Master's Degree in Business Information Technology in Rome in Italy

Find Masters Programs in Business Information Technology 2017 in Rome in Italy

Business Information Technology

A masters is awarded to students who have completed postgraduate level study in a specific field of study or area of professional practice while demonstrating a high level of mastery during the process.

Business information technology programs give students the skills they need to understand the connection between the information technology industry and private companies. Students will also learn how to apply I.T. principles in a corporate environment.

Italy, officially the Italian Republic, is a unitary parliamentary republic within the European Union, located in Southern Europe. To the north, it borders France, Switzerland, Austria, and Slovenia along the Alps.

For those who are interested in studying in a capital city with a rich heritage, Rome is the right place. It has distinctive universities such as the University of Rome that provides degree programs in a variety of disciplines like history and Engineering. This city is peaceful and ideal to live.

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Masters Degree in Data Science

Sapienza University of Rome
Campus Full time 2 years October 2017 Italy Rome

The remarkable increase in the volume and complexity of available data and new technologies that have been developed to process them requires a combined multi-disciplinary approach to design an overall strategy aimed at transforming data into useful information. [+]

Masters in Business Information Technology in Rome in Italy. The remarkable increase in the volume and complexity of available data and new technologies that have been developed to process them requires a combined multi-disciplinary approach to design an overall strategy aimed at transforming data into useful information. Key ingredients to develop a successful strategy are data manipulation and visualization, large scale computing, statistical modelling, learning techniques, algorithmic thinking. Laurea Magistrale in Data Science is a new Master's degree taught in English. It is a joint initiative within the i3S Faculty combining the expertise of four Departments Informatics (DI) Department of Computer, Control and Management Engineering (DIAG) Information Engineering, Electronics and Telecommunications (DIET) Statistics (DSS) This Master's program provides a solid and modern preparation to understand and manage the multi-facet aspects of carrying out a complete data analysis, including acquisition, management, and statistical analysis. Admission To guarantee that students have the required background, there are some requirements that candidates should satisfy. For Italian students, these are: They must hold a 3-year bachelor's degree (laurea trienale) The must have acquired at least 90 credits in the following scientific sectors: Mathematical sciences: MAT/* Informatics: INF/01 Physics: FIS/* Economical and statistical sciences: SECS-P/*, SECS-S/* Industrial engineering: ING-IND/* Computer engineering: ING-INF/* They must possess basic knowledge from some of the following areas: Matematics: Differential calculus and integration in one or multiple real variables, basic notions of linear algebra and analytical geometry in the Euclidean space Probability: Random variables, distributions and mean values, basic distributions, convergence of sequences of random variables Informatics: Programming principles, knowledge of at least one of the following programming languages: C, C++, C#, Java, Python They must know the english language at a level of at B2 Course Plan First year Semester I ALGORITHMIC METHODS OF DATA MINING AND LABORATORY 9 ECTS FUNDAMENTALS OF DATA SCIENCE AND LABORATORY 9 ECTS STATISTICAL METHODS IN DATA SCIENCE AND LABORATORY I 6 ECTS INTELLECTUAL PROPERTY COMPETITION AND DATA PROTECTION LAW 6 ECTS ECONOMICS OF NETWORK INDUSTRIES 6 ECTS Semester II NETWORKING FOR BIG DATA AND LABORATORY 9 ECTS STATISTICAL METHODS IN DATA SCIENCE AND LABORATORY II 6 ECTS DATA MANAGEMENT FOR DATA SCIENCE 6 ECTS CLOUD COMPUTING 6 ECTS DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY 6 ECTS DATA MONITORING ANALYSIS AND COMMUNICATION 6 ECTS STATISTICAL LEARNING 6 ECTS QUANTITATIVE MODELS FOR ECONOMIC ANALYSIS AND MANAGEMENT 6 ECTS Second year Semester I DATA PRIVACY AND SECURITY 6 ECTS SOCIAL AND BEHAVIORAL NETWORKS 6 ECTS SIGNAL PROCESSING FOR BIG DATA 6 ECTS NETWORK INFRASTRUCTURES 6 ECTS OPTIMIZATION METHODS FOR MACHINE LEARNING 6 ECTS STATISTICAL METHODS FOR OFFICIAL STATISTICS 6 ECTS EFFICIENCY AND PRODUCTIVITY ANALYSIS 6 ECTS PROBABILITY AND STOCHASTIC PROCESSES FOR DATA SCIENCE 6 ECTS DIGITAL EPIDEMIOLOGY 6 ECTS Semester II EARTH OBSERVATION DATA ANALYSIS 6 ECTS ECONOMICS OF INFORMATION 6 ECTS BIOINFORMATICS 6 ECTS [-]