Master of Science [M.Sc] [Data Science] From University of Surrey

Collecting, managing and analysing data is essential across many sectors – from finance to politics, and advertising to healthcare. This course will give you the advanced computation and mathematics skills you’ll need to work in the growing field of data science.

Designed in collaboration with industry and drawing on leading research, our Data Science MSc will prepare you for a career as a data scientist, data analyst, data engineer, data architect or a business analyst.

This programme uniquely addresses the fundamentals of data as well as the technical considerations needed to handle data with increasing scale and complexity.

Within this course you will develop your skills, knowledge and understanding of both data engineering and data science whilst learning to store, manage and analyse large sets of data.

You will study a range of modules, learning to work with the cloud providers (AWS, Azure GCloud etc)  to build robust data systems, an introduction to machine learning, data models for analysis and how to store data at scale.  You will learn about data visualisation to tell the story of your data and build systems to clean and analyse large data sets.

You will work with SQL and NoSQL databases, learn how to use parallel data analysis software, such as Spark, Flink  and learn how to integrate these into continuous deployment and integration development systems.

Data Science is one of the most rapidly expanding areas of employment globally, due to fast-paced 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.

Big data is playing an increasingly important role in our society. The need for expert and ethically-informed data analysis is in high demand across many industries. This course gives you the professional and problem-solving skills for a range of high-level careers.

This interdisciplinary masters will be taught by the Schools of Computer Science and Mathematical Sciences. The academics conduct their own international-quality research. They use this to teach you the latest techniques and technologies in this field.

Develop your knowledge in key topics such as statistical modelling, machine learning and advanced algorithms. This course offers a range of flexible optional modules. This allows you to study a topic that interests you.

You will undertake an individual research project in an area of your choice. This can be with industry partners or with one of our expert research groups. Past projects have included:

Development of location-based service for education
UK precipitation forecasting
The effect of virtual audiences on music performance anxiet

A minimum of a 2:2 UK honours degree in computer science, electrical or electronic engineering, mathematics, physics, related disciplines with demonstrable exposure to programming and mathematics, or other alternative subjects related to data analysis, data science or informatics, or a recognised equivalent international qualification.

• Your bachelors degree should be in computing or a related subject that contains background knowledge including mathematics with minimum 55-60%

• 2:1 (or international equivalent) with an affinity for programming and/or advanced statistics evidenced through prior study or practical experience detailed in the application. Graduates from other fields, with strong mathematics and/or computer science background will be considered with 60% average mark.