The Master in Data Science is designed for recent graduates interested in management and data analysis and whom would like to take on a role which is central to any business and its value creation: the Data Scientist, having already become one of the most sought-after experts 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 being to obtain operational indications and to identify new business opportunities.
In one word: Big Data, but not exclusively. Companies, in fact, have both a need and an urgency to manage the acquisition, presentation, sharing, analysis and visualization of data.
The 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, am understanding of the technological aspects and knowledge of business dynamics.
This Master creates professionals with across-the-board skills whom are able to relate with the company’s management.
The program concludes with a Field Laboratory Work and a company internship.
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 structure of the Master is divided into three terms:
- First cycle: December 2016 – April 2017
- Second cycle: April 2017 – July 2017
- Internship: August 2017 – December 2017
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.
This school offers programs in:
Last updated March 8, 2016