2020/21 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: 1 Jan to 31 May View Timetable
Year running 2020/21
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 |
| e-Lecture | 10 | 1.00 | 10.00 |
| Drop-in Session | 20 | 1.00 | 20.00 |
| Private study hours | 120.00 | ||
| Total Contact hours | 30.00 | ||
| Total hours (100hr per 10 credits) | 150.00 | ||
Private study
This includes completing a practical activity each week which will require between 1 to 2 hours. It will also include activities such as reading, watching videos, question practice and exam 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: 19/02/2021 11:37:57
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