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2020/21 Taught Postgraduate Module Catalogue

LUBS5309M Forecasting and Advanced Business Analytics

15 creditsClass Size: 200

Module manager: Panagiotis Stamolampros
Email: p.stamolampros@leeds.ac.uk

Taught: 1 May to 31 July View Timetable

Year running 2020/21

Pre-requisites

LUBS5308MBusiness Analytics and Decision Science

This module is not approved as an Elective

Objectives

This module aims to provide students with a thorough overall grasp of modern business analytic tools and their applications to business management.

Learning outcomes
Upon completion of this module students will be able to:
- Explore and subsequently critically evaluate the role of data and data analysis in modern business management (with special emphasis on data mining and forecasting)
- Identify, explore and appraise the links between quantitative analysis and behavioural insights

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
Predictive Analytics; Visual Analytics; Forecasting, Econometrics and Time Series; Model Management and Monitoring; Text Analytics; Analytics for Microsoft Office; Simulations; Advanced R programming; Survival Analysis.

Teaching methods

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


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: 15/09/2020

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