📖Program Curriculum
The module details given below are indicative they are intended to provide you with an idea of the range of subjects that are taught to our current students. The modules that will be available for you to study in future years are prone to change as we regularly review our teaching to ensure that it is up-to-date and informed by the latest research and teaching methods. The information presented is therefore not intended to be construed and/or relied upon as a definitive list of the modules available in any given year.
Year 1
Compulsory Modules
Global Business Environment
Introduction to International Business
Programming I - Programming Fundamentals
Introduction to Data Science I
Communication Confidence and Competence
Introduction to Data Science II
Optional Modules
Accounting Principles
Management in Context
Marketing Principles
Foundations of Human Resource Management
Multinational Enterprise Business Perspectives
Managing in a changing society
Consumer Behaviour 1
Year 2
Compulsory Modules
Organisational Behaviour
Operations and Quality Management
Computational and Artificial Intelligence
Visualisation for Data Science
Database Systems
Optional Modules
Managing Human Resources
Employment Relations
Professional development
Consumer Behaviour 2
Developing Professional Knowledge and Practice in HRM
Corporate Governance and Social Responsibility
Digital and Marketing Communications
Social Enterprise and Alternative Organising
Web Technologies
Programming II - Data Structures and Algorithms
Individual Study Topic in Computer Science
Software Engingeering
Year 3
Compulsory Modules
Business Strategy
Third Year Double Project - ISP
Optional Modules
Employee Development
Pay and Performance Management
Comparative Business Cultures
Digital Marketing in Practice
Managing Diversity - ISP
Contemporary Issues in Management
Marketing and Globalisation
Managing International Projects
Enterprise Business Plan
Machine Learning Applications
Data Mining
Advanced Databases and Applications
Advanced Web Technologies
Computational and Artificial Intelligence II
Data Ethics and Security
