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 program concludes with a Field Laboratory Work and a company internship.
THE MASTER IS AN INVESTMENT.
THE HONOR LOAN IS THE WAY TO FUND IT.
“PerTe Prestito Con Lode”, a long-term and low-interest honor loan, with no collateral required to cover the full amount of the tuition fee.
The Master in Data Science is a full-time program 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 600 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 educational sessions provide different learning methods, including lectures, simulations, discussions of case studies and presentations by companies, testimonials, and group work. The curriculum is completed with master lectures held by professionals from the worlds of business, academia, and politics, with opportunities for discussion and interaction with the business world through case histories.
Building synergies with businesses is a priority and a distinguishing characteristic of all programs of Bologna Business School, including the Master of Data Science. The School is fully dedicated to preparing students for the job market and it accomplishes this through systematic career development, with an ongoing commitment to combine the best professional projects by students with the demands of businesses.
The internship is an excellent springboard to the professional world, evidenced by the fact that six months after completing the full-time master at Bologna Business School, an average of 85% of alumni are working in a company.
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Last updated February 8, 2018