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2024/25 Taught Postgraduate Module Catalogue

LUBS5309M Forecasting and Advanced Business Analytics

15 creditsClass Size: 204

Module manager: Panagiotis Stamolampros

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2024/25

This module is not approved as an Elective


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:
- Apply accurately in different environments problem formulation and solving skills


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
Private study hours125.00
Total Contact hours25.00
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

Via regular class or online exercises and feedback on performance both in class and through completion of examples.

Methods of assessment

Assessment typeNotes% of formal assessment
Assignment3,500 words100.00
Total percentage (Assessment Coursework)100.00

The resit for the module will be 100% by 3,500 word assignment.

Reading list

The reading list is available from the Library website

Last updated: 29/04/2024 16:16:22


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