Master's Degree Programme in
Data Analytics for Business and Society
Data Analytics for Business and Society
Degree-seeking students: apply
Department of Economics - San Giobbe Cannaregio 873 - 30121 Venice
For further information please contact the Campus of Economics, campus.economico@unive.it
The teaching regulations of the study course depend on the following organisational aspects: educational goals, access methods, study plan, exams, final exam, job opportunities, etc. Throughout their university career, students must refer to the teaching regulations enforced from their matriculation.
Programmed, 65 available positions
Quota reserved to non-EU students residing outside Italy: 5 seats
Details about the assessment procedures are available in the webpage dedicated to test and admission requirements.
In order to be accepted onto the master's degree course, students must hold a degree or another equivalent accepted qualification awarded abroad. Students must also have an adequate level of personal preparation. A minimum proficiency level of B2 in English is required.
It is compulsory to check students’ level of personal preparation; this involves achieving a minimum degree mark. For details of the curriculum requirements and how personal preparation is assessed, please refer to the Master’s Degree Programme Regulations.
Applicants with international qualification must have obtained a bachelor’s degree that is the result of at least 3 years of study. The preliminary evaluation of the qualification is mandatory. Procedures and deadlines are available on the dedicated online platform.
International qualification will be evaluated by the designated teaching committee after the pre-evaluation procedure carried out on the online platform.
Further details in the webpage dedicated to Degree-seeking students.
This course is primarily aimed at students with an economics, business studies, or management engineering background who have a keen interest in the use of big data and quantitative methods, including artificial intelligence models, useful to the design of economic policies both at the micro- and macro-economic level, to the strategic choices of companies, and to the finance and insurance fields.
The course aims to deepen both the computational, statistical, and econometric aspects related to the processing of big data and digital data, as well as the skills to interpret the underlying phenomena.
Students on the "DABS - Data Analytics for Business and Society" course will acquire data processing skills to interpret and analyse complex phenomena in the fields of economics, strategy, marketing, human resources, finance, accounting and social sciences in general. Furthermore, the course will provide advanced skills on machine learning techniques to extract patterns and predictive models from digital data.
The programme is divided into two study paths, "Business Application" and "Fintech and Bigtech", which share the same quantitative training, with a strong basis of information technologies and the learning methods that are typical of artificial intelligence, statistical learning methods and mathematical optimisation methods to support decision-making and risk analysis.
Ca' Foscari University of Venice offers international educational programmes designed in collaboration with one or more partner universities, entailing the attendance of part of the study path abroad. At the conclusion of these programmes, selected students obtain a Double Degree (a diploma from Ca' Foscari and one issued by the partner university) or a Joint Degree (single degree jointly awarded by the member universities of the consortium delivering the programme), depending on the provisions of the agreements with the partner universities and the different national regulations.
Double and Joint Degrees available:
The educational activities include classroom teaching, workshops and internships, in order to acquire wide-ranging skills that can be readily transferable into the world of work.
During the whole university career, the various skills and knowledge acquired by students will be assessed through written and oral examinations.
The final examination consists of writing and discussing a thesis, which students must prepare under the guidance of a supervisor. This can be a theoretical or empirical dissertation, organised into several chapters, and must contain a complete index, elements of originality in developing the subject matter and an exhaustive bibliography.
The thesis will be discussed in front of an examination board, whose members will evaluate the quality of the work in a joint session, awarding a final mark.
Professional Master’s Programmes (1st level and 2nd level) and PhD programmes.
Data Analysis Specialist
This degree course provides graduates with solid and specific knowledge, allowing them to hold positions of responsibility in one or more of the following areas of employment:
Business Data Analysis Specialist
This degree course provides graduates with solid and specific knowledge, allowing them to hold positions of responsibility in one or more of the following areas of employment:
Social Data Analysis Specialist
This degree course provides graduates with solid and specific knowledge, allowing them to hold positions of responsibility in one or more of the following areas of employment:
