Master of Research in Artificial Intelligence in Business

University of Hertfordshire

This module enhances students' capabilities in designing and executing thorough research by offering advanced training in methodologies, data gathering, and analytical techniques. With a focus on real-world organisational settings, it cultivates critical judgement in choosing suitable methods and interpreting results. Students will acquire the skills to identify research gaps, synthesise literature, and develop ethically sound and impactful research projects. By the conclusion of the module, students are expected to select and apply robust research methods to address complex organisational issues.

This module introduces the fundamentals of artificial intelligence and digital management tools in business. Designed for students with no prior experience, it explores how these technologies enhance organisational efficiency, decision-making, and innovation. Topics include AI concepts, digital platforms, automation, data transformation, and ethical considerations. Real-world case studies support practical understanding, and students will develop the confidence to evaluate, apply, and communicate AI and digital solutions responsibly within business contexts.

This capstone module enables students to undertake a major independent research project in artificial intelligence in business. Building on prior learning, students design and execute a rigorous empirical study, applying appropriate research methods and analytical techniques. Emphasis is placed on real-world relevance, academic integrity, and ethical practice. The final dissertation demonstrates students' ability to produce high-quality research with both theoretical insight and practical implications for contemporary organisational management challenges.

This module explores how artificial intelligence is transforming business practice, driving innovation, and reshaping industries. Students will investigate real-world applications of AI across sectors, gaining insight into its strategic use and organisational impact. Topics include intelligent automation, AI-driven decision-making, and ethical challenges in implementation. Through case studies, hands-on analysis, and critical discussion, students will develop the skills to evaluate, apply, and communicate AI-informed solutions to complex business problems in a responsible and forward-thinking manner.

Success at university requires a full understanding of institutional expectations as well as the development of key academic skills needed to enable students to fulfil their potential. This module will provide a structured step-by-step guide along the student journey to equip students with the necessary knowledge and skills to best achieve their goals. Using engaging and interactive content, this module aims to provide students with all the tools and a strong foundation upon which to build successful academic and professional experiences.