Study BSc Statistics at the University of Essex! Gain practical skills, engage in employability activities, and explore career opportunities. Apply now!
The BSc Statistics is for students who want to understand and analyze data using modern statistical methods. It’s a home for mathematicians who enjoy solving practical problems and who want to make a difference in all sorts of areas. On this course students can study a wide range of topics, such as: Statistics, including theory and practical computer-based exercises Optimization, from linear to integer programming Applied mathematics, such as vector calculus and differential equations They will also have the chance to engage with the employability activities. Students develop their mathematical and statistical skills with a balance between solid theory and practical application in problems arising from finance, medicine, biology, economics and other fields of modern research. They therefore can gain an exceptional range of knowledge and skills that are currently in demand in statistically oriented employment; in business, commerce, industry, government service, education and in the wider economy. The Department of Mathematical Sciences is genuinely innovative and student-focused. Their research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples: Their data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of their data science research is applied directly or indirectly to social policies, including health, care and education. They do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios. They also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables. Their optimization experts work out how to do the same job with less resource, or how to do more with the same resource. Their pure maths group are currently working on two new funded projects entitled ‘Machine learning for recognising tangled 3D objects’ and ‘Searching for gems in the landscape of cyclically presented groups’. They also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Their research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity.
