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MIS41150

Academic Year 2024/2025

Intro to Business Analytics (MIS41150)

Subject:
Management Information Systems
College:
Business
School:
Business
Level:
4 (Masters)
Credits:
8
Module Coordinator:
Professor Michael O'Neill
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

An overview of the field and the programme. This module will feature analytics case studies, and example simulation/role-play to help frame and contextualise discussion of the goals, methods, benefits and limitations of many business analytics techniques.

Topics:
● What is business analytics?
● The analytics organisation
● What are businesses trying to achieve? (measurement, understanding, prediction, optimisation, decision-making)
● Descriptive, predictive, prescriptive; relationships to other topics in the programme including Business Intelligence, Visual Analytics, Optimisation, Machine Learning and Artificial Intelligence
● Choosing the right analytics tool for the job
● Security, privacy, ethics

About this Module

Learning Outcomes:

At the end of this module, students will be able to:
● Define business analytics and explain in detail its roles in the organisation
● Define a number of sub-topics of business analytics and explain how they relate to the organisation’s goals
● Map from verbal descriptions of business problems to appropriate analytics approaches
● Discuss issues of security, privacy and ethics as they relate to business analytics and data.

Student Effort Hours:
Student Effort Type Hours
Lectures

24
Specified Learning Activities

80
Autonomous Student Learning

80
Total

184

Approaches to Teaching and Learning:
Blended learning

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Group Work Assignment: group work Week 2, Week 3, Week 4, Week 5 Graded No

40

 Yes
Assignment(Including Essay): individual assessment component (including simulation) Week 1, Week 5, Week 6, Week 7 Graded No

60

 Yes

Carry forward of passed components
Yes
 

Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Peer review activities
• Self-assessment activities

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Mark Connor Lecturer / Co-Lecturer
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