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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

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

Delivery typeNumberLength hoursStudent hours
On-line Learning200.5010.00
e-Lecture102.0020.00
Private study hours120.00
Total Contact hours30.00
Total hours (100hr per 10 credits)150.00

Private study

This could include a variety of 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

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information


Coursework
Assessment typeNotes% of formal assessment
Assignment3,500 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: 14/08/2020 10:36:03

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