Module overview
Linked modules
Pre Reqs: MANG1019 OR MANG1007 OR MANG2090
Aims and Objectives
Learning Outcomes
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- apply and critically evaluate marketing concepts by using marketing intelligence techniques to draw practical recommendations.
- develop technical and analytical skills;
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- explain and evaluate concepts and tools needed to evaluate, analyse, and interpret marketing data;
- plan the resources needed to evaluate and analyse data, critically apply findings, and disseminate the outcomes.
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- the potential of data mining for gaining actionable marketing insights and for supporting marketing decision making.
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- demonstrate the ability to persuade, convince and argue effectively;
- manage yourself, time, and resources effectively.
- analyse datasets to provide insight into marketing activities;
Syllabus
Learning and Teaching
Teaching and learning methods
Type | Hours |
---|---|
Wider reading or practice | 20 |
Follow-up work | 24 |
Practical classes and workshops | 10 |
Preparation for scheduled sessions | 18 |
Completion of assessment task | 54 |
Lecture | 24 |
Total study time | 150 |
Resources & Reading list
Textbooks
Baesens, B. (2014). Analytics in a big data world. Wiley.
Field, A. (2009). Discovering statistics using SPSS. Sage.
Davenport, T.H. & Harris, G. H. (2007). Competing on Analytics: the New Science of Winning. Harvard Business School Press.
Linoff, G.S. and Berry, M.J.A. (2011). Data mining techniques: for marketing, sales and customer relationship management. Wiley.
Winston, W.L. (2014). Marketing Analytics: data driven techniques with Microsoft Excel. Wiley.
Assessment
Formative
This is how we’ll give you feedback as you are learning. It is not a formal test or exam.
In-class activities
- Assessment Type: Formative
- Feedback: There will be exercises and computer laboratories sessions for this module. The lecturer will provide verbal feedback during all sessions as well as during office hours. A “Project Corner” will be part of the lectures to guide students in their progress toward project submission. Moreover, students can submit a draft of a part of their project. Holistic overall feedback based on all submitted drafts will be provided to all students during lectures prior to the submission of the individual project. Students who submitted a draft have the opportunity to get one-to-one feedback on their work.
- Final Assessment: No
- Group Work: No
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Project | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Project | 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 |
---|---|
Project | 100% |
Repeat Information
Repeat type: Internal & External