Study MSc Economics with Data Analytics in the UK! Gain essential skills for analyzing economic issues. Apply now for international student support!
For students looking to study and analyze pressing economic problems using advanced data analytic techniques, the University of Essex MSc Economics with Data Analytics is the right choice. The Department of Economics and the School of Computer Science and Electronic Engineering have created a joint course that allows students to develop the economic and computational tools to not just isolate problems but also develop sophisticated evidence-based answers. Students have the opportunity to learn the essentials of economics, so they can build a grounding to analyze economic problems, students will then build on this knowledge with programming skills. Essex combines these two approaches in a series of applications that allow students to access and process big data using advanced econometrics and also apply computational techniques to questions of financial economics and macroeconomics. Essex's MSc Economics with Data Analytics allows students to build a theoretical understanding of how to approach economic problems, together with computational skills, with the opportunity of applying these research skills in applications by studying topics such as: computational models for microeconomics and finance, computational macroeconomics and policy design, microeconomics, and applications of data analysis. After completing the Masters at Essex, students may wish to extend their knowledge with a research degree –many Essex graduates decide to here for further study. Alternatively, students may choose to initiate their professional career. This course will prepare students for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level. Recent Master’s level Economics and CSEE graduates have gone on to work for a range of high-profile organizations like The Bank of England and the International Monetary Fund.
