MSc Applied Economics and Data Analysis

The MSc Applied Economics and Data Analysis programme offered by the University of Essex aims to provide students with an in-depth understanding of different sub-disciplines within economics and train them to use econometric models and data to understand, analyse, and solve a wide range of economic problems. The course is a fusion of applied economics and data analysis which enables students to gain substantial knowledge in both domains.Course Content: The course is designed to equip students with the detailed knowledge and skills in handling and analysing big data, as well as in econometric theory. Core subjects encompass both theoretical and empirical issues and focus on topics like econometrics, machine learning, and applied econometrics. The course concludes with a dissertation project, which gives students the opportunity to apply the knowledge and skills obtained during the program to a practical real-world economic problem. Key Modules: Key modules that students will study include Econometrics, Applied Econometrics, Machine Learning for Data Science, Big Data Analytics, and Causal Inference for Impact Evaluation. Future Careers: After successfully completing this course, graduates may find opportunities as economists or data analysts in diverse sectors such as government departments, economic and management consultancies, banks, and other financial institutions. For more information on this course, please visit the official course page.