- Research Module (20 credits)
Undertake advanced study in order to define, plan and a develop a proposal for a research investigation and scope, plan, develop and produce an academic research paper.
- Product Development (20 credits)
Work with a client to develop a practical solution to a business problem, using up-to-date practitioner methods across the project life cycle.
- Business Intelligence and Strategy (20 credits)
Learn about the practical applications of big data in a business context and gain a critical awareness of the strategic challenges and opportunities afforded by business intelligence to organisations. Consider the professional and ethical requirements of big data.
- Advanced Data Technologies (20 credits)
Understand how traditional and newer data models and database technologies support real world demands of data. Investigate various data architectures and how they can represent structured and unstructured data in traditional and big data systems, methods for designing, developing and maintaining these data systems, and tools for data access and analysis including data analytics tools and how they are used in areas such as data science.
- Artificial Intelligence (20 credits)
Gain a broad introduction into AI techniques and a detailed understanding of the application of some critical approaches, so that when you go into industry or research, you are able to choose and develop a solution using the correct AI techniques for the problem.
- User Experience Design (20 credits)
Study the principles and practices that ensure users gain the most appropriate experience when interacting with computer-based software and hardware systems. Focus on the three core principles of interaction design: understanding users and their contexts which involve learning techniques to profile users and analyse their tasks, design principles such as layout and dialogue design, and user-centred evaluation methods such as usability testing and expert inspection.