• K1. Apply the principles, methodologies and applications of real time systems in diverse domains. • K2. Identify and explain the architecture components of real time systems. • K3. Communicate the key drivers for big data in terms of efficiency, productivity, revenue and profitability to global organisations. • K4. Identify and describe types of big data, and analyse its differences from other types of data. • S1. Integrate data warehouse and business intelligence techniques when using big data. • A1. Communicate security, compliance, auditing and protection of real time big data systems. • A2. Adopt problem solving and decision making strategies, to communicate solutions to organisational problems with key stakeholders, based on analysis of big data, in real time settings. • V1. Value the need to work collaboratively and autonomously on organisational real time big data problems. • V2. Appreciate the need for big data techniques given that conventional information technologies cannot effectively handle the size, the scale and growth of real time big data sets.
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