MSc Economics with Data Analytics

The MSc Economics with Data Science course available at the University of Essex integrates theory and application, offering students an advanced level understanding of economic modelling interlaced with real-world data approach. This blend of analysis, programming, and relevant software tools will equip students for a successful career in economy-based data science.Course Content: The course encapsulates various key areas, imparting knowledge about economic data and how to apply it using statistical programming. It allows students to tackle intricate issues for economic behaviors and phenomena using data analysis and machine learning. Also, it emphasizes the use of Python and R to implement econometric methods, and focuses on how large data sets can be leveraged to handle real-world economics problems. Key Modules: The modules for this course include Data Science Methods for Economics, Advanced Macroeconomics, Theory of Econometrics, Game Theory, Equilibrium and Welfare, Big Data, Financial Econometrics, Quantitative Portfolio Management, Models for Microeconomics and Finance, and Issues in Financial Development. Accreditations: This course is accredited by the Chartered Insurance Institute (CII) and also maps to the CFA program Candidate Body of Knowledge (CBOK), thus preparing students for the CFA exams effectively. Future Careers: After completing this course, graduates are anticipated to be employed in a wide range of sectors such as banking, finance, academia, public sector, and consultancy. They can have careers in roles such as financial analyst, economist, data analyst, market researcher, consultant, and many more. For more information on this course, please visit the official course page [here](https://www.essex.ac.uk/courses/PG01347/1/MSc-Economics-with-Data-Science#:~:text=Our%20MSc%20Economics%20with%20Data,Models%20for%20Microeconomics%20and%20Finance).