Master in Data Analytics for Economics and Management
Bolzano, Italy
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
06 May 2025
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 1,200 / per year
STUDY FORMAT
On-Campus
Introduction
Do you want to become a data specialist, learn how to handle big data, and apply cutting-edge data science techniques in business and economics? Do you want to produce predictions and results driving important processes and decisions in private or public organizations?
The Master in Data Analytics for Economics and Management program 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 organizations in which they will work.
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Admissions
Scholarships and Funding
Curriculum
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.
ECTS credits: 120
1st Year
Programming and Visualization for Data Science
- M1 - Introduction to Programming for Data Science
- M2 - Data Visualization and Exploration
Econometrics for Data Science
- M1 - Time Series Analysis and Forecasting
- M2 - Management of Economic and Business Data
Statistical Methods
- M1 - Statistical Methods for Business Analysis
- M2 - Advanced Statistics
Machine Learning
Study Path - Data Analytics for Economics (Choose 2)
- Financial Mathematics
- Financial Econometrics
- Economic Policy
- Methods for Public Policies Evaluation
Study Path - Business Analytics (Choose 2)
- Network Thinking and Agent-based Modeling
- Marketing B2B and Sales Management
- Experiential Tourism Marketing
2nd Year
Optimization
- Optimisation Methods for Decision Making
- Optimisation Methods for Economics and Business
Data Science Applications
- Data Science Applications for Resource Optimisation, Risk Evaluation, and Sustainability
Big Data
- Big Data Methods for Economics and Business
- Statistical Methods for High-dimensional Data
- Natural Language Processing and Web Analytics
Cybersecurity and Digital Privacy
Study Path - Data Analytics for Economics (Choose 1)
- Financial Engineering and Quantitative Investment Strategies
- Applied Resource and Energy Economics *
- Sustainability Economics *
Study Path - Business Analytics (Choose 1)
- Digital Marketing Methods and Consumer Experience
- Performance Analytics for Business *
- Introduction to Blockchain (12 CP)*
Free Choice Courses
Internship (12 CP)
Thesis
* These two courses are offered in alternate years
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 150 hours in the local administrations, in the Chambers of Commerce, in public companies (e.g. health, transport, school), in non-profit organizations or European or international organizations, depending on the availability of places and your preferences.
Program Tuition Fee
Career Opportunities
This study program 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 Ph.D. 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 organizations since any company using data also requires staff with a high level of analytic competency.