Module overview
Aims and Objectives
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- Interpret the output of statistical techniques used for the main data analytics applications.
- Understand the process of data analytics, particularly in the retail lending sector.
- Demonstrate a critical understanding of different types of data analytics methods and the problems they can solve.
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Critically analyse practical difficulties that arise when implementing retail credit risk models; understand the cross-fertilisation potential to other business contexts (e.g. fraud detection, marketing, CRM, etc.).
- Demonstrate an ability to use world-class software and to interpret its output in the relevant techniques.
- Manage time and tasks effectively in the context of individual study.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Work with software to develop data analytics solutions, such as predictive scorecards, clustering models, and different types of regressions.
- Assess the relevance of statistical package outputs to the decisions being addressed.
- Identify the statistical models appropriate for analysing the various decisions that confront a data analyst in different industries.
Syllabus
Learning and Teaching
Teaching and learning methods
Type | Hours |
---|---|
Teaching | 24 |
Independent Study | 126 |
Total study time | 150 |
Resources & Reading list
Textbooks
Hastie, T., Tibshirani, R., and Friedman, J (2013). The Elements of Statistical Learning. NJ, USA.: Springer.
Thomas, L.C., Edelman, D.B. and Crook, J.N. (2018). Credit Scoring and Its Applications. Philadelphia, PA: SIAM.
Assessment
Formative
This is how we’ll give you feedback as you are learning. It is not a formal test or exam.
Feedback
- Assessment Type: Formative
- Feedback: Formative group feedback on students’ performance in in-lecture exercises will be provided verbally immediately after the exercises. If possible, students will use technological tools to answer questions in the exercises.
- Final Assessment: No
- Group Work: No
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Individual report | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Individual report | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Method | Percentage contribution |
---|---|
Individual report | 100% |
Repeat Information
Repeat type: Internal & External