2021/22 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: Semester 2 (Jan to Jun) View Timetable

Year running 2021/22

Pre-requisites

LUBS5308M

Business 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 type	Number	Length hours	Student hours
e-Lecture	10	1.00	10.00
Seminar	10	1.50	15.00
Private study hours			125.00
Total Contact hours			25.00
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 type	Notes	% of formal assessment
Assignment	3,500 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 website

Last updated: 30/07/2021 16:04:41

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