Full time
12 months
30-SEP-24
MSc - Master of Science
Data Analysis Marketing
Taught
Overview
The digital revolution has led to an unprecedented volume of information about consumers, which progressive organisations are eager to understand and use. This innovative masters degree will give you the practical skills to analyse consumer data and provide insights for successful marketing strategies.
Taught by leading academics from Leeds University Business School and the School of Geography, you’ll explore a range of analytical techniques including applied Geographic Information Systems (GIS) and retail modelling, consumer and predictive analytics and data visualisation. You’ll also develop the softer skills to use the results of these analyses to inform decisions about marketing strategy.
Thanks to our connections with businesses worldwide, you’ll have access to emerging trends in topics such as consumer behaviour, decision science and digital and interactive marketing. You’ll further develop your practical skills with the opportunity to work on a live data project provided by a company.
Career opportunities
From day one, we encourage you to think beyond your time at Leeds and reflect on a meaningful career. As a graduate of this course, you'll be equipped with advanced skills in consumer analytics and marketing strategy – ideal for those wishing to pursue a career in consumer data analytics, marketing and/or management.
Due to the digital revolution, companies around the world and in many sectors have access to greater amounts of data. The most progressive companies are particularly interested in marketing graduates with strong analytical skills, so this degree positions you at the heart of the recruitment pool.
Typical roles could include marketing or consumer data analyst, direct marketing manager, marketing manager, retail manager, or marketing or management consultant.
For this course (per year)
£15,750
For this course (per year)
£30,250
A bachelor degree with a 2:1 (hons) in any subject. Quantitative skills are beneficial but not essential; a willingness to engage with quantitative materials is required.
Full time | 1 year | 23-SEP-24
Full time | 1 year | 23-SEP-24
Full time | 2 years | APR-24
Full time | 2 years | APR-24
Full time | 2 years | SEP-24