Big data deals with the quantity, nature, context, consistency and quality of large data sets. A firm grasp of mathematics and computer science is required for this field of study. Results in big data have been used in the military, public finance sector, education and more.
Electronic technologies for Big-data and Internet of things (E-BIT) is an international curriculum which imparts thorough knowledge in electronic technologies related to
Electronic technologies for Big-data and Internet of things (E-BIT) is an international curriculum which imparts thorough knowledge in electronic technologies related to the development and design of electronic devices, solid-state sensors, circuits and systems employed for acquisition, reliable storage and processing of the big data generated by Internet-of-Things applications. Several other challenges related to these issues, such as security, wireless sensor networks, automation systems, advanced computer architecture are addressed in elective courses.
There are specific enrolment procedures for each degree programme. You can find detailed information about how to apply, tuition fees and deadlines on https://corsi.unibo.it/2cycle/ElectronicEngineering/how-to-enrol...
The Master degree in Data Science and Scientific Computing (DSSC) aims to train professionals of the future: experts who are in high demand because of the digitalization
The Master degree in Data Science and Scientific Computing (DSSC) aims to train professionals of the future: experts who are in high demand because of the digitalization of society and the evolution of Industry 4.0.
The Master degree is offered by the Universities of Trieste and Udine, in collaboration with SISSA (International School for Advanced Studies), ICTP (International Centre for Theoretical Physics), and of many other research institutions and companies. DSSC is an international course and is taught in English.
Students will acquire theoretical knowledge and learn how to apply it to solve practical problems, through individual exercises, group projects, seminars, and internships. Graduates could enter directly the business world or continue their studies with a Ph.D....
Business Analytics and Big Data master program is an innovative program based on a holistic educational experience, where theory and practice are fully interlaced through
Start date: September 2019
Format: Full Time
Duration: 12 months
Tuition fee: € 16.000
Location: MIP Politecnico di Milano Graduate School of Business (Milan, Italy)
3-year Bachelor Degree in Computer Science, Economics, Engineering, Management, Mathematics, Science or Statistics
The International Master in Business Analytics and Big Data (BABD) 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 in partnership with IBM....
The Master aim to teach students how to work effectively with a heterogeneous, real-world data, and to create value from it.
The Master in Big Data Management program prepares students to work effectively with complex, real-world data and to create value from it.
Big Data Management focuses on improving the understanding of customer patterns to increase business and improve profitability. Working in big data management requires a hybrid set of competencies: computer expertise with a good knowledge of advanced statistical techniques, a thorough understanding of the business world and excellent communication skills. Finding this set of competencies in a single person is rare. They need to be developed with the right mix of classroom and field learning.
The Master in Big Data Management curriculum is designed to prepare students to create analytical models and interpret them from a business-oriented perspective. It prepares young professionals to pursue a career as a data scientist or business analyst for companies including large industrials, consulting firms and marketing specialists....