2021/22 Taught Postgraduate Module Catalogue
LUBS5308M Business Analytics and Decision Science
15 creditsClass Size: 500
Module manager: Richard Hodgett
Email: R.E.Hodgett@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2021/22
This module is not approved as an Elective
Objectives
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:
Transferable
- Apply accurately in different environments problem formulation and solving skills
Syllabus
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 type | Number | Length hours | Student hours |
Workshop | 3 | 1.00 | 3.00 |
e-Lecture | 2 | 1.00 | 2.00 |
Drop-in Session | 12 | 1.50 | 18.00 |
Independent online learning hours | 25.00 | ||
Private study hours | 102.00 | ||
Total Contact hours | 23.00 | ||
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
Coursework
Assessment type | Notes | % of formal assessment |
Assignment | 3,000 words | 100.00 |
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 websiteLast updated: 30/06/2021 15:20:02
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- Undergraduate module catalogue
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