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Free University of Bozen-Bolzano

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Master in

Data Analytics for Economics and Management

Do you want to become a data specialist, learn how to handle big data and apply cutting-edge data science techniques in economics and business? Do you want to produce predictions and results driving important processes and decisions in private or public organizations?

Course description

This master is designed for students interested in developing state-of-the-art skills in Computing, Econometrics, Statistics and Mathematics and using them to solve a wide range of data analysis problems arising in Economics and Management.Students will learn a variety of cutting-edge techniques enabling them to extract meaningful information from large data sets and effectively communicate the results of their analysis, thus influencing several key processes and strategic decisions in the organisations where they will work.

At a glance

Italian degree class: LM-Data
ECTS credits: 120
Duration of the course: 2 years
Courses will be taught in: English
Places available: 28 EU + 2 non-EU
Campus: Bozen-Bolzano
Tuition fees: ca. € 1350 per year

Structure of the course

The programme is divided into two tracks: Data Analytics for Economics and Business Analytics.

Both tracks share a strong methodological core in Computer Science, Statistics, Mathematics, and Econometrics. The specific goals of the tracks are:

  • Provide a strong foundation in theoretical and applied Statistics and in Machine Learning, which are essential tools for developing effective models and methods for data analysis and prediction.
  •  Develop Computer Science skills that are crucial for building algorithms and programming tools suitable for the implementation and application of data analysis methods.
  • Develop a profile that combines solid quantitative skills with domain knowledge in economics and business to support management in making data-driven strategic decisions.
  • Develop problem-solving skills, teamwork skills, the ability to convey results effectively, and an understanding of ethical and legislative issues related to the use of big data.

Study course structure

People

Degree Course director: Prof. Davide Ferrari (photo)
Student Representative in the Course Council: -

Exchange programmes and internships

We currently offer exchange programmes with partner universities around the world and cooperate with an extensive network of companies for internships in Italy or abroad. Attendance in Bozen-Bolzano can be combined with an exchange with a foreign university, in Europe or elsewhere.

During the two years of the programme, you will also complete an internship of at least 100 hours in the local administrations, in the Chambers of Commerce, in public companies (e.g. health, transport, school), in non-profit organizations or in European or international organizations, depending on the availability of places and your preferences.

Career opportunities

This study programme can open a variety of exciting and well-paid career paths. Graduates will  have
acquired the skills needed to work as professional business analysts, data scientists, managers or consultants in organizations that operate in a data-driven society.

Additionally, they will acquire the background necessary for enrolling in PhD programs in fields closely connected to quantitative economics, business analytics and data science. Skilled data analysts are some of the most sought-after professionals in the world now. Because of the strong demand and very limited supply of graduates, data analysts often receive high salaries and excellent job prospects, even at the entry-level.

Data analyst jobs are available in a wide range of private industries and public organisations, since any company using data also requires staff with a high level of analytic competency.

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Application and Admission

You can find all you need to know in order to apply and gain admission to this study programme by browsing through the information below.

Subject to accreditation of the Ministry.

Early Bird Application

Application: 01/03 - 27/04/2023 (by noon local time)
Language exams: 17/03/2023 (registration: 1-10/03/2023) and 13 - 14 and 17 - 18 - 19/04/2023 (registration: 23/03-03/04/2023)
Admission procedure and publication of ranking lists: by 16/05/2023
Payment of the 1st instalment of the tuition fees: by 25/05/2023 (by noon local time)
Enrolment: 12/07 - 13/10/2023 (by noon local time) 

Late Application (only for EU citizens)

Application: 17/05 - 06/07/2023 (by noon local time)
Language exams: 26/06 - 01/07/2023 (registration: 17/05 - 18/06/2023)
Admission procedure and publication of ranking lists: by 27/07/2023
Payment of the 1st instalment of the tuition fees: by 03/08/2023 (by noon local time)
Enrolment: 27/07 - 13/10/2023 (by noon local time) 

Preparatory courses and Freshers Days

Intensive language courses: 04 - 22/09/2023 (Monday to Friday, 6 h/day)
Mathematics pre-course: 25/09 - 06/10/2023
Freshers Days: 02 - 03/10/2023

1st semester

Classes: 02/10 - 23/12/2023
Exams (extraordinary session): 14 - 22/12/2023
Holidays: 24/12/2022 - 07/01/2024
Classes: 08/01 - 27/01/2024
Exams: 29/01 - 24/02/2024

2nd semester

Classes: 04/03 - 28/03/2024
Holidays: 29/03 - 01/04/2024
Classes: 02/04 - 15/06/2024
Exams (extraordinary session): 15 - 25/05/2024
Exams: 17/06 - 13/07/2024

Autumn session

Exams: 26/08 - 29/09/2023

The Advisory Service provides support regarding your choice of study. In many cases a simple call or a short request is enough to get the relevant information (Tel. +39 0471 012100).

Study Course Page - Common Links - Economics and Management