Collaborative Organisation and Form of Collaboration
Qualification and Programme Title
B.Sc. Mathematical Economics and Statistics with Placement Year Full-time
Programme Code
355H
Delivery Location
Campus
Language of Study
English
Length of Programme
4 Year(s)
Accreditations
This programme has no outside accreditations
Aims of the Programme
This programme provides students with an understanding of economic concepts, principles and tools, with a particular focus on mathematical and statistical methods. The programme aims to stimulate students intellectually through the study of economics and to lead them to appreciate its application to a range of problems and its relevance in a variety of contexts. Students should receive a firm foundation of knowledge about the workings of economic systems and develop the relevant skills for the constructive use of that knowledge in a range of settings.
The first year of the programme provides a foundation in economics and a rigorous grounding in mathematics and statistics. The second year develops a core of Microeconomics, Macroeconomics and Econometrics, alongside more specialised policy-based and theoretical modules. In the final year of the programme, there is more advanced coverage of econometrics and mathematical economics together with increased flexibility to specialise in a number of theoretical and policy-oriented fields.
The programme provides students with advanced mathematical and technical skills that are applicable to the study of Economics and transferable to other areas, including analytical skills and an ability to develop simplifying frameworks for studying the real world. On graduating, students will be well prepared to work in a range of graduate careers, for example in banking, finance or general management careers, or to progress to Masters-level study in Economics.
Programme Outcomes
Students are expected to have Knowledge and Understanding of:
Which will be gained through the following Teaching and Learning methods:
and assessed using the following methods:
Economic concepts and principles addressing microeconomic issues, such as consumption, production, markets and market failure, economic welfare, and macroeconomic issues, such as employment, national income, the balance of payments, economic growth, business cycles, and the role of the financial system in the economy.
Relevant advanced quantitative methods and tools for data analysis including appropriate mathematical and statistical methods, computational techniques and econometrics, taking into account compliance with data usage regulations.
Relevant theoretical, model-based and empirical analytical tools, and different methodological approaches to the analysis of economic policy and applications of relevant economic principles and reasoning.
Application of economic principles, their mathematical formulation, and the statistical means by which theories and propositions can be evaluated to a variety of topics.
Relevant verbal, graphical, mathematical and econometric representations and communication of economic ideas and analysis, in various relevant media.
Lectures, small-group classes, computer based learning, independent learning and research.
Unseen written examinations, coursework, problem sets, tests.
Students are expected to have attained the following Skills and other Attributes:
Which will be gained through the following Teaching and Learning methods:
and assessed using the following methods:
Ability to abstract and simplify in order to identify and model the essence of a problem provide a framework for analysis which can be applied to various contexts such as evaluation of economic policy and applied topics.
Ability to apply logical reasoning, analysis and assumption-based models to enhance problem-solving and decision-making skills.
Ability to compare different economic outcomes, before and after a change in the underlying parameters and consider parameter changes in broader social and political contexts.
Ability to formulate problems in mathematical terms, cast economic propositions into appropriate frameworks for evaluation by statistical methods.
Ability to apply mathematical, statistical and graphical techniques in an appropriate manner.
Ability to understand the relevance, theoretical base and use of appropriate levels of mathematical technique.
Ability to research, assimilate, assess reliability, structure, analyse, evaluate, interpret, present and communicate qualitative and quantitative data, economic concepts and reasoning including following ethical principles.
Lectures, small-group classes, computer based learning, independent learning and research.
Unseen written examinations, coursework, problem sets, tests.
