ECON1017 2025-26 Economics with Data This module gives an introduction into economic policy analysis that is based on empirical data. A range of economic policy questions covering different areas of economics will be presented. Policy recommendations will
University of Southampton · England · ECON1017
ECON1017 2025-26 Economics with Data This module gives an introduction into economic policy analysis that is based on empirical data. A range of economic policy questions covering different areas of economics will be presented. Policy recommendations will is a subject at University of Southampton, England. It covers topics like econometrics, economic-history, economics, quantitative-economics. It is part of 1 degree. The information below is compiled from public course material — approximate, not official.
University of Southampton
ECON1017
3.00
Topics covered
Degrees that include ECON1017 2025-26 Economics with Data This module gives an introduction into economic policy analysis that is based on empirical data. A range of economic policy questions covering different areas of economics will be presented. Policy recommendations will
Frequently asked questions
What is ECON1017 2025-26 Economics with Data This module gives an introduction into economic policy analysis that is based on empirical data. A range of economic policy questions covering different areas of economics will be presented. Policy recommendations will about?
ECON1017 2025-26 Economics with Data This module gives an introduction into economic policy analysis that is based on empirical data. A range of economic policy questions covering different areas of economics will be presented. Policy recommendations will covers topics like econometrics, economic-history, economics, quantitative-economics.
Which degrees include ECON1017 2025-26 Economics with Data This module gives an introduction into economic policy analysis that is based on empirical data. A range of economic policy questions covering different areas of economics will be presented. Policy recommendations will?
ECON1017 2025-26 Economics with Data This module gives an introduction into economic policy analysis that is based on empirical data. A range of economic policy questions covering different areas of economics will be presented. Policy recommendations will is part of 1 degree, including BSc Economics with Data Science Typical offer: AAA UCAS course code: L115 Duration: 3 years.
How many credit points is ECON1017 2025-26 Economics with Data This module gives an introduction into economic policy analysis that is based on empirical data. A range of economic policy questions covering different areas of economics will be presented. Policy recommendations will?
ECON1017 2025-26 Economics with Data This module gives an introduction into economic policy analysis that is based on empirical data. A range of economic policy questions covering different areas of economics will be presented. Policy recommendations will at University of Southampton is typically around 3.00 credit points. Approximate — confirm with the university.
Where is ECON1017 2025-26 Economics with Data This module gives an introduction into economic policy analysis that is based on empirical data. A range of economic policy questions covering different areas of economics will be presented. Policy recommendations will taught?
ECON1017 2025-26 Economics with Data This module gives an introduction into economic policy analysis that is based on empirical data. A range of economic policy questions covering different areas of economics will be presented. Policy recommendations will is taught at University of Southampton, England.
Studying ECON1017 2025-26 Economics with Data This module gives an introduction into economic policy analysis that is based on empirical data. A range of economic policy questions covering different areas of economics will be presented. Policy recommendations will?
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Sources: University of Southampton public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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