IB9ST-15 Applied Analytics Projects
Introductory description
The Applied Analytics Projects module provides an opportunity to apply the techniques and methodologies taught on the course to real-world settings. The focus will fundamentally concern the practicalities of applying analytical methods within the context of wider organizational change. This will incorporate project management for analytical interventions, ethics and risks in analytics projects, and the structuring of analytics in the business model of the organisation.
Module aims
The principle aim of the module is that students are exposed to the challenges that organisations face when applying analytical techniques. Building upon the content delivered on previous modules around analytics interventions, this module will expose students to the organizational challenges that surround such interventions. This will include the management of analytics projects, the broader ethical and ESG frameworks that surround analytics interventions, and building the overall analytics maturity of an organisation.
Additionally, the module offers the opportunity to synthesise, apply and extend the (technical and management) skills and knowledge they have gained in previous modules within the setting of applied analytics projects.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
This module covers the following topics:
Project management for analytics interventions
Client management and consultancy skills
Scoping a project and determining milestones and critical paths
Communication with a variety of stakeholders
Structing an analytics function within an organisation
Managing project risk in analytics interventions
Deploying and maintaining analytics models
Ethical and ESG concerns in analytics projects
Learning outcomes
By the end of the module, students should be able to:
- Demonstrate comprehensive understanding of the challenges that organisations face when applying analytical techniques.
- Critically evaluate the key challenges in applied analytics projects
Indicative reading list
APM (2019). APM Body of Knowledge (7th ed.) Princes Risborough: APM
Curuksu, J. D. (2018) Data Driven: An introduction to management consulting in the 21st century. New York: Springer International
Davenport, T. and Harris, J., (2017). Competing on Analytics: Updated, with a new introduction: The new science of winning. Harvard Business Press.
Grossman, T.A., Norback, J.S., Hardin, J.R. and Forehand, G.A., (2008). Managerial communication of analytical work. INFORMS Transactions on Education, 8(3), pp.125-138.
Haller K (2022). Managing AI in the Enterprise: Succeeding with AI projects and MLops to build sustainable AI organizations. Apress.
Maylor, H. (2022). Project Management (5th ed.) Harlow: Pearson.
Pidd, M. (2009). Tools for Thinking: Modelling in management (3rd ed.) Chichester: Wiley
Vidgen, R., Shaw, S. and Grant, D.B., (2017). Management challenges in creating value from business analytics. European Journal of Operational Research, 261(2), pp.626-639.
Wickham, L. & J. Wilcock (2016) Management Consulting: Delivering an effective project. Harlow, UK: Pearson
Subject specific skills
Apply appropriate analytical techniques and project management skills to applied analytics settings
Define, frame, propose, and present solutions to analytical problems
Integrate ethical and ESG concerns to the design of analytics projects
Transferable skills
Communicate the results of analytics projects to a variety of (technical and non-technical) audiences.
Demonstrate professional communication skills.
Study time
| Type | Required |
|---|---|
| Online learning (scheduled sessions) | 9 sessions of 1 hour (6%) |
| Other activity | 18 hours (12%) |
| Private study | 49 hours (33%) |
| Assessment | 74 hours (49%) |
| Total | 150 hours |
Private study description
Private study to include preparation for lectures and own reading
Other activity description
9 x 2 hrs F2F workshops
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group A
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
Assessment component |
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| Individual Assignment | 70% | 52 hours | Yes (extension) |
|
Individual Assignment 3000 words |
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Reassessment component is the same |
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Assessment component |
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| Group work: Presentation and Report | 30% | 22 hours | No |
|
Video (8 minutes - 0% component), written report (2,000 words - 30% component) |
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Reassessment component |
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| Individual Assignment | Yes (extension) | ||
|
Individual Assignment 1500 words |
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Feedback on assessment
Written feedback (group level for group work and individual level for individual assignment)
Courses
This module is Core for:
- Year 1 of TIBS-N1N3 Postgraduate Taught Business Analytics