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  • DeadlineStudy Details:

    MSc Full-time: 12 months

Masters Degree Description

Insights from data science are most valuable when they exist alongside a knowledge and understanding of the ways in which individuals, businesses and governments make decisions.

On our Economics and Data Science MSc, you will learn about the data science methods used widely in economic analysis, such as Lasso, random forests, supervised learning, neural networks, Large Language Models, and foundation models. This will be combined with a study of core economics and econometrics topics.

You will take specialist core modules that will teach key methods such as machine learning and coding, economic decision making and their application in economics. You can choose from a range of options to suit your interests and career goals. You will also undertake a dissertation in big data economics.

With an advanced degree in economics and data science from the University of Nottingham, you will graduate with all the knowledge, practical skills and confidence you need to stand out to employers and progress as a professional economist, policy maker or academic researcher.

Entry Requirements

2:1 (or international equivalent) in a discipline with significant economics content, including microeconomics, macroeconomics, statistics and econometrics modules. We also require some sort of economics mathematics content. Generally, this is found in modules such as calculus, linear algebra, economics mathematics, or quantitative economics.

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Fees

For fees and funding options, please visit website to find out more.

Student Destinations

Our economics and data science masters provides a logical and rigorous perspective on human behaviour combined with data science skills which are valued by a wide range of employers around the world, in banking, business, consulting, government and academia.

Our graduates now work in academia, government and the private sector, at organisations such as Barclays, Bloomberg, Deloitte, Economist Intelligence Unit, Goldman Sachs, IBM, PwC, and Thomson Reuters.

Module Details

Core modules

 

  • Big Data Economics
  • Machine Learning for Economics
  • Econometric Theory
  • Economic Data Analysis
  • Economic Research Methodology

 

One from:

 

  • Microeconomic Theory
  • Macroeconomic Theory

 

Optional modules

Three from:

  • Advanced Macroeconomic Methods
  • Applied Microeconometrics
  • Financial and Macroeconometrics
  • Economics of Corporate Finance
  • International Macroeconomics
  • Macroeconomic Theory
  • Microeconomic Theory
  • Monetary Theory and Practice
  • Time Series Econometrics

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