2022/23 Taught Postgraduate Programme Catalogue
MSc Consumer Analytics and Marketing Strategy
| Programme code: | MSC-BS/CAMS | UCAS code: | |
|---|---|---|---|
| Duration: | 12 Months | Method of Attendance: | Full Time |
| Programme manager: | Aulona Ulqinaku | Contact address: | a.ulqinaku@leeds.ac.uk |
Total credits: 180
Entry requirements:
Upper second class or first class bachelor’s degree or international equivalent. Applicants whose first language is not English will need to attain an IELTS overall test score of 6.5 with no less than 6.0 in each section; or equivalent TOEFL scores totalling at least 92 overall with a minimum of 21 in Listening, 21 in Reading, 23 in Speaking and 22 in Writing.
The programme aims at:
Graduates with a degree in business, geography or a technical field (e.g., statistics, computing or engineering), who want a career in consumer data analytics, marketing and/or management;
Graduates with a degree in a non-related discipline with some relevant work experience or interests, who want a career in consumer data analytics, marketing and/or management;
[Note that a numerate background would be helpful but is not required. A willingness to engage with quantitative materials is required.]
School/Unit responsible for the parenting of students and programme:
LUBS
Examination board through which the programme will be considered:
LUBS Postgraduate Board of Examiners
Programme specification:
Companies across many industries and markets are interested in building their capability in the big data area. The unprecedented levels of technological change brought on by the digital revolution mean the skills and approaches that elevated marketing executives to senior roles even a few years ago are no longer sufficient to propel them further. The attractiveness of the MSc Consumer Analytics and Marketing Strategy to the marketplace will result from its practical focus on furnishing firms with graduates that have highly sought-after analytical skills in the big consumer data area. There is recognition among managers that big data specialists require the insight to change strategy decisions. The novelty of this MSc programme is that brings together consumer analytics skills with softer skills necessary to utilise data for marketing strategy decisions. In Semester one, modules will teach the foundations of consumer analytics and marketing strategy theory. Semester two modules place more emphasis on applying high-level analytical tools and techniques to scan, analyse, and solve practical problems. Modules such as Digital and Interactive Marketing and Marketing Research Consultancy Project involve practices with real data and simulations. In Semester three students can either take a Dissertation or a Project that involves using company data provided by the CDRC.
To achieve this, the MSc programme includes unique contributions from the School of Geography (i.e., Centre for Spatial Analysis and Policy) and the Marketing and Management (i.e., Centre for Decision Research, Global and Strategic Marketing Research Centre) Divisions of LUBS.
Year1 - View timetable
[Learning Outcomes, Transferable (Key) Skills, Assessment]
Candidates are eligible for the award if they pass the 150 credits of modules (including compulsory to pass modules) and achieve an overall average mark of 50 or above, calculated across the 180 credits of modules studied.
Compulsory modules:
Candidates will be required to study the following compulsory modules:
| GEOG5042M | Geographic Data Visualisation & Analysis | 15 credits | Semester 1 (Sep to Jan) | |
| GEOG5917M | Big Data and Consumer Analytics | 15 credits | Semester 2 (Jan to Jun) | |
| GEOG5927M | Predictive Analytics | 15 credits | Semester 2 (Jan to Jun) | |
| GEOG5937M | Applied GIS and Retail Modelling | 15 credits | Semester 1 (Sep to Jan) | |
| LUBS5308M | Business Analytics and Decision Science | 15 credits | Semester 1 (Sep to Jan) | |
| LUBS5406M | Consumer Behaviour | 15 credits | Semester 1 (Sep to Jan) | |
| LUBS5418M | Marketing Research Consultancy Project | 15 credits | Semester 2 (Jan to Jun) | |
| LUBS5449M | Digital and Interactive Marketing | 15 credits | Semester 2 (Jan to Jun) | |
| LUBS5465M | Marketing Strategy | 15 credits | Semester 1 (Sep to Jan) |
Optional modules:
Candidates will be required to study 30-credits from List A and 15-credits from the optional modules on List B
List A - Candidates are required to study 30 credits from the following modules
| GEOG5957M | Dissertation - Consumer Analytics | 30 credits | 1 Feb to 31 Aug | |
| LUBS5401M | Marketing Dissertation/Project | 30 credits | 1 Feb to 30 Sep |
List B - Candidates are required to study 15-credits from the following optional modules
| GEOG5255M | Geodemographics and Neighbourhood Analysis | 15 credits | Semester 2 (Jan to Jun) | |
| LUBS5403M | Marketing Analytics | 15 credits | Semester 2 (Jan to Jun) | |
| LUBS5427M | Corporate Social Responsibility and Sustainability | 15 credits | Semester 2 (Jan to Jun) | |
| LUBS5432M | Brand Management and Corporate Identity | 15 credits | Semester 2 (Jan to Jun) | |
| LUBS5443M | Change Management and Communication | 15 credits | Semester 2 (Jan to Jun) | |
| LUBS5990M | Machine Learning in Practice | 15 credits | Semester 2 (Jan to Jun) |
Candidates are eligible for the award if they pass the 150 credits of modules (including compulsory to pass modules) and achieve an overall average mark of 50 or above, calculated across the 180 credits of modules studied.
Last updated: 15/07/2022 10:05:09
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