You will cover the fundamental statistical and analytical concepts (such as machine learning) and technological tools (such as cloud platforms, Spark) for large-scale data analysis. The MSc modules cover the following aspects: statistical data modelling, data visualisation and prediction machine learning techniques for cluster detection, and automated classification big data processing techniques for processing massive amounts of data domain-specific techniques for applying data science to different domains: computer vision, social media analysis, intelligent sensing and internet of things case-based projects that show the practical application of the skills in real industrial and research scenarios. Laboratory sessions and tutorials will put these elements to practice through the execution of use cases extracted from real domains. You will also undertake a large project where you will demonstrate the application of data science skills in a complex scenario. This programme has been accredited on behalf of the Engineering Council and a suffix "EngC Pathway" will be added to the degree title when a student satisfies the accreditation requirements.