Data Science and Business Analytics

Bocconi University Campus, Milan, Italy

Shortlist

Program overview

Study Level

Masters

The Master of Data Science and Business Analytics is designed for students having a strong bent for Computational, Statistical, and Mathematical Sciences and a genuine interest in working with data. Students will be taught cutting edge techniques for extracting impactful information from large data sets and for effectively communicating them in order to influence the strategic decisions of the organizations where they will work.

The program is structured into two tracks sharing a modern quantitative core: Data Science and Business Analytics. They specifically pursue, to different extents, the following qualifying goals:

Develop a profile that combines solid quantitative skills with in-depth knowledge of corporate dynamics to support management in making strategic decisions grounded on data analysis
Develop advanced skills in Computer Science that are crucial for building algorithms and programming tools suited for the actual implementation of statistical methods
Provide a strong foundation in theoretical and applied Statistics and in Machine Learning, that is essential for identifying effective models and methods for data analysis and prediction
Develop competencies, via educational activities inside and outside the classroom, that promote teamwork skills, ability to present and discuss the results of one’s work effectively, and that promote understanding of ethical and legislative limits related to the use of large-scale databases

There currently is a huge demand for graduates in Data Science and Business Analytics on the job market. The possible career paths may be loosely related to the two tracks that characterize the program, namely: data scientist and business analyst.

You can start your application process here.

Program overview

Study Level

Masters

The program is structured into two tracks sharing a modern quantitative core: Data Science and Business Analytics. They specifically pursue, to different extents, the following qualifying goals:

Develop a profile that combines solid quantitative skills with in-depth knowledge of corporate dynamics to support management in making strategic decisions grounded on data analysis
Develop advanced skills in Computer Science that are crucial for building algorithms and programming tools suited for the actual implementation of statistical methods
Provide a strong foundation in theoretical and applied Statistics and in Machine Learning, that is essential for identifying effective models and methods for data analysis and prediction
Develop competencies, via educational activities inside and outside the classroom, that promote teamwork skills, ability to present and discuss the results of one’s work effectively, and that promote understanding of ethical and legislative limits related to the use of large-scale databases

You can start your application process here.

Tuition fee and scholarships

Scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.