Display familiarity with major areas of application of business analytics
- Apply accurately a range of the key methods employed in business analytic approaches to problem solving

Skills outcomes
Upon completion of this module students will be able to:
- Apply accurately in different environments problem formulation and solving skills


Indicative content
Introduction to Business Analytics; Analytics on Spreadsheets; Visualizing and Exploring Data; Probability Distributions and Data Modelling; Clustering; Network Graphing; Linear Optimization; Applications of Linear Optimization; Optimization Models with Uncertainty; Decision Analysis; Big Data Systems, Analytics using R.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Drop-in Session121.5018.00
Independent online learning hours25.00
Private study hours102.00
Total Contact hours23.00
Total hours (100hr per 10 credits)150.00

Private study

The independent learning includes engaging with online learning resources that include videos, text, quizzes, practical guides and competitions which are released weekly on Minerva. It will also include activities such as engaging with discussion forums, reading articles, watching videos, question practice and assessment preparation.

Opportunities for Formative Feedback

Your teaching methods could include a variety of 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

Assessment typeNotes% of formal assessment
Assignment3,000 words100.00
Total percentage (Assessment Coursework)100.00

The resit for this module will be 100% by assessed coursework.

Reading list

The reading list is available from the Library website

Last updated: 30/06/2021 15:20:02


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