MSc Artificial Intelligence in Marketing (Blended learning)

  • DeadlineStudy Details: Blended learning

Masters Degree Description

This one-year Master’s equips you with the advanced technical, analytical and strategic skills needed to succeed in today’s fast-evolving, data-driven marketing environment. You explore how AI-driven tools and techniques such as machine learning, predictive analytics, marketing automation, recommendation systems, chatbots and customer data platforms are transforming marketing practice. Through theoretical insight, hands-on learning and real-world case studies, you develop the ability to design, implement and evaluate intelligent marketing strategies that enhance customer journeys, optimise campaign performance and generate measurable business value.

Entry Requirements

2.2 honours degree or equivalent in a related subject area

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Fees

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Programme Funding

There are numerous sources of funding available for postgraduate students, both from external sources such as the Government and from the University.

Student Destinations

This MSc Artificial Intelligence in Marketing is ideal for ambitious graduates and professionals seeking to future-proof their careers, develop cutting-edge digital and analytical expertise, and become innovative leaders in AI-driven marketing. Graduates of the course are highly sought after in today’s data-driven and technology-focused job market.

It equips you with the advanced digital, analytical and strategic skills needed to pursue exciting careers across a wide range of industries, including technology, digital marketing, retail, e-commerce, consultancy, finance, media, healthcare and global consumer brands.

You will graduate with the expertise to work in roles such as:

AI marketing specialist
digital marketing strategist
marketing data analyst
customer experience (CX) manager
CRM and marketing automation consultant
personalisation and growth manager
digital transformation consultant
business intelligence and marketing insights analyst
product marketing manager.

The course also provides a strong foundation for progression into leadership and strategic roles as well as opportunities to pursue doctoral research or further academic study.

Module Details

Fundamentals of AI in marketing
Marketing in the digital era
AI in customer engagement and experience
Strategy
Capstone

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