Master's in Big Data in Italy

Search Masters Programs in Big Data in Italy 2017

Big Data

A masters refers to the completion of a graduate study program that prepares students to further their knowledge of a specific subject or advance their careers. The majority of masters are granted by state or public universities.

A student who does well in advanced mathematics and computer science may choose to study big data. This field deals with large data sets that must be analyzed as a unit instead of as individual points. There are applications for both the public and private sectors.

Officially known as the Italian Republic, the country is found in southern Europe. The official language is Italian and the cultural rich capital is Rome. Many of the world's oldest universities are located in Italy, in particular the University of Bologna (founded in 1088). There are three Superior Graduate Schools with "university status", three institutes with the status of Doctoral Colleges, which function at graduate and post-graduate level.

Top Master Programs in Big Data in Italy 2017

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Master in Data Science

Bologna Business School
Campus Full time 12 months December 2016 Italy Bologna

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... [+]

Best Masters in Big Data in Italy 2017. 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. Structure 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. Learning Method 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. Fees The tuition fees for the 2016/2017 academic year are 14,800 euros to be paid in several instalments, the first one upon enrollment. The fees cover all academic materials via the online learning platform, all the facilities of the Alma Bologna Business School including use of the computers and secure personal Wi-Fi accounts, access to the study areas and gym, as well as student discount in the School’s cafeteria. Free parking is also available within the grounds of the School. In addition, with your University of Bologna Student Card you will have access to all university facilities with more than 100 libraries (including online subscriptions and databases), the 3 city centre canteens and all university student related discount offers. Scholarship/Financial Aid At Bologna Business School we understand the importance of financial aid in supporting our students in achieving their educational goals. We are aware that an advanced, high quality training path can be a significant commitment but we also truly believe that investing in one’s future always pays back. Bologna Business School is pleased to offer partial scholarships to the most meriting students: there are scholarships of 6,000 euros each and scholarships of 4,000 euros each. All applicants will be considered for a scholarship – no specific application is required. Thanks to the agreement between Bologna Business School and Intesa Sanpaolo, participants are eligible to apply for “PerTe Prestito Con Lode”, a long-term and low-interest honor loan. Main characteristics: Loan amount equal to the enrollment fee Reduced interest rate No collateral required Repayable in 10 years Without early closing fees [-]

Master in Data Science (DSC)

EIT Digital Master School
Campus Full time 2 years September 2017 Italy Trento

Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. [+]

Why study Data Science? Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. What are the carier opportunities for Data Science graduates? Become a professional for a career in a highly innovative area: data science. The profession in Data Science is hailed as the “… Sexiest Job of the 21st Century,” by Harvard Business Review in October 2012. The Data Scientist is a professional who simultaneously possesses breadth and depth in scalable data management, data analysis, and domain area expertise, and who is capable of solving real-world problems. This is an opportune time to pursue training in both a challenging and rewarding new field. Join us and embark on a journey of a lifetime! Why Data Science at EIT Digital? Getting value, meaning and answering big questions, are the ultimate goals of Learning Data Science at EIT Digital. Mazen Aly Data Science Master student Eindhoven University of Technology Study Data Science at EIT Digital, where education is provided by renowned universities and where entrepreneurial data scientists of the future are come to being! Farideh Heidari Data Science Coordinator What is Data Science Master at EIT Digital all about? The newly established Data Science Master’s offers a unique academic programme, whereby students can study data science, innovation, and entrepreneurship at leading European universities. In this programme, students will learn about scalable data collection techniques, data analysis methods, and a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, and visualization, and related concepts (e.g., data access, pricing data, and data privacy). How is the programme structured? The first year will be similar at all three DSc entry point universities: Universidad Politecnica de Madrid (UPM), Eindhoven University of Technology (TU/e), and Universite Nice Sophia Antipolis (UNS) with foundations courses, such as data handling, data analysis, advanced data analysis and data management, visualization, and applications. The second year will enable students to concentrate one of six technical specialisation areas of their own choosing. See: specialisations below. An important part of the programme are the Innovation and Entrepreneurship (I&E) courses. The I&E basics course provides an introduction to business & management. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT-Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project. Where can I study if I choose Data Science? Entry - 1st year Eindhoven University of Technology (TU/e) Universidad Politecnica de Madrid (UPM) Universite Nice Sophia Antipolis (UNS) Exit - 2nd year, specialisation Internet of Things (IoT) at UPM Multimedia and Web Science for Big Data at UNS Process Mining at High Tech Systems, Healthcare, Visual Analytics or Big software at TU/e Distributed Systems and Data Mining for Really Big Data at KTH Design, Implementation, and Usage of Data Science Instruments at TUB Specific Admission Requirements A B.Sc. degree in electrical engineering/ electronics, computer engineering, computer science or information technology is required. The studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics. [-]

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. [+]

Best Masters in Big Data in Italy 2017. 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 [-]

International Master in Business Analytics & Big Data (BABD)

MIP Politecnico di Milano School of Management
Campus Full time 12 months September 2017 Italy Milan

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. [+]

In partnership with CEFRIEL Start date: September Format: Full Time Duration: 12 months Tuition fee: € 14,000 Language: English Location: Milan Admission Requirements: 3 or 4 year Bachelor's degree (minimum 180 ECTS) 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. With the Big Data revolution an ever-growing number of leading organizations and governments are launching big data initiatives to gain actionable insights, drive key decisions and improve performance across all business functions. Welcome to the International Master in Business Analytics and Big Data designed to train a new generation of data-savvy professionals able to manage complex business analytics problems across a variety of different industries and environments. This truly unique programme is jointly offered by MIP and CEFRIEL- Politecnico di Milano. Be prepared for the jobs of the future as Business Analyst and Big Data Manager. The Partners MIP Politecnico di Milano: a global business school accredited by EQUIS, AMBA, EFMD and ranked by the Financial Times amongst the best European business schools, further complemented by it's deeply rooted knowledge and reputation in the luxury value chain management. The quality of the competencies expressed are also supported by the strong links developed with the Faculty of Engineeirng and Design of Politecnico di Milano, which is the largest one in Europe. CEFRIEL – Politecnico di Milano is a not-for-profit center of excellence in the field of Digital Innovation, established by Politecnico di Milano in 1988. CEFRIEL shareholders include Universities, Public Administration, and leading multinational companies in ICT and Media sectors. Since its inception, CEFRIEL mission has been to strengthen existing ties between the academic and business worlds through a multidisciplinary approach that innovates products and services with ICT and Design. CEFRIEL competences span all areas of ICT expertise, from microelectronics to the most advanced user experience models, addressing both technological and project management issues. CEFRIEL is actually able to merge technical and design skills with business and process expertise, thus working side by side with companies to create innovative and one-of-a-kind solutions, and offering advanced educational programs to graduate students and innovation executive professionals. Moreover, the center actively participates in European research projects and contributes to the dissemination of their results. CEFRIEL offices are located in Italy and USA, Cincinnati (Ohio), so to address the growing innovation demands both of its national and international clients. IBM is a globally integrated technology and consulting company headquartered in Armonk, New York. With operations in more than 170 countries, IBM attracts and retains some of the world's most talented people to help solve problems and provide an edge for businesses, governments and non-profits. Innovation is at the core of IBM's strategy. The company develops and sells software and systems hardware and a broad range of infrastructure, cloud and consulting services. Today, IBM is focused on five growth initiatives - Cloud, Big Data and Analytics, Mobile, Social Business and Security. IBMers are working with customers around the world to apply the company's business consulting, technology and R&D expertise to enable systems of engagement that deliver dynamic insights for businesses and governments worldwide. WHO IS IT DESIGNED FOR? The programme is specifically conceived for graduates who wish to acquire and develop advanced quantitative skills to analyze data describing transactions, interactions or people's behavior, in order to extract relevant insights, optimize actions and drive innovation. Students backgrounds reflect the dual focus of the master, coming from computer science, economics, engineering, management, mathematics, science or statistics. While having different academic backgrounds, students all share a deep interest in analytics and big data technologies for creating business value. Relevant career positions revolve around the roles of data scientist, business analyst and big data manager, and might include among others: Data Users: Business folks in the end user corporate community able to exploit insights from data to make better decisions. Data Producers: Data analysts able to use the appropriate tools to convert analytical problems into analytical solutions. Data Interpreters: Professionals able to understand both users and producers establishing a successful communication among them. Modules The course is entirely taught in English and has a duration of 12 months starting in September. The programme is divided into seven major modules: General Management, Data management and Warehousing, Foundamentals of Statistics and Data Visualization, Predictive Analytics and Business Applications, Analytics for Management and Electives. The master will end with the Project Work to present. Admissions IDEAL CANDIDATES FOR THE PROGRAMME The International Master in Business Analytics and Big Data is specifically designed for young graduated talents that want to be prepared for the jobs of the future as Business Analyst and Big Data Manager. Students with 3 or 4-year Bachelor's degree (minimum 180 ECTS) in the areas of Computer Science, Economics, Engineering, Management, Mathematics, Science or Statistics from Accredited Institutions are eligible for the programme. APPLICATIONS FOR THE 2016 PROGRAMME Applications for the September 2016 intake are now closed. Applications for the September 2017 intake will open in September 2016. Non-EU students are encouraged to apply at least three months before the start of the programme in order to allow enough time for the Declaration of Value (DOV) procedure for Italy and establishment of the student visa. If you would like more information about the International Master in Business Analytics and Big Data, please download our programme brochure by clicking the link, or write to infomasters@mip.polimi.it and we will respond to your requests in a timely fashion. Visit the BABD Frequently Asked Questions page to find out more! [-]