Suitable for graduates in economics or a highly quantitative discipline, this intensive one-year programme offers advanced training in economics and will equip you with the required skills for a career as an economist.The programme offers specialist pathways that allow you to focus on economics, economic policy or macroeconomics. Each pathway consists of a combination of core and specialised units, coordinated to maximise skill and depth of knowledge in your area of interest.MSc Economics incorporates the latest research developments from the School of Economics - research that has a direct impact on policy and practice. You will be joining an academic community that is international, forward-thinking, collaborative, and committed to helping all our students reach their full potential.
A strong upper second-class honours degree (65% or higher) in Mathematics, Engineering, Data Science, Computer Science, or Physics. OR If your degree subject is not listed above, you must have evidence of a strong upper second-class honours degree (65% or higher) which includes three units of mathematics (see Maths qualification requirements) with 60% or above in each unit in the final two years of study. OR Applicants with an Economics degree must have evidence of 2:1 in macroeconomics, microeconomics and econometrics units in the final two years of study. IELTS 7.0 overall with 6.5 in all skills Maths qualification requirements: Advanced Maths (introductory maths does not count towards maths unit requirements), Analysis, Auditing, Bayesian Modelling, Calculus, Complex Functions, Computer Science (including programming/algorithms), Data Mining/Data Science/Data Analytics, Decision Analysis and Simulation, Decision Maths, Derivatives, Differential Equations/Ordinary Differential Equations, Discrete Mathematics, Econometrics (including 'introductory' 'foundations of'; and 'advanced'), Financial Analysis, Financial Maths, Financial Modelling, Financial Reporting, Game Theory, Geometry, Information Theory, Investment Analysis, Kinematics, Linear Algebra, Linear Programming, Macroeconomics (including intermediate/advanced), Management Science, Mathematical Programming, Maths for Economics, Mechanics (any type of mechanics), Mechatronics, Micreoconomics (including intermediate/advanced), Multi Variate Analysis, Network Science, Number Theory, Optimisation, Probability, Proof/Intro to Proof, Pure Maths, Quantitative techniques, Quantitative Methods, Research Methods, Statement Analysis, Statistics/Statistical Methods/Statistical Analysis, Supply Chain management/Logistics Management, Time Series Analysis.
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