Full Title Business Analytics

Short Title Business Analytics

Code MATH08011
Level 08
Credit 05

Author OMurchu, Cillian
Department Business

Subject Area Mathematics
Attendence N/A%
Fee

Description
The module provides an introduction to big data analytics for all business professionals.The module will equip the student with the necessary skills, tools, methods and knowledge to critically analyse data in the specific areas of marketing, human resources, finance, and operations.

Indicative Syllabus
Applications of Business Analytics to the business world

Customer Analytics

People Analytics

Operation Analytics

Financial Analytics

Learning Outcomes
On completion of this module the learner will/should be able to
  1. Understand the role of business analytics in business

  2. Understand how data is used to describe, explain, and predict customer behavior.

  3. Understand how data is used to make soft-skill decisions about recruiting and talent development.

  4. Understand how data is used to improve existing operations.

  5. Understand how data is used in assessing financial performance and forecasting events


Assessment Strategies
Written examination at the end of the semester.

Written examination & project during the semester.

Module Dependencies
Pre Requisite Modules
None
Co Requisite Modules
None
Incompatible Modules
None

Coursework Assessment Breakdown %
Course Work / Continuous Assessment 40 %
End of Semester / Year Formal Examination 60 %

Coursework Assessment Breakdown

Description Outcome Assessed % of Total Assessment Week
Assessment 1,2,3,4,5 40 OnGoing


End Exam Assessment Breakdown

Description Outcome Assessed % of Total Assessment Week
Assessment 1,2,3,4,5 60 End of Semester


Distance Learning Mode Workload

Type Location Description Hours Frequency Avg Weekly Workload

Total Average Weekly Learner Workload 0.00 Hours

Part Time Mode Workload

Type Location Description Hours Frequency Avg Weekly Workload

Total Average Weekly Learner Workload 0.00 Hours

Full Time Mode Workload

Type Location Description Hours Frequency Avg Weekly Workload
Lecture Not Specified Lecture 2 Weekly 2.00
Lecture Computer Laboratory Lecture 1 Weekly 1.00
Tutorial Not Specified Tutorial 1 Weekly 1.00

Total Average Weekly Learner Workload 4.00 Hours

Online Learning Mode Workload

Type Location Description Hours Frequency Avg Weekly Workload

Total Average Weekly Learner Workload 0.00 Hours

Resources
Book Resources

Other Resources
Url Resources
Additional Info

ISBN BookList

Book Cover Book Details
2013 Business Analytics: An Introduction Auerbach Publications
ISBN-10 1466596090 ISBN-13 9781466596092
James R. Evans 2015 Business Analytics (2nd Edition) Pearson
ISBN-10 0321997824 ISBN-13 9780321997821
Omer Artun 2015 Predictive Marketing: Easy Ways Every Marketer Can Use Customer Analytics and Big Data Wiley
ISBN-10 1119037360 ISBN-13 9781119037361
Matthew J. Drake 2013 The Applied Business Analytics Casebook: Applications in Supply Chain Management, Operations Management, and Operations Research (FT Press Analytics) Pearson FT Press
ISBN-10 0133407365 ISBN-13 9780133407365
Jac Fitz-enz 2014 Predictive Analytics for Human Resources (Wiley and SAS Business Series) Wiley
ISBN-10 1118893670 ISBN-13 9781118893678
Jeffrey D. Camm 2014 Essentials of Business Analytics South-Western College Pub
ISBN-10 128518727X ISBN-13 9781285187273