Overview:
- Credits:
- 7.5
- Level:
- 4
- Semester:
- Autumn
- Subject:
- Management Information Systems
- School:
- Business
- Coordinator:
- Professor Michael O'Neill
MIS41150 Intro to Business Analytics
Academic Year 2023/2024
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
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Curricular information is subject to change
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 Type | Hours |
|---|---|
| Lectures | 24 |
| Specified Learning Activities | 80 |
| Autonomous Student Learning | 80 |
| Total | 184 |
Requirements, Exclusions and Recommendations
Not applicable to this module.
Module Requisites and Incompatibles
Not applicable to this module.
| Remediation Type | Remediation Timing |
|---|---|
| In-Module Resit | Prior to relevant Programme Exam Board |
Feedback Strategy/Strategies
• Feedback individually to students, post-assessment
• Peer review activities
• Self-assessment activities
How will my Feedback be Delivered?
Not yet recorded.
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