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 and supervised learning. 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.
In semester one, you will take a core module in machine learning, along with modules in microeconomics or macroeconomics, econometric theory and economic data analysis. In semester two, you will take an advanced core module in big data and choose three optional modules. You will also start work on your dissertation by taking a module in economic research methodology. After completing your semester two modules, you will undertake a 15,000-word supervised dissertation, with one-to-one support from an expert academic supervisor. This will apply the machine learning and big data techniques to an economic research question.
Modules are assessed by a combination of exams and coursework at the end of the relevant semester.
2:1 (or international equivalent) in a discipline with significant economics content, including some mathematical and quantitative methods modules; IELTS: 6.5 (no less than 6.0 in any element).
Fees and funding
No fee information has been provided for this course