|Degree:||Master of Science (MSc)|
Data Science & Big Data
|University website:||Economics and Data Science|
|Annual tuition (EEA)||13,500 GBP|
|Annual tuition (non-EEA)||25,200 GBP|
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The Economics and Data Science MSc will provide you with the knowledge of how to apply cutting-edge data science methods. These are widely used in modern economic analysis, such as Random Forests, clustering algorithms and text-as-data methods.
Through core modules, you will gain a deep understanding of how data science can inform and improve the decision making of individuals, firms and governments. You can tailor your degree with a range of optional modules and complete a dissertation where you will apply the methods you have learnt.
With this Master’s degree from Newcastle University, you will have developed the skills necessary to excel as a:
The Economics and Data Science MSc is part of the following suite of courses:
Gain advanced skills in economic theory. You'll also learn quantitative methods in econometrics and mathematical economics.
You will learn the theory, analytical tools and data analysis methods to help find solutions to deal with a variety of real-world economic problems. You'll also achieve an understanding of specialist software packages in high demand by employers.
Take on advanced topics of microeconomics and macroeconomics. This will maximise your expertise and help you develop soft skills essential for any sector.
On graduating, you'll have acquired a wide range of attributes sought after by employers. This includes:
The MSc Economics degree is a competitive qualification and is seen as a route to lead to high salaries and prospects. The programme will prepare you for jobs in different sectors, such as:
Graduates may enter roles as:
Our award-winning Careers Service is one of the largest and best in the country, and we have strong links with employers. We provide an extensive range of opportunities to all students through our ncl+ initiative.
Find more information on the website of Newcastle University Business School: