COURSE CURRICULUM

The programme combines artificial intelligence, data analytics, digital transformation, and strategic management to prepare students for leadership roles in technology-driven organisations. The Advanced Practice module provides valuable real-world experience through research projects, employer-led opportunities, or external internships, allowing students to apply academic knowledge, enhance professional skills, and improve employability through practical learning. The Artificial Intelligence Ethics and Applications module develops an understanding of AI and data science applications across various industries, including chatbots, virtual assistants, medical diagnosis, biometric recognition, fraud detection, personalisation, and autonomous systems. Students explore the opportunities, challenges, and ethical considerations involved in implementing AI technologies. The Business Project enables students to apply their learning in a professional context by completing an independent project that demonstrates problem-solving, reflective practice, and continuous development. Through Critical Business Inquiry, students develop advanced research skills to analyse organisational challenges, conduct literature reviews, apply research methods, and use qualitative and quantitative data analysis to create effective solutions for real-world business problems. The Data Analytics and Decision-making module introduces business intelligence tools and analytical techniques that help students analyse large datasets, identify trends, and support strategic decision-making. Global Digital Innovation and Transformation explores how technologies such as cloud computing, big data, social media, and the Internet of Things create new business models and competitive advantages. The Leading Strategic Change module develops knowledge of organisational design, change management, and development strategies, helping students understand how organisations adapt and grow in changing environments. Overall, the programme equips graduates with AI knowledge, analytical abilities, research expertise, leadership skills, and strategic thinking required for careers in AI management, digital transformation, business analytics, technology consulting, innovation strategy, and responsible AI leadership.