Master in Data Science
The Master in Data Science is designed to provide highly specialized training for those who have developed a strong interest in data processing, and would like to hone that skill in terms of searching for facts that can influence the decision-making processes of a company.
By applying some of the most innovative analysis methodologies available and using a wide range of instruments, the course lays the foundation for transforming raw data into operational information that can be used to resolve company problems requiring tactical or strategic decisions.
The course outline overlaps with a range of corporate functions; a linking position, placed within a team of experts responsible for company growth dynamics. With a view to increasing the impact of Data Science processes, the course includes a module dedicated to management communication techniques, which are vital if students are to become representatives capable of dealing with an organization’s senior management.
People who enroll in the Master in Data Science want to learn how to manage a big data business, and are aware of the opportunity that this presents in terms of generating value. Their ability to interpret signals and get results sets them in good stead for a career in medium and large companies or consultancies, realizing their ambition to occupy strategically important roles.
The Master is structured into two terms of classroom-based lessons in English and 600 hours of work experience over a total of 12 months. The training involves a range of skills designed to bring out the three core competency areas: business economics, IT and, lastly, speculative analysis or statistical mathematics. One strength of the Master is that it is not limited to a specific company’s software; instead, participants can experience a range of programming and analysis tools, including open source software.
Aimed for persons which have a Bachelor's Degree ( must have been obtained at least two years before the enrollment deadline)
- Bachelor's Degree (must be obtained by the enrollment deadline)
- English language proficiency
February, 25 2020 (Round I)
May, 26 2020 (Round II)
July, 14 2020 (Round III)
March 4-5, 2020 (Round I)
June 3-4, 2020 (Round II)
July 22-23, 2020 (Round III)
May 13, 2020 (Round I)
September 4, 2020 (Round II and III)
Does this course require proof of English proficiency?
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- Field Work Laboratory
- Big Data
- Big Data Laboratory
- Business Intelligence & Data Warehouse
- Customer & Marketing Analytics
- Data Mining
- Data Science In Manufacturing
- Digital Analytics
- Humanities And Communication
- Machine Learning For Classification
- Performance Measurement System
- Social Data Science
- Statistics And Data Analysis
- Supply Chain And Operation Analytics
- Text Mining
Scholarships & funding
There are scholarships of 6,000 euros and scholarships of 4,000 euros. All applicants will be considered for a scholarship – no specific application is required. The scholarships are awarded over the course of every round of selection and if you have performed well enough to merit one of them, you will be informed at the moment of admission.
For more information about the scholarship please visit university website.
About this institute
Bologna Business School
BBS is the Business School of the University of Bologna, the oldest university in the Western worldBBS ranks among the most innovative business schools in Europe and is one of the most reputable institutions in Italy. Interdisciplinary outlook, industry integration, and...
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