Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: September – 12 months January – 18 months 2 Years (part-time)
The MSc Digital Marketing with Data Analytics offers a comprehensive blend of marketing and analytical skills, preparing students for the dynamic and evolving field of digital marketing.
This programme integrates theoretical knowledge with practical applications, ensuring graduates are well-equipped for the digital marketing landscape. You will learn how data can help inform decisions in a digital business environment while being mindful of social responsibility, sustainability and business ethics.
The MSc in Digital Marketing with Data focuses on the strategic use of digital marketing tools and data analytics. It covers essential topics like SEO, PPC, social media marketing, and email marketing, as well as data analytics and machine learning, offering a well-rounded understanding of the digital marketing sector.
This master’s programme will teach you how to use digital marketing and data analytics to achieve marketing goals.
You will learn how to use digital channels to reach and engage customers, how to collect and analyse data to extract insights, and how to use those insights to improve marketing campaigns.
For fees and funding options, please visit website to find out more
MA MSc Digital Marketing with Data Analytics Career Paths
Students who have graduated from our masters programmes in the Richmond Business School have gone on to work and study in the following locations:
American Express, BP, Citroen Algeria, Coca-Cola Servicios de Colombia, Credit Suisse, Glencore India Pvt Ltd, Laura Ashley Foundation, Merrill Lynch, Royal Bank of Scotland, Standard Chartered Bank, UBS, and the United Nations
Fall Semester
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Spring Semester
Summer Semester
Fall Semester
EITHER
OR
Richmond American University London, established in 1972, is a pioneering institution with a clear mission: to educate and empower future generations...
