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SBUS46270

Academic Year 2024/2025

Foundations in AI and Business Analytics (SBUS46270)

Subject:
Business
College:
Business
School:
Business
Level:
4 (Masters)
Credits:
5
Module Coordinator:
Professor Joe Peppard
Trimester:
Autumn&Spring&Summer(separate)
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

The broad objective of this module is to give participants the knowledge, tools, and insights to demystify AI and analytics, and to start to explore their potential in organizations. Real-world examples will be presented to demonstrate the capabilities of, the limitations of, and opportunities provided by these technologies. Participants in the module also will discover how to leverage these technologies to create a competitive edge for their business and learn how to anticipate trends and outcomes and make informed decisions. Importantly, participants will explore what it takes for success with AI and analytics and the critical role of information.

About this Module

Learning Outcomes:

The broad learning outcomes from this module include:

• Understand the language of artificial intelligence, machine learning and analytics;
• Appreciate the fundamental concepts of analytics and AI;
• Recognise and analyse the capabilities and limitations of AI and analytics and explore their potential strategic and operational impact;
• Appreciate the potential opportunities through exploring a variety of application areas;
• Be aware of the benefits of a strategy-driven versus a data-driven approach;
• Appreciate the challenges organisations face in realising expected outcomes as they look to adopt AI and analytics.
• Adopt evidence-based decision making, and recognise cognitive biases that can impact on decision making;
• Identify potential application areas of AI and analytics in your organisation;


Student Effort Hours:
Student Effort Type Hours
Specified Learning Activities

40
Autonomous Student Learning

60
Lectures

16
Total

116

Approaches to Teaching and Learning:
The module has a detailed study guide. Students are required to complete the module pre-reading or pre-work prior to attending the seminar sessions. The sessions themselves will be a combination of lectures, group discussion, in-class presentations, case study discussions and classroom exercises. A heavy emphasis in the seminars is on teasing out the implications of theory for practical application in a workplace context

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
Assignment(Including Essay): Post-module Assignment Week 15 Graded No
100
 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

How will my Feedback be Delivered?

Written feedback to be provided within 20 days of assignment deadline.

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