A twelve-module curriculum for undergraduate and postgraduate study of digital marketing and artificial intelligence in professional practice. Designed for university adoption globally. All readings link to official, verified primary sources.
Upon completion of this curriculum, students will be able to:
Effective digital marketing practice requires a systemic understanding of how channels, technologies and consumer behaviours interact within a coherent strategic framework. This module establishes the conceptual architecture within which all subsequent modules operate, introducing students to the integrated digital marketing model, the customer journey as an analytical construct, and the role of data as the connective tissue between channels.
Search engine optimisation represents one of the highest-return long-term investments available in digital marketing, and one of the most frequently misunderstood. This module moves beyond introductory definitions to examine SEO as a strategic discipline: how search algorithms evaluate and rank content, how technical site architecture affects crawlability and indexation, how content strategy aligns with search intent, and how domain authority is built over time through link acquisition.
Paid media encompasses the mechanisms by which organisations purchase audience attention at scale and with precision. This module examines the auction-based systems underlying search and display advertising, the targeting capabilities available across major platforms, the principles of campaign structure and bidding strategy, and the analytical frameworks used to evaluate paid media performance and optimise return on advertising spend.
Social media platforms are simultaneously distribution channels, advertising ecosystems, community infrastructure and cultural phenomena. This module examines the structural logic of major platforms, the strategic frameworks for organic audience development, the integration of paid social within a broader media mix, and the measurement systems used to attribute value to social media investment. Students will develop the analytical capacity to evaluate social media strategy across different organisational contexts.
Content marketing operates at the intersection of audience value creation and search engine performance. This module examines the strategic frameworks for content planning, the editorial systems used to produce content at scale, the role of content in moving audiences through the customer journey, and the measurement frameworks used to evaluate content ROI. Particular attention is given to the transformation of content workflows by AI generation tools and the implications for content strategy.
Email remains among the highest-ROI channels in digital marketing and is the primary mechanism of direct relationship management with an existing audience. This module examines email marketing as a lifecycle discipline: how audiences are built and segmented, how automation workflows are designed and executed, how personalisation is achieved at scale, and how AI tools are transforming email creation, testing and optimisation. Students will develop the capability to design and evaluate complex email programmes.
The capacity to derive actionable insight from digital data distinguishes effective practitioners from those who produce activity without impact. This module examines the architecture of digital analytics systems, the conceptual and practical challenges of attribution across multi-channel customer journeys, the design of meaningful measurement frameworks aligned to business objectives, and the role of AI in automating and accelerating data analysis. Students will develop the analytical literacy to evaluate digital performance with rigour.
Generative artificial intelligence has moved from emerging technology to standard marketing infrastructure within a period of approximately three years. This module examines AI not as a novelty but as a set of production tools with specific capabilities and well-documented limitations. Students will develop a systematic understanding of which AI tools are most effective for which marketing tasks, how to evaluate AI output quality, how to integrate AI into professional workflows, and the ethical and legal considerations that govern commercial AI use in marketing.
Beyond general-purpose AI assistants, a specialist ecosystem of AI tools has developed to serve specific production functions across the marketing workflow. This module provides structured exposure to the leading specialist tools in image generation, video production, voice synthesis, academic research and presentation creation. Students will develop the practical literacy to evaluate, select and apply specialist AI tools in professional contexts — and the critical capacity to identify where AI tools add genuine value versus where human judgment remains irreplaceable.
Contemporary marketing operations depend on a complex infrastructure of interconnected platforms — CRM systems, marketing automation tools, analytics platforms, content management systems, advertising platforms and AI tools — that must function as a coherent system. This module examines the architecture of the marketing technology stack, the principles of system selection and integration, and the emerging role of AI in automating workflows across the stack. Students will develop the capacity to evaluate and design martech architectures appropriate to different organisational contexts.
The synthesis of individual channel expertise into a coherent, measurable cross-channel campaign is the defining competency of a senior digital marketing practitioner. This module examines the frameworks used to plan, execute and evaluate integrated digital campaigns: how objectives are translated into channel strategies, how budgets are allocated across channels, how creative assets are adapted for different formats, how campaign performance is measured holistically, and how AI tools are transforming campaign planning and optimisation. Students will develop the strategic capacity to design campaigns that coordinate across multiple channels toward a single business objective.
Digital marketing is a profession undergoing continuous structural transformation driven by platform evolution, algorithmic change and the accelerating deployment of artificial intelligence. This module equips students with a framework for understanding the contemporary professional landscape: which specialisations offer the strongest career trajectories, how professional credibility is built and demonstrated, how AI is redistributing tasks within marketing teams and what this means for skill development, and how to approach continuous learning in a field where the knowledge half-life is measured in months rather than years.