Data Analytics for Economics and Management
- Abschluss: Master
- Sachgebiet(e): Angewandte Informatik, Data Science, Informatik, Informationstechnik (Lehramt), Wirtschaftsmathematik, Wirtschaftswissenschaften, Ökonomie
- Regelstudienzeit: 4 Semester
- Hauptunterrichtssprache: Englisch
- Studienform(en): Internationaler Studiengang, Teilzeitstudium, Vollzeitstudium
- Standort(e): Bozen
- Trägerschaft: Ausländische Hochschulen
Course description
This programme 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 various key processes and strategic decisions in the organisations in which they will work.
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.
Skilled data analysts are some of the most sought-after professionals in the world now, since any company using data also requires staff with a high level of analytic competency. 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.
Universitätsplatz 1
39100 Bozen
Tel: 0039 0471 012100
Fax: 0039 0471 012109
E-Mail: apply@unibz.it
In order to gain admission, candidates must have obtained certain curricular requirements through bachelor degrees, master degrees, or single subject courses. Please visit the website of this study programme for detailed information.
A further requirement for admission is proof of level B2 in English.
- Schwerpunkte:
- Econometrics, Business Analytics, Computer Science, Machine Learning, Data Analysis and Prediction
Early Bird Application: 03/03 - 06/05/2025 (by noon local time)
Late Application: 28/05 - 17/07/2025
Classes: from end of September to mid-June
Bemerkung:
EU citizens can apply for a scholarship granted by the Autonomous Province of Bozen-Bolzano- Zulassungssemester:
- annually in the winter semester
- Zulassungsmodus:
- Bachelor grades and Language proficiency (English B2)
- Zugangsvoraussetzungen:
In order to gain admission, candidates must have obtained certain curricular requirements through bachelor degrees, master degrees, or single subject courses. Please visit the website of this study programme for detailed information.
A further requirement for admission is proof of level B2 in English.
- Schwerpunkte:
- Econometrics, Business Analytics, Computer Science, Machine Learning, Data Analysis and Prediction
Early Bird Application: 03/03 - 06/05/2025 (by noon local time)
Late Application: 28/05 - 17/07/2025
Classes: from end of September to mid-June
- Studienbeitrag:
- 1200 € per year
- Studienbeitrag (Bemerkung):
- EU citizens can apply for a scholarship granted by the Autonomous Province of Bozen-Bolzano
- Fakultät*:
- Faculty of Economics and Management
- Akkreditierung*:
- staatlich
-
The programme is divided into two tracks: Data Analytics for Economics and Business Analytics. -
Ideal Student-Lecturer Ratio
Structure of the course
The programme is divided into two tracks:
- Data Analytics for Economics
- 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.
