2019/20 Taught Postgraduate Module Catalogue

LUBS5309M Forecasting and Advanced Business Analytics

15 creditsClass Size: 200

Module manager: Dr. Richard Edgar Hodgett
Email: r.e.hodgett@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2019/20

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 and Data Mining; Visual Analytics; Forecasting, Econometrics and Time Series; Model Management and Monitoring; Quality Improvement; Text Analytics; Analytics for Microsoft Office.

Teaching methods

Delivery type	Number	Length hours	Student hours
Lectures	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

Reading from core texts; practice exercises; limited amount of reading of key articles on both forecasting and business analytics.

Opportunities for Formative Feedback

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

Methods of assessment

Exams

Exam type	Exam duration	% of formal assessment
Standard exam (closed essays, MCQs etc)	2 hr	100.00
Total percentage (Assessment Exams)		100.00

The resit for this module will be 100% by 2 hours examination

Reading list

The reading list is available from the Library website

Last updated: 20/09/2019

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