Marketing Artificial Intelligence, Big Data and Marketing Data Analytics

The programme aims to enhance the concepts and skills for modern marketers who wish to improve their job performances. Using real-world examples from various industries, participants will learn how big data and artificial intelligence transform marketers from reactive to proactive planners.

This programme focuses on the practical aspects of designing and planning a digital and social media marketing campaign, as part of the overall marketing strategy.

The Professional Diploma in Social Media and Digital Marketing Programme is to equip those marketing practitioners or executives without an academic marketing qualification with practical marketing knowledge including strategic marketing planning, consumer behaviour, basic Google analytics, social media and digital marketing, and public relations. Upon completion of the programme, students will be able to handle marketing tasks to achieve the business goals.

This programme aims to provide students with essential and fundamental knowledge in social media and digital marketing analytics. It also provides hands-on and practical techniques and tools for students to build both strategic mindsets on data strategy and develop practical skills in using digital and social media marketing analytics effectively.

This programme aims to equip digital marketing and advertising practitioners with the skills to utilise Google Analytics 4 (GA4) to measure online traffic across various platforms and apps engagement. The programme also focuses on collecting event-based data and providing insights and solutions to optimise digital campaigns, website traffic, and sales conversion for e-commerce.  

 

The programme aims to enhance the concepts and skills for modern marketers who wish to improve their job performances. Participants will learn the concepts and tools of digital marketing, understand the successful cases in growth hacking marketing, and employ digital growth tools to maximize marketing performance.

Learning Objectives By the end, learners will:

• Understand advanced no-code AI agent platforms

• Design AI workflows for marketing automation

• How to use no code platforms for AI agents

• Address ethical and practical challenges (e.g., data quality, bias)