The International Master in Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM.
The programme provides young and highly motivated candidates with the knowledge, skills and competencies required to meet the accelerating demand for data scientists. The course is designed to enhance the managerial talent by harnessing the power of data and turning data into knowledge and business value.
The course is divided into six major modules: General Management, Data Management and Warehousing, Fundamentals of Statistics and Data Visualization, Predictive Analytics and Business Applications, Analytics for Management and Elective courses. The educational programme requires the completion of a final project work, which consists either of a curricular in-company internship, supervised by a faculty member, or of a master thesis that will be defended as final exam.
Students will have the opportunity to specialize their master by following elective concentrations on topics such as: Analytics for Finance, Analytics on customer experience, Social Media Marketing, Analytics for Supply Chain Management. Participants may follow elective courses also in one or more business schools in the network of international MIP partners.
Admissions Deadlines Applications have to be submitted online on: www.applyformasters.net.
Candidates applying before 31st December 2015 will be eligible for the Early-Bird tuition fee waiver amounting to € 1000. For more information and application assistance, please write to firstname.lastname@example.org
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Recipient: MIP Politecnico di Milano
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