Bachelor of Science in Economics and Mathematics

University of Essex - Colchester Campus

UK,England

 0 Shortlist

36 Months

Duration

CAD 20,500/year

Tuition Fee

CAD 0 FREE

Application Fee

Apply Date

UK, England

Type: University

Location Type: Semi-Urban

Founded: 1965

Total Students: 17,800 +

Campus Detail

Main Campus Address

Wivenhoe Park, Colchester CO4 3SQ, United Kingdom

Bachelor of Science in Economics and Mathematics

Program Overview

On this course, you investigate topics in mathematics, and mathematical applications in economics. Mathematics develops strong problem solving skills that will complement the economics side of your course and allow you to understand the more complex elements of the subject, so that you can examine the decisions of individuals, the strategies of firms and the policies of individuals.

You will explore topics including:

  • Microeconomics (economics of producers and consumers)
  • Macroeconomics (economics of nations)
  • Probability and applied statistics
  • Finance and big data
  • Calculus

Mathematics is a discipline in which precise propositions can lead, through elegant arguments, to far-reaching consequences, including surprising applications. The clear-cut nature of the subject means that a higher proportion of mathematics students obtain first-class degrees than in many other subjects.

Our Department of Mathematical Sciences is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:

  • Our 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 our data science research is applied directly or indirectly to social policies, including health, care and education.
  • We 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.
  • We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
  • Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.
  • Our 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’.
  • We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity.

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