Computer science and statistical methods in perfect synergy
three-year BSc MORSE (Hons)
This degree is designed for able mathematicians with an interest in pursuing sophisticated theory and methods relevant to modern applications requiring large-scale data analysis. It prepares you for cutting edge data handling and analysis for the information challenges of tomorrow.
This degree is the first of its kind in the UK. It emphasizes a mathematical approach to the computational analysis of data.
The 21st Century has brought new challenges in the analysis of data, and it is increasingly apparent that solutions to these are both statistical and computational. 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 curriculum from Computer Science, Mathematics and Statistics.
In every facet of modern life, from online shopping and social networks to scientific research and finance, we collect immensely detailed information. Data scientists are concerned with turning this data into intelligence through the application of cutting-edge techniques in Statistics and Computer Science.
Global demand for combined statistical and computing expertise outstrips supply, with evidence-based predictions of 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 a critical area.
Application should be made to Data Science (7G73).
Transfers between all our degrees - Data Science, MathStat, MMathStat, MORSE and MMORSE - are usually straightforward for offer-holders and even beyond; see FAQs for more details. We therefore recommend applying to just one of our degrees.
EU students study under the same conditions as home students. Warwick University has ensured that current uncertainty around the UK's EU membership does not affect offer holders and applicants - see EU tuition fees.
The curriculum is built on the principle that module choices get more and more flexible as you progress through the degree. In any year, you may choose to 'overload' and study additional options.
The compulsory modules in year 1 build a strong, general mathematical foundation. You will also be introduced to Programming, Data Structures, Probability and Exploratory Data Analysis.
In year 2, Statistical topics are explored in considerable depth, and students are exposed to Algorithms, Databases and Software Engineering. There are a number of optional modules, such as Artificial Intelligence and Linear Statistical Modelling.
The only compulsory module is the Data Science Project, which allows you to showcase the skills you have developed. The remainder of the year consists of optional, advanced modules from both Statistics and Computer Science, such as Machine Learning and Bayesian Forecasting.
Go back to our undergraduate degree page for a wide collection of links about learning and study experience.