The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world.

The data business is becoming a key sector for the European economy, the development of products and services based on data and the analysis of data collected in companies, public entities or that are available on social networks. The aim is to obtain operational indications and to identify new business opportunities.

Big Data is a big challenge in today’s world, but we are training professionals to understand and create value from this complex information. Companies, in fact, have both a need and an urgency to manage the acquisition, presentation, sharing, analysis and visualization of data.

Data Scientist is defined by the Economist as “the most interesting job of the twenty-first century, combining the skills of an IT technician, statistician, and storyteller to extract the golden nuggets hidden under the mountains of data.”

The Master in Data Science offers 3 different types of skills: solid computer training, an understanding of the technological aspects and knowledge of business dynamics.

This Master creates professionals with across-the-board skills who are able to integrate with the company’s management.


The Master in Data Science is a full-time program taught in English and structured in 1,500 hours of learning activities over 12 months of study, divided into 360 hours of lecturing, an estimated 540 hours of independent study, and 500 hours of internship.

The Master offers a series of pre-courses at the start of the academic schedule: Software programming (Python), the foundations of data and SQL, basics in descriptive and inferential statistics, explorative data analysis and the fundamentals of economics.

Classroom participation is about 30 hours per week structured in order to allow time to work in groups, while not neglecting individual students focus and management of interpersonal relationships.


The integration with companies is a priority and an ever-present feature of all programs of Bologna Business School, hence for the Master in Data Science too.

The School is fully committed to creating employability, by way of a systematic career service action, constantly focused on matching at best the students’ professional projects with the needs companies have.

The internship is an exceptional springboard, suffice it to say that six months after the end of the full-time masters at Bologna Business School on average 90% of students work in a company.

The BBS Career Service assists and supports students since the very beginning, along with a training and professional development path. This is accomplished by organizing a series of workshops, with the aim of providing the fundamental tools and resources to be appropriately prepared for the labor market.


At Bologna Business School we understand the importance of financial aid in supporting our students to achieve their educational goals. We are aware that an advanced, high-quality training path can be a significant commitment but we also truly believe that investing in one’s future always pays back. Bologna Business School is pleased to offer partial scholarships to the most meriting students.

Thanks to the agreement between Bologna Business School and Intesa Sanpaolo, participants are eligible to apply for “PerTe Prestito Con Lode”, a long-term and low-interest honor loan.

Main characteristics:

  • Loan amount equal to the enrollment fee
  • Reduced interest rate
  • No collateral required
  • Repayable in 10 years
  • Without early closing fees
Program taught in:
  • English

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Last updated February 22, 2019
This course is Campus based
Start Date
Nov 2019
12 months
14,800 EUR
Sep 30, 2019
9 May 2019 (Round I) 9 July 2019 (Round II) 30 September 2019 (Round III)
By locations
By date
Start Date
Nov 2019
End Date
Application deadline
Sep 30, 2019
9 May 2019 (Round I) 9 July 2019 (Round II) 30 September 2019 (Round III)

Nov 2019

Application deadline
Sep 30, 2019
9 May 2019 (Round I) 9 July 2019 (Round II) 30 September 2019 (Round III)
End Date