Artificial Intelligence Strategy MSc

Compulsory

• MG55AA - AI Sustainability, Ethics, Governance and Regulations

  This block has the following three main aims:

  • Enabling students acquire an in-depth understanding of the sustainability, legal and ethical concerns, implications, and risks of using artificial intelligence and machine learning in various sectors and the tools available to enhance legally compliant and ethically responsible use of artificial intelligence.
  • Introducing students to topics, concepts, theories, methodological approaches, and tools relevant to transparency, regulatory compliance, oversight, and accountability as well as legal liability.
  • Developing students’ skills of critical thinking and analysis, legal argumentation, and judgement in relation to AI-driven decisions using academic material, statutory and regulatory documents, administrative and judicial decision as well as policy documents, guidelines, and other information sources.
• MG55BB - Innovative AI Leadership and Business Models

  This block has three main aims which are to:

  • Enable students to appreciate the issues and challenges that confront managers responsible for artificial intelligence and its implications for leadership and aligning its business model and structure, embedding corporate governance and understanding its application for resource and talent management and communication and marketing.
  • Introduce students to topics, concepts, theories, methodological approaches including large language models (LLM), prompt engineering, and tools relevant to leading and managing organisations to benefit the implementation of AI.
  • Develop students’ skills of critical thinking, logical analysis, argument and judgement when deploying AI in organisations via the use of case study and other materials exemplar readings and other information sources.
• MG55CC - AI Technologies for Decision Makers

  This block has three main aims which are to:

  • Enable students to get a high-level overview of the technical details and challenges that face AI applications design, development and adoption within organisational settings
  • Introduce students to various technical topics, concepts, theories, methodological approaches and tools relevant to AI designing and developing AI applications using Large Lanugane Model (LLM), Machine Learning, Deep Learning and Natural Language Processing (NLP).
  • Develop students’ skills of critical thinking, logical analysis, argument and judgement when deploying AI in organisations while considering the issues related to Big Data representativeness and ownership, LLM, and its relevance to meeting the strategic goals of the business
• MG55DD - AI Strategy and Transformation

  This block has three main aims which are to:

  • Enable students to understand and evaluate various AI Strategies and transformation options from corporate, institutional, and national perspectives.
  • Introduce students to topics, concepts, theories, methodological approaches, and strategies relevant to the adoption, implementation, diffusion of AI from technological, ethical, legal and socio-economic aspects.
  • Develop students’ skills of critical thinking, logical analysis, argument, and judgement when analysing AI strategies in organisations via the use of case study and other materials exemplar readings and other information sources
• MG55EE - Business Modelling and Simulation

  The aim of this module is to critically examine and identify the role played by modelling and simulation in managing and assuring the quality of system performance and operations whilst meeting strategic targets of the supply chain. The topic ranges from managing basic day to day operations to strategic planning and decision making, hence this module aims to provide students with insights into several areas of business modelling and simulation with AI and how to carry out a typical modelling project including the phases of the modelling process.

• Praxis 1 & 2

  The aims of Praxis 1 & 2 are to ensure students apply their learning to address a major AI related challenge faced by organisations in the public, private or third sector. Exemplar challenges will include Grand Challenges and the UN’s Sustainable Development Goals.

• MG55GG - Dissertation: Applied Research Project

  The aim of this module is that of allowing you to conduct a piece of research including the identification of the research enquiry, data collection and analysis and the presentation of the results. The dissertation module, through the supervision of an academic member, develops you as an independent learner and brings together the knowledge and skills gained in the programme for the analysis of a specific AI Strategy related problem

• MG5601 - Business Intelligence

  In this module, students will be introduced to the most significant technologies associated with business intelligence, big data and data analytics, with a particular emphasis on applications in the corporate sector. Students will be supported in developing state-of-the-art knowledge and professional competencies in the analysis, interpretation and management of corporate knowledge resources, with the expectation of gaining proficiency in application tools of relevance to high technology industry. The module addresses fundamental technologies and professional competencies of relevance to the commercial sector from a business and management perspective.