AI in Marketing MSc
Course Overview - AI in Marketing MSc
This one-year, blended-learning Master’s equips students with advanced AI and marketing skills, providing a profound understanding of artificial intelligence technologies and their applications in marketing. It focuses on enhancing your ability to utilise AI for data-driven decision-making; improving customer engagement; and optimising marketing strategies. It fully prepares you for high-demand roles within the sector, encouraging creativity and innovation while promoting ethical practice in areas such as data privacy, fairness and sustainability.
Facilities and spe...
This one-year, blended-learning Master’s equips students with advanced AI and marketing skills, providing a profound understanding of artificial intelligence technologies and their applications in marketing. It focuses on enhancing your ability to utilise AI for data-driven decision-making; improving customer engagement; and optimising marketing strategies. It fully prepares you for high-demand roles within the sector, encouraging creativity and innovation while promoting ethical practice in areas such as data privacy, fairness and sustainability.
Facilities and specialist equipment
* Modern teaching facilities, specialist software and a wide range of industry-standard digital platforms.
* Leading customer engagement and analytics platforms including Salesforce, Zendesk and ServiceNow, allowing you to explore AI-driven personalisation, CRM automation, chatbot development and customer journey optimisation in realistic business scenarios.
* A range of widely adopted and education-accessible digital marketing and analytics tools such as:
* SEMrush for SEO and competitive intelligence
* Google Analytics 4 (GA4) for performance measurement and customer insights
* Power BI and Tableau for data visualisation and dashboard development
* Python for marketing analytics and predictive modelling
* Advanced Excel for business intelligence and data analysis.
* Dedicated computer laboratories, collaborative learning spaces and digital-innovation environments equipped with high-performance systems capable of supporting AI applications, machine-learning techniques and advanced marketing analytics.
* Access to the University’s digital library, academic journals, market-research databases and professional industry reports.
Your student experience\
With our practice-led approach, you learn using AI tools to optimise campaigns, enhance personalisation and make data-driven decisions. Teaching is informed by research-active academics and industry expertise.
Our facilities and specialist tools provide a professional, industry-focused learning environment, ensuring you graduate with strong practical abilities, technical confidence and job-ready skills aligned to current and emerging industry demands.
Explore key areas of AI use in marketing such as use of algorithms; the role of AI in data-driven decision making; automated journey mapping; advanced content personalisation; and proactive customer support tools such as chatbots.
Develop an ethical and responsible perspective on the use of AI, examining key issues such as data privacy, algorithmic bias, transparency, governance and sustainability.
Through live client projects, industry guest lectures, applied assessments and an industry-focused dissertation, you develop practical, job-ready skills; build a professional portfolio; and gain valuable exposure to real-world business challenges.
Benefit from dedicated career development support, embedded employability activities and opportunities for networking, ensuring you graduate confident, capable and ready to succeed in high-demand global roles.
Our innovative block-teaching approach allows you to focus intensively on one unit at a time, supporting deeper learning, improved academic performance and greater flexibility for independent study.
If you are in employment as you study, you can integrate your work experience into your learning and assessments as well as putting new skills into practice in the workplace.
Course Information
12 option s available
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Part-time
Duration
1 Years
Start Date
2028-03-01
Campus
Luton Campus
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
Unknown
Points of Entry
Unknown
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Fees and funding
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