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University of Essex

Course: MSc Economics with Data Science

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Course Details

School: University of Essex

Subject area: Economics, Data Science

Level: Master of Science (MSc)

Degree duration: 1 year

Degree intake date(s): October

Annual tuition fee: £23,500

*Note: The fees quoted above are subject to change by the course provider and are for guidance only. If your application is successful, a detailed breakdown of fees will be provided with your offer.

Faculty: Faculty of Social Sciences, Department of Economics. This one-year Master of Science (MSc) program in Economics with Data Science, offered by the Department of Economics within the Faculty of Social Sciences (likely in collaboration with the Department of Mathematical Sciences or Computer Science), provides advanced training in economic theory and econometrics, combined with in-depth data science skills. The curriculum will likely cover advanced microeconomics, macroeconomics, econometrics, statistical programming (e.g., Python, R), machine learning, data visualization, and big data analysis, preparing graduates for specialized careers that require sophisticated economic understanding and advanced data analytical expertise.
Career options for graduates of this program are excellent and rapidly expanding in high-demand areas such as data science, business analytics, quantitative finance, economic consulting, and research roles in data-intensive industries and government organizations. The University of Essex's forward-thinking environment and research excellence in social sciences, combined with the advanced quantitative and data science skills gained, significantly enhance graduate employability in these competitive fields.
The University of Essex offers a forward-thinking environment and a diverse international community, providing a rich and inclusive learning experience. Essex is a centre of world-leading research excellence for the social sciences, which strongly supports interdisciplinary programs like economics with data science. The university's location offers a balance, being close to beautiful countryside while also being only an hour away from the city of London by train, providing access to both natural and urban environments and opportunities.
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