Course Content
Year 1 modules include:
- Data Analysis and Financial Mathematics (core, 30 credits)
- Fundamentals of Computing (core, 15 credits)
- Introduction to Information Systems (core, 15 credits)
- Logic and Mathematical Techniques (core, 30 credits)
- Programming (core, 30 credits)
Year 2 modules include:
- Data Analytics (core, 15 credits)
- Data Engineering (core, 15 credits)
- Databases (core, 15 credits)
- Professional Issues, Ethics and Computer Law (core, 15 credits)
- Programming with Data (core, 15 credits)
- Smart Data Discovery (core, 15 credits)
- Statistical Methods and Modelling Markets (core, 30 credits)
Year 3 modules include:
- Artificial Intelligence and Machine Learning (core, 15 credits)
- Big Data and Visualisation (core, 15 credits)
- Project (core, 30 credits)
- Academic Independent Study (option, 15 credits)
- Advanced Database Systems Development (option, 30 credits)
- Artificial Intelligence (option, 15 credits)
- Cryptography and Number Theory (option, 15 credits)
- Ethical Hacking (option, 15 credits)
- Financial Modelling and Forecasting (option, 30 credits)
- Formal Specification & Software Implementation (option, 30 credits)
- Work Related Learning II (option, 15 credits)