Learn how to become an expert marketeer
Through a combination of marketing fundamentals and technical expertise, the Masters of Applied Artificial in Marketing and E-Commerce provides expertise in the field of Artificial Intelligence applied to marketing to enable you to play a major role in business performance.
Learn how to use AI to the fullest, from different techniques to tools to supercharge marketing strategies, analyse consumer engagement, and make savvy decisions. This cutting-edge course empowers you to predict market demand and position your organisation as a trendsetter.
Your Applied Artificial Intelligence in Marketing and E-Commerce career outlook
Our programme gives a more commercially relevant and tech industry-oriented master’s qualification to help you enter the workplace fully equipped and confident of your abilities. As a graduate of this programme, you'll be equipped to enter some job roles, including:
AI Developer
As a marketing-focused AI developer, your specialised skill set is crafting precise marketing campaigns, tailoring customer experiences, and optimising marketing efforts. Your expertise aligns with strategic approaches in both marketing and e-commerce, utilising AI-driven analytics and insights.
AI Product Owner
As a Product Owner for e-commerce, your role involves overseeing the multidimensional management of an artificial intelligence solution within the e-commerce market. By multidimensional management, we mean devising a complete product vision, strategy and roadmap, aligning its operational, business, marketing and financial facets to optimise its value and competitive advantage.
AI Consultant
From planning AI integration to its execution, you guide your organisation through seamlessly integrating AI into its operations, paving the way for a data-driven AI strategy that harmonizes with your e-commerce goals, ultimately fueling sustained growth in the online marketplace. As an AI consultant, you will create a custom-made AI roadmap for your e-commerce brand. This roadmap includes outlining the AI vision, conducting a readiness assessment, and establishing the essential technology and data infrastructure.