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The Master in Quantitative Economics offers solid training in economics and quantitative methods, entirely taught in English. At the end of your master degree, you will have gained an excellent command of quantitative methods used in economics, including innovative techniques for Big Data processing, allied with a deep understanding of the economic decision-making process.
During your Master first year, you will learn about both the fundamentals of economics and data science, through intensive computer programming courses. You will then specialize in a specific field through one of the two Master 2 tracks: The Master 2 Digital Economics, oriented to professional outcomes, deepens your knowledge in Data Science techniques in link with business decisions. The Master 2 Quantitative Economic Analysis, more oriented toward research in economics, allows you to deepen your understanding of economic issues still with a quantitative approach. The combination of a deep knowledge in economics and a solid command in data science offered by the Master leads to a large spectrum of job market outcomes, as economic researcher, applied economist or data analyst in various public, academic or private sectors.
Program overview
Main Subject
Economics and Econometrics
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Master in Quantitative Economics offers solid training in economics and quantitative methods, entirely taught in English. At the end of your master degree, you will have gained an excellent command of quantitative methods used in economics, including innovative techniques for Big Data processing, allied with a deep understanding of the economic decision-making process.
During your Master first year, you will learn about both the fundamentals of economics and data science, through intensive computer programming courses. You will then specialize in a specific field through one of the two Master 2 tracks: The Master 2 Digital Economics, oriented to professional outcomes, deepens your knowledge in Data Science techniques in link with business decisions. The Master 2 Quantitative Economic Analysis, more oriented toward research in economics, allows you to deepen your understanding of economic issues still with a quantitative approach. The combination of a deep knowledge in economics and a solid command in data science offered by the Master leads to a large spectrum of job market outcomes, as economic researcher, applied economist or data analyst in various public, academic or private sectors.
Admission Requirements
2 Years
Sep
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master's - Quantitative Economics
# =74QS Subject Rankings
24 monthsProgram duration
Economics and EconometricsMain Subject Area
Program overview
Main Subject
Economics and Econometrics
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Master in Quantitative Economics offers solid training in economics and quantitative methods, entirely taught in English. At the end of your master degree, you will have gained an excellent command of quantitative methods used in economics, including innovative techniques for Big Data processing, allied with a deep understanding of the economic decision-making process.
During your Master first year, you will learn about both the fundamentals of economics and data science, through intensive computer programming courses. You will then specialize in a specific field through one of the two Master 2 tracks: The Master 2 Digital Economics, oriented to professional outcomes, deepens your knowledge in Data Science techniques in link with business decisions. The Master 2 Quantitative Economic Analysis, more oriented toward research in economics, allows you to deepen your understanding of economic issues still with a quantitative approach. The combination of a deep knowledge in economics and a solid command in data science offered by the Master leads to a large spectrum of job market outcomes, as economic researcher, applied economist or data analyst in various public, academic or private sectors.
Program overview
Main Subject
Economics and Econometrics
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Master in Quantitative Economics offers solid training in economics and quantitative methods, entirely taught in English. At the end of your master degree, you will have gained an excellent command of quantitative methods used in economics, including innovative techniques for Big Data processing, allied with a deep understanding of the economic decision-making process.
During your Master first year, you will learn about both the fundamentals of economics and data science, through intensive computer programming courses. You will then specialize in a specific field through one of the two Master 2 tracks: The Master 2 Digital Economics, oriented to professional outcomes, deepens your knowledge in Data Science techniques in link with business decisions. The Master 2 Quantitative Economic Analysis, more oriented toward research in economics, allows you to deepen your understanding of economic issues still with a quantitative approach. The combination of a deep knowledge in economics and a solid command in data science offered by the Master leads to a large spectrum of job market outcomes, as economic researcher, applied economist or data analyst in various public, academic or private sectors.
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Scholarship Applications: Frequently Asked Questions
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