Master of Science in Applied Data Science and Cyber Security Royal Holloway,University of London, UK

MSc Applied Data Science and Cyber Security is a new masters designed for those wanting to learn the skills required to gain insights from data and an understanding of cyber security.

The conversion course enables students with little prior exposure of programming, machine learning or cyber security to develop expertise and valuable skills that will prepare you for a career in the growing data science and information security industry where there is significant demand for skilled personnel, both in the UK and internationally. The importance of data science and cyber security grows year on year, with sectors including healthcare, manufacturing, retail, finance and others reliant on the insights that accurate data capture and analysis can provide; at the same time there is an ever-growing need to engage with related cyber security and privacy issues.

The course will introduce you to a variety of languages essential to Data Science, including Python, and how to use different software packages such as scikit-learn. You will develop your understanding of how a wide variety of data science methods work, including clustering, regression, decision trees, and neural networks, learning how to apply them through hands-on examples.  You’ll also build a sound knowledge of cyber security and data privacy, including the particular privacy challenges faced by many data science applications as well as ongoing issues such as detection of security events.

Throughout your studies you will work with data and gain the ability to design and implement data analysis to find smart solutions for real-world problems. You’ll learn how to deal with large datasets, interpret and communicate results in the presence of bias and uncertainty, and build your range of soft skills for making presentations and writing. You will also explore the multitude of ethical, social, and political issues, the implication of artificial intelligence and advanced computing, and acquire the skills to analyse and critically evaluate ethical issues.