Testimonials
Data analysis fascinates me because it transforms complex datasets into meaningful insights
The Applied Data Science dedicated minor at Utrecht 木瓜福利影视 has equipped me with hands-on skills in data acquisition, applying advanced statistical and econometric models using a range of programming languages and presenting findings effectively. Data analysis fascinates me because it transforms complex datasets into meaningful insights, especially through visualisation and clear communication, something I found particularly rewarding during my BSc thesis work. What makes data science extremely exciting is how it integrates statistical modeling, computational techniques and economic expertise to tackle real-world challenges, such as predicting trends or assessing policy impacts. The teaching at U.S.E. is outstanding, with supportive professors and a collaborative student environment. The new Master's in Economics and Data Analysis programme offers an excellent opportunity to develop these skills further and apply them to pressing societal and economic concerns, a perfect step for anyone seeking to make a significant difference.
Student Filippo Sallustio (Italy)
The challenge lies in translating large and complex datasets into clear insights and actionable conclusions and advice.
As sector economists at ABN AMRO, we are encountering increasingly complex economic and social challenges, such as the climate transition and economic inequality. To comprehend these developments and effectively guide our clients through their transition processes, we require not only a profound understanding of current economic and societal issues but also advanced analytical skills. Complex problems necessitate a creative approach, where the integration of data science into economic analyses yields novel and valuable insights.
Within the bank, we have access to vast amounts of aggregated and anonymised transactional data: a treasure trove of information crucial for understanding consumer behaviour, economic trends and the impact of policy measures. The challenge lies in translating large and complex datasets into clear insights and actionable conclusions and advice. To analyse and interpret the data responsibly, in-depth knowledge of statistics, data modelling and causality is essential. Increasingly, the focus is on the smart use of data. The economist of the future will adeptly combine economic theory with advanced data analysis and qualitative research.
Gerarda Westerhuis - sector economist Retail and Leisure ABN-AMRO
Student Koen on his expectations about the new MSc in Economics and Data Analysis
During my Bachelor Economics and Business Economics, I followed the minor Applied Data Science for Economists. I was already interested in both economics and data analysis in high school, making my study choice quite difficult, but this programme at Utrecht School of Economics fortunately gave me the opportunity to combine them. The two subjects are a very good combination: having an economic theory is great, but using data analysis you can actually prove the relationship and see how it works in the real world. This makes the economic topics that you learn a lot more practical and interesting.
Next to teaching me basic programming, the most important thing I learned is the amount of possibilities the combination of data science and economics has. There are so many different ways to analyze data, each with its own pros and cons. And to then make a proper, easily understandable visualisation out of your results can also be done in many different ways. This is all thought in a format with a large focus on practical assignments and a good balance between self-study and lectures/tutorials. I believe this Master's programme will not only build on what I've already learned, but also firmly equip me with the tools to bridge the gap between economic theory and data analysis.
Student Koen van Vuure (the Netherlands)
At TNO we would welcome these students as they have the skills to build the future economy
In today鈥檚 rapidly digitising world, data plays a crucial enabling role in nearly every innovation and economic development. Yet, while the digital transformation transcends traditional sectors and national boundaries, economic thinking often remains confined to them. Also, the growing availability of data makes it increasingly important for economics students to learn how to link diverse datasets and apply advanced analytical and projection tools, including AI. The Master's in Economics and Data Analysis equips students with exactly these new analytical thinking and skills. It empowers them to approach economic challenges with modern, data-driven methods and prepares them for a future where sound economic advice is built on smart data integration and digital insight. At TNO, we would welcome these students as they are ready for the future and have the skills to build the future economy.
Wimar Bolhuis, Managing Director TNO Vector