2019/20 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: Semester 1 (Sep to Jan) View Timetable

Year running 2019/20

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; Sampling and Estimation; Statistical Inference; Predictive Modelling and Analysis; Regression Analysis; Linear Optimization; Applications of Linear Optimization; Optimization Models with Uncertainty; Decision Analysis.

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 decision sciences 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: 24/09/2019

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