Data Science (Taught)

Reasons to choose Kingston

• This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.

• This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.

• Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.

About this course

Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast- growing and exciting area.

Example modules

• Machine Learning and Artificial Intelligence

• Applied Data Programming

• Data Analytics and Visualisation

For a full list of modules please visit the Kingston University course webpage.

Career opportunities

This course offers an excellent foundation aimed at careers contained within the more generic ‘Data Science’ umbrella, including data engineer, data analyst and machine learning engineer.

Course Modules

Example modules: Machine Learning and Artificial Intelligence, Applied Data Programming; Data Analytics and Visualisation. For a full list of modules please visit the Kingston University course webpage.