MSc in Marketing
Programme code: TMMK
Department: Management
This information is for the 2017/18 session.
Guidelines for interpreting programme regulations
Classification scheme for the award of a taught master's degree (four units)
Exam sub-board local rules
Full-year programme. Students must take four compulsory courses and options to the value of two units as shown below. Students must also complete the pre-sessional course MG4E7 Business Fundamentals.
Paper |
Course number and title | |
|---|---|---|
1 |
Principles of Marketing (H) | |
Marketing Analytics I: Consumer Analysis Fundamentals (H) | ||
2 |
Consumer Insights I: Behavioural Fundamentals (H) | |
Marketing Action Learning Project (H) | ||
3 |
Electives to the value of one unit from the following: | |
|
Marketing Analytics II: Analytics for Managing Innovations, Products and Brands (H) | |
New Media Marketing: Managing Online and Social Media (H) | ||
Pricing Strategy (H) | ||
Consumer Insights II: Judgement and Decision Making (H) (not available 2017/18) | ||
Analytics for Strategic Decisions (H) | ||
4 |
Electives to the value of one unit from the following, subject to timetable constraints: | |
Algorithmic Techniques for Data Mining (H) (formerly MG4E1 Algorithmic Techniques for Data Mining) | ||
The Audience in Media and Communications (H) | ||
Contemporary Issues in Media and Communications Policy (H) | ||
Pricing Strategy (H) | ||
Global Business Management (H) (not available 2017/18) | ||
Consumer Insights II: Judgement and Decision Making (H) (not available 2017/18) | ||
Analytics for Strategic Decisions (H) | ||
Incentives and Governance and Organisations (H) | ||
Organisational Behaviour (H) | ||
Leadership in Organisations (H) | ||
Marketing Analytics II: Analytics for Managing Innovations, Products and Brands (H) | ||
New Media Marketing: Managing Online and Social Media (H) | ||
Research Methods for Evaluation in Health, Development and Public Policy (H) | ||
Qualitative Research Methods (H) | ||
Doing Ethnography (H) | ||
Qualitative Research with Non-Traditional Data (H) | ||
Multivariate Analysis and Measurement (H) | ||
Survey Methodology (H) | ||
Creativity and Innovation (H) | ||
Multivariate Methods (H) | ||
Generalised Linear Modelling and Survival Analysis (H) | ||
Time Series (H) | ||
Machine Learning and Data Mining (H) | ||
Note for prospective students:
For changes to graduate course and programme information for the next academic session, please see the graduate summary page for prospective students. Changes to course and programme information for future academic sessions can be found on the graduate summary page for future students.
