Year 2 (national level 5):
- Personalised Skills Development (20 credits)
Learn key skills such as self-determination, planning and actioning of goals, time management, independent learning and team working.
- Software Enterprise Project (20 credits)
Work in a team to undertake a large scale development for a real client or realise an enterprising idea that the group has personally conceived and developed. Learn the principles of software engineering and development in the context of real world and real client needs and demands. Focus on ethics, professionalism and security related issues within the software development and technology management industries.
- Intermediate Software Development (20 credits)
This module will move beyond the basic object oriented concepts associated with simple classes and objects to cover a series of more sophisticated object-oriented ideas, including ‘inheritance’ and ‘polymorphism’.
- Database Systems Development (20 credits)
Design, develop and manage database systems within organisations. Focus on understanding common relational database theory, analysis, design, development and management processes. Learn to develop databases using SQL within the Oracle environment, before going on to develop extended database functionality including stored procedures, stored functions, cursors and triggers. Gain knowledge of ways in which SQL can be embedded within typical programming languages and systems for developing large scale database applications.
- Internet of Things (20 credits)
Gain the specialised skills necessary to develop applications for IoT devices within real-world contexts, including the use of robotics and sensors. Focus on programming, network connectivity, configuration and deployment of IoT devices in simulated and practical environments. Use industry-standard tools to acquire, interpret and visualize data retrieved from them. Consider science, HCI and security techniques.
- Business Analytics (20 credits)
Investigate techniques that organisations use for performing simple data analytics for a range of business applications. Gain an understanding of how analytics can enhance business processes and improve decision making, in areas such as marketing, customer relationships, sales and forecasting.