{"id":5822,"date":"2021-05-13T15:49:10","date_gmt":"2021-05-13T13:49:10","guid":{"rendered":"https:\/\/www.orienta.univpm.it\/data-science-for-business-management\/"},"modified":"2026-04-28T13:36:13","modified_gmt":"2026-04-28T11:36:13","slug":"data-science-for-economics-business-and-finance","status":"publish","type":"page","link":"https:\/\/www.orienta.univpm.it\/en\/our-courses\/economics\/data-science-for-economics-business-and-finance\/","title":{"rendered":"Data Science for Economics, Business and Finance"},"content":{"rendered":"

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Data Science for Economics, Business and Finance<\/h2>\n

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Faculty of Economics \u201cGiorgio Fu\u00e0\u201d<\/h4>\n

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Data Science for Economics, Business and Finance<\/h3>\n

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Area<\/td>\nEconomics<\/td>\n<\/tr>\n
Degree Code<\/td>\nLM – DATA<\/td>\n<\/tr>\n
Language<\/td>\n\n
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  • Curriculum Data Science for Finance and Economics<\/em> \u2013 Fully offered in English<\/span><\/li>\n
  • Curriculum Data Science and Business Analytics<\/em>\u00a0\u2013 Partially offered in Italian<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Admission<\/td>\nFree \u2013 the adequacy of students\u2019 knowledge will be tested<\/td>\n<\/tr>\n
Venue<\/td>\nAncona<\/td>\n<\/tr>\n
Lectures<\/td>\nOn site<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Features and aims of the course<\/h3>\n

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This new program trains experts in big data analysis and quantitative methods applied to economic, business, and financial contexts. It combines technical skills (programming, statistics, econometrics, machine learning) with advanced knowledge in business analytics and financial economics.[\/vc_column_text][vc_empty_space height=”50px”][qode_elements_holder background_color=”#f0f0ef” number_of_columns=”one_column”][qode_elements_holder_item advanced_animations=”no” item_padding=”2% 2% 2% 2%” custom_class=”tab-plus”]

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\n\n\t \n LEARNING OBJECTIVES <\/span>\n<\/span>\n\n \n <\/span>\n <\/span>\n <\/span>\n<\/span>\n<\/h4>\n
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\n [vc_column_text css=””]DSEBF master degree offers two different curricula, designed to fit your own personal professional career paths; there is a common base in both curricula: data analysis.
There is a core of courses that are common to all students. Students can specialize their study plan towards business analytics and data engineering or finance analytics and econometrics.<\/p>\n