1. Demonstrate knowledge and understanding of the content, technologies and practices of data science, especially in relation to challenging data, and how it can apply to informing organisational change.

2. Apply, evaluate and use best-practice algorithms, techniques and theory of machine learning, statistics, optimisation, and distributed computing to the analysis and transformation of data in a range of application domains.

3. Demonstrate understanding of the social and ethical aspects of data science, to inform the design and development of data science applications within a sound ethical framework.

4. Apply principles of data analysis, presentation and visualisation to effectively communicate patterns and relationships in data.

5. Demonstrate strong independent and collaborative problem-solving skills to apply data science techniques to aid decision-making in real-world problems