COURSE CURRICULUM

This postgraduate programme in Applied Artificial Intelligence and Data Analytics is designed to equip students with advanced knowledge of AI, data science, machine learning, and digital innovation while developing the strategic, technical, and leadership skills required in modern organisations. The curriculum combines theoretical understanding with practical application, enabling students to solve complex business challenges using intelligent technologies and data-driven decision-making. Students study Artificial Intelligence and Data Science to build a strong foundation in AI techniques, predictive modelling, data processing, and intelligent systems, while Business Data Analytics develops the ability to collect, analyse, interpret, and communicate business insights from large datasets. Applied Machine Learning and Big Data Strategy explores advanced machine learning algorithms, big data technologies, and strategies for implementing data-driven solutions within organisations. Responsible AI: Ethics, Law and Governance examines the ethical, legal, and regulatory considerations surrounding artificial intelligence, ensuring students understand responsible AI development, transparency, privacy, fairness, and governance. Blockchain in Business Digitalisation introduces blockchain technology and its applications in digital transformation, secure transactions, supply chain management, and business innovation. Technopreneurship and Innovation encourages entrepreneurial thinking by exploring technology-driven business opportunities, innovation management, and the commercialisation of emerging digital technologies. The programme culminates in the Applied Artificial Intelligence and Data Analytics Capstone Dissertation, where students undertake an independent research project addressing a real-world business or technological problem using advanced AI and analytical techniques. Students also have opportunities to personalise their studies through optional modules such as Developing Skills for Business Leadership, which strengthens leadership and management capabilities, Digital Marketing Metrics, which focuses on measuring and optimising digital marketing performance, Big Data Visualisation, which develops expertise in presenting complex data through effective visual analytics, and Corporate and Social Responsibility, which examines ethical and sustainable business practices. Students may also participate in the International Masters Summer School, providing valuable international learning experiences and global networking opportunities. Overall, the programme prepares graduates for careers in artificial intelligence, data science, business analytics, machine learning, digital transformation, technology consulting, innovation management, and strategic leadership across a wide range of industries where advanced data-driven decision-making and emerging technologies play a critical role.