IB9SQ-30 Analytics Portfolio
Introductory description
The Analytics Portfolio module provides an opportunity to explore projects of practical relevance to the student’s interests or with one of WBS’ industry partners. This allows students to synthesise, apply and extend the knowledge they have gained in the taught component of the course in a close-to-real-life experience.
Module aims
The principle aim of the module is that students synthesise, apply and extend the knowledge they have gained in the taught component of the course in a close-to-real-life experience. Working in the context of a realistic analytics domain, or with one of WBS’ industry partners, students will be exposed to current analytics practice through their involvement in real-world analytics projects. This will allow students to sharpen the skills learned in the course while gaining practical experience.
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 starts with an introduction to the module and presentation of example cases/problems to include in their portfolio.
Students choose and start working on individual project(s) during term 3. The project(s) should be related to the analytics projects exemplified during the course. The goal is to provide a solution to one (or more) analytical problem. Solutions can, but do not have to, be of the form of a programming code, analytical models, or a whitepaper.
Learning outcomes
By the end of the module, students should be able to:
- Demonstrate an understanding of current challenges faced in analytical projects.
- Interpret and discuss findings of project.
- Critically analyse problems
Indicative reading list
Reading lists can be found in Talis
Research element
Projects will require students to develop appropriate methodologies to derive credible solutions for current business problems in Analytics.
Interdisciplinary
Analytics is interdisciplinary by nature and relates to Information Systems, Finance, Computer Science, Statistics, and Law among other fields.
International
Analytics is a global phenomenon, so many cases and challenges will naturally involve international markets and legislation.
Subject specific skills
Develop and apply appropriate solution methods to address a particular analytical challenges.
Identify and understand key analytical challenges faced by modern organisations.
Define, frame, propose, and present solutions to analytical problems.
Develop appropriate methodologies to derive credible solutions and recommendations.
Transferable skills
Communication skills
Time management skills
Study time
| Type | Required |
|---|---|
| Lectures | 2 sessions of 1 hour (1%) |
| Tutorials | 2 sessions of 2 hours (1%) |
| Private study | 146 hours (49%) |
| Assessment | 148 hours (49%) |
| Total | 300 hours |
Private study description
Private study to include preparation for lectures and own reading
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 |
|||
| 6,000 words portfolio | 100% | 148 hours | Yes (extension) |
Reassessment component is the same |
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Feedback on assessment
via myWBS
Courses
This module is Core optional for:
- Year 1 of TIBS-N1N3 Postgraduate Taught Business Analytics