Summary 
Academic year 2024/2025

Level of qualification

Master's Degree Programme

Ministerial degree code

LM-91 (Techniques and methods for the information society)

Announcements and Regulations

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.

Double and Joint Degree

Double Degree with Henley Business School, University of Reading
Enrolled students can obtain the Master’s Degree in Data Analytics for Business and Society and one Master’s Programme among the following:

  • Finance and Financial Technology (FinTech) (reserved to students attending the Fintech/BigTech recommended path);
  • Information Management & Digital Business – Big Data in Business (reserved to students attending the Business Application recommended path)

Admission: selection call.

Double Degree in Economics with Université Aix-Marseille
It allows selected students to attend courses in both Universities and obtain a Double Degree:

  • Master’s Degree in Data Analytics for Business and Society
  • Master’s in Economics (path: Econométrie, Big Data et Statistiques)

Admission: selection call.

Double Degree with City University London
Admission: selection call.

Where

Department of Economics - San Giobbe Cannaregio 873 - 30121 Venice
For further information please contact the Campus of Economics,  campus.economico@unive.it

Head of studies

Prof. Agar Brugiavini (Teaching Committee Coordinator,  brugiavi@unive.it)

Language

English

Access to the programme

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.

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.

Admission with international qualification

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.

Course overview

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.

Occupational profiles

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:

  • public and private entities operating in the tertiary sector, in particular dealing with the development and management of innovative data-based services;
  • regulatory authorities, intervention agencies at various levels such as ministries, local authorities and international organisations working with large databases;
  • finance companies: banks and insurance companies, consultancy firms;
  • public or private research and development centres and study centres in general, operating in the fields of science/economics, finance, technology, biology and healthcare, which use data analysis extensively.

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:

  • companies operating in the industrial sector and all sizes of manufacturing companies that analyse and use data as a source of information within the production process;
  • entities and organisations dealing with the development and management of innovative data-based services;
  • finance companies: banks and insurance companies, consultancy firms, rating agencies;
  • professional organisations providing consultancy and analysis services.

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:

  • public and/or tertiary sector entities, in particular dealing with the development and management of innovative data-based services;
  • finance companies: banks and insurance companies, consulting firms, rating agencies, investment funds, hedge funds;
  • public or private companies operating in the healthcare sector: management of regional health authorities, healthcare consultancy agencies, pharmaceutical companies, marketing and development agencies;
  • public or private, national and international research and development centres and study centres in general, working in the fields of science/economics, finance, technology, biology and healthcare, which use data analysis extensively

Attendance

Open

Examination assessment and graduation

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.

Access to further studies

Professional Master’s Programmes (1st level and 2nd level) and PhD programmes.

Last update: 14/03/2024