Masters of Business Administration (MBA, L9, 60 ECTS)

Semester 1 

• Data Mining, Business Intelligence and Decision Making 
• Corporate Governance and Risk Management 
• Leadership, Change and Organisational Psychology 

Semester 2 

• Sustainable Corporate Citizenship 
• Management Consultancy Project 
• AI, Automation and Robotics for Business 

Module 1: Data Mining, Business Intelligence and Decision Making 

Module Aim 

This module will study the principles, processes and techniques of extracting information from data with a view to improving business performance by enabling smarter decision-making. It will examine data mining and business intelligence and their application to real world problems. 

Learning Outcomes 

1. Critically evaluate the effectiveness of decision making in terms of process and outcome. 
2. Critique the quality of discovered knowledge, based on the requirements of the data mining task being solved and the business goals of the user. 
3. Apply data analysis and actionable information into the decision-making process. 
4. Assess the data manipulation and analysis environment for evidence based decision making. 
5. Engage in a practitioner based analysis of modern performance management techniques. 
6. Formulate appropriate solutions in practice to common data science problems.

Module 2: Corporate Governance and Risk Management 

Module Aim 

This module introduces students to the topic of business ethics and corporate governance by covering aspects of moral philosophy, ethics in business, corporate social responsibility and environmental social governance. On completion of the module students will develop an understanding of how effective corporate governance facilitates risk management and can be utilised as a source of competitive advantage in business. 

Learning Outcomes 

1. Utilise different theoretical perspectives in order to critically identify, eliminate and minimise risk in contemporary corporate governance issues. 
2. Discuss management concepts that can support responsible business conduct and mitigate against strategic, legal, operational and privacy risks. 
3. Critically assess the different types of risk facing an organisation. 
4. Evaluate the role of the compliance function in risk mitigation 
5. Critically evaluate the role of corporate governance in risk management. 
6. Apply skills of analysis and critical judgement while evaluating a business case study.

Module 3: Leadership, Change and Organisational Psychology 

Module Aim 

This module will introduce some key models for understanding organisational behaviour; it will consider important dimensions of how people make sense of themselves and their ‘fit’ within work groups, in particular jobs, and, to the organisation itself. The module will explore real world implications of ‘fit’ for career decision-making, workplace socialisation, workplace teams etc.; and finally, the module will address issues of workplace stress and instances of deviance at work. The aim of this module is to develop the student’s ability to assess the functioning of an organisation in order to diagnose, manage and lead change. 

Learning Outcomes 

1. Demonstrate an understanding of the theories, concepts and methods relating to organisational psychology, leadership and change. 
2. Apply theories and research concerning individuals, groups and organisation as to the process of change. 
3. Synthesise solutions to overcome the difficulties of change as applied to organisational culture, dynamics, resistance to change and human behaviour 
4. Critically evaluate ongoing activities within an organisation and design and plan the implementation of selected Organisational Development interventions while considering the human development factor. 
5. Analyse how employee experience at work is influenced by job design, context and individual differences 
6. Critically assess how theory and research in social psychology may help us to understand current issues in society applied to the modern workplace.

Module 4: Sustainable Corporate Citizenship 

Module Aim 

This module introduces students to the topic of business ethics and sustainability by covering aspects of moral philosophy, ethics in business, sustainable development, corporate social responsibility and environmental social governance. On completion of the module, students will develop an understanding of how ethical and sustainable practices can be utilised as a source of competitive advantage in business. 

Learning Outcomes 

1. Apply the theory of ethical behaviour and reflective practise to the modern business setting. 
2. Utilise different theoretical perspectives in order to evaluate ethical dilemmas and sustainable development issues. 
3. Critically evaluate the importance of Corporate Social Responsibility (CSR) in organisational performance. 
4. Assess how businesses can integrate ethical behaviour and sustainable development as sources of competitive advantage. 
5. Synthesise knowledge of ongoing contemporary developments in business ethics and sustainability. 
6. Apply the skills of analysis and critical judgement while evaluating a business case study

Module 5: Management Consultancy Project 

Module Aim 

The students will carry out a live client consulting assignment which includes a strategic review of the chosen company with SWOT, PESTLE, competitor analysis, review of target markets and potential new markets with a presentation of the observations and recommendations to the company . The module covers a wide range of topics, including performance management, risk and project management, marketing, customer services, business planning and problem-solving. 

Learning Outcomes 

1. Plan and implement a live consulting assignment through research and a range of investigative techniques. 
2. Apply the analytical frameworks and tools from other co-requisite modules when researching, analysing and presenting client data. 
3. Reflect on the learning experience, working within a group and identify personal strengths and areas for further development. 
4. Deliver an enthusiastic and well-practiced presentation to give information to the client persuading them to act on the recommendations 
5. Display an understanding of the local, national and global business environment through research and engagement with current information sources 
6. Apply technology and research methodologies to the management consultancy final report, through the use of presentation tools, online resources and analytical software

Module 6: AI, Automation and Robotics for Business 

Module Aim 

This module explores the artificial intelligence paradigm and its capacity for developing smarter automation and control systems. Through practical examples, and underpinned by rigorous theory, you will develop an understanding of the key objectives of intelligent agents, namely to correctly interpret data from observations of their environment, to learn from data, and to carry out tasks and complete goals by responding to the learning. 

Learning Outcomes 

1. Critically evaluate the impact of new technologies on organisations on workers and on society. 
2. Apply advanced AI techniques to selected problems. 
3. Analyse the consequences for fair, accountable and transparent systems that use AI. 
4. Synthesise fundamental control and data communications components in the context of integrated automation systems 
5. Implement and comply with basic safety procedures when operating robotic or automation equipment. 
6. Formulate innovative management strategies to implement AI, Automation and Robotics as part of strategies to solve a manufacturing project brief.

Please note : Candidates must have completed The Postgraduate Diploma in Executive Management to be eligible to apply for year 2 (MBA).