We live in an era of rapid technological change in which intelligent and data-driven systems are increasingly shaping decision-making across diverse sectors, including business, healthcare, law, security, transport, and food production. This course prepares you for professional practice at the forefront of this transformation by integrating the technical, ethical, and organisational capabilities required of contemporary Data Science and Artificial Intelligence (AI) practitioners. 

The course develops an understanding of the professional role of the AI specialist and Data Scientist within organisations of varying scale and context. You will examine key legal, ethical, privacy, governance, and security considerations that underpin responsible practice in the collection, management, and deployment of data-driven systems. Fundamental philosophical and historical perspectives on AI and Data Science are also introduced, alongside contemporary debates on the societal, economic, and regulatory impacts of widescale adoption of intelligent technologies. 

Through a case-based and practice-oriented approach, you will learn the end-to-end process of framing and addressing real-world Data Science and AI problems. This includes posing effective analytical questions within specific domains, applying design thinking methodologies to structure solutions, and implementing projects using teamwork, lean practices, and professional communication strategies. Emphasis is placed on the ability to evaluate results critically and present insights clearly to stakeholders and decision-makers. 

A range of discipline-specific case study options is offered across multiple sectors (such as finance, health, and transport) and data modalities (including structured, textual, and large-scale datasets). You will engage in a work-integrated learning experience delivered in a simulated workplace environment, supported by feedback from industry practitioners. The course builds professional readiness and provides foundational preparation for advanced capstone or postgraduate project work, equipping graduates to apply Data Science and AI innovations for organisational value and social good. 

This course includes a Work Integrated Learning experience in which your knowledge and skills will be applied and assessed in a real or simulated workplace context and where feedback from industry and/ or community is integral to your experience.