Module overview
Aims and Objectives
Learning Outcomes
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Manage time and tasks effectively in the context of individual study.
- Demonstrate an ability to use world-class software and to interpret its output in the relevant techniques.
- 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.).
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- 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.
- Work with software to develop data analytics solutions, such as predictive scorecards, clustering models, and different types of regressions.
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- Understand the process of data analytics, particularly in the retail lending sector.
- Interpret the output of statistical techniques used for the main data analytics applications.
- Demonstrate a critical understanding of different types of data analytics methods and the problems they can solve.
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