Undergraduate degrees » Data Science
A key application domain for modern mathematics: Computer science and statistical methods in perfect synergy
What is Data Science?
Mathematics is a constantly evolving discipline, and has had a huge impact on modern life. In the 20th Century, a number of important advances have shaped our world. While some the mathematics of computation preceded actual computers (in fact, the word computer once referred to a person who performed calculations), a major mathematical and engineering breakthrough was the invention of the modern computer, which led to the mathematical discipline of Computer Science. Similarly, while some of the mathematics of "games of chance" was studied before, the 20th Century saw the axiomatizaion of the modern theory of probability. It was not long before this beautiful theory was used as a mathematical foundation for the analysis of data, and the discipline of Statistics was founded.
The 21st Century has brought new challenges in the analysis of data, and it is increasingly apparent that solutions to these are neither wholly statistical nor wholly computational, but an inextricable blend of both. This has led to a great demand for people both in industry and in research who are able to draw upon the mathematics of both computation and probability to make sense of the large amounts of data that are collected in order to solve major problems. Data science is an interdisciplinary response to this demand, and in our BSc degree programme students follow a carefully selected core curriculum from Computer Science, Mathematics and Statistics which they complement by taking a number of optional modules.
Demand for Data Scientists
The role of data scientist has become increasingly important over the last decade. This is because data scientists hold the key to tackling the fundamental problem created by the revolution in the development of computers and automated systems in the 20th Century: how to make sense of the unprecedented volumes of data that are generated on a daily basis? Indeed, in every facet of modern life, from online shopping and social networks to scientific research and finance, we collect immensely detailed information on actions taking place throughout the world. However, without interpretation, this data is just noise. Data scientists are concerned with turning this large scale data into intelligence through the application of cutting-edge techniques in Statistics and Computer Science.
Currently, global demand for combined statistical and computing expertise outstrips supply, with evidence-based predictions suggesting a major shortage in this area for at least the next 10 years. For graduates in Data Science this shortage presents opportunities to forge careers in one of the most crucial areas of modern science. There are a number of websites describing the types of roles that data scientists can fill. This one, for example, both advertises jobs and has articles related to data science.
What it is like to study Data Science at Warwick
And finally, if you are not yet convinced about how exciting this area is, there are plenty of other places you can read about What is a Data Scientist? (see also this Very Short History of Data Science). Indeed, now that All Science [has become] Data Science, data scientists have even been described as The New Rock Stars of the Tech World. Moreover, you might also be interested in reading How CIOs Draw Big Data Talent to one of the Best New Jobs in America (and elsewhere!).
This is a three year course leading to a BSc (Hons) Data Science degree. Its UCAS code is 7G73.
Enquiries about BSc Data Science: email@example.com
Link to the University's undergraduate prospectus pages: