Preuzmi Maturang aplikaciju
   




Studentski domovi

  • Studentski grad Tošin bunar 143-151, 11070 Novi Beograd

  • Kralj Aleksandar I Bulevar Kralja Aleksandra 75, 11000 Beograd

  • Studentski dom Žarko Marinović Cara Dušana 254, Zemun

  • Studentski dom Karaburma Mije Kovacevica 7b, 11000 Beograd

  • Studentski dom Vera Blagojević Kraljice Marije 48 (Vera I), Dalmatinska 37 (Vera II), 11000 Beograd

  • Studentski dom Patris Lumumba Ljubice Lukovic br 1, 11000 Beograd

  • Studentski dom Slobodan Penezić Bana Ivaniša bb, 11000 Beograd

  • Studentski dom Rifat Burdžević Milana Rakića 77, 11000 Beograd

  • Studentski dom 4. april Vojvode Stepe 320, 11000 Beograd

  • Studentski dom Mika Mitrović Kralja Vladimira 33, 11000 Beograd

  • Studentski dom Košutnjak Blagoja Parovica 156, 11000 Beograd

Studentski restorani - menze

  • Restoran Studentski grad , Tošin bunar 145 Tošin bunar 145

  • Restoran (Tri kostura) , Obilićev venac 4 Obilićev venac 4

  • Restoran Zemun (Žarko Marinović) , Cara Dušana 254, Zemun Cara Dušana 254, Zemun

  • Restoran Agronom Nemanjina 6 Nemanjina 6

  • Restoran Karaburma - Mije Kovačevića 7 Mije Kovačevića 7

  • Restoran Patris Dragice Pravice 1

  • Restoran Đušina - Đušina 5 Đušina 5

  • Restoran Rifat - Milana Rakića 77 Milana Rakića 77

  • Restoran Kralj Aleksandar (Lola 1) Bulevar kralja Aleksandra 75 Bulevar kralja Aleksandra 75

  • Restoran Voždovac Vojvode Stepe 320 Vojvode Stepe 320

  • Restoran Mika Mitrović Kralja Vladimira 133

  • Restoran Farmaceut - Vojvode Stepe 450 Vojvode Stepe 450

  • Restoran Košutnjak Blagoja Parovića 154

Studijski program - Data Analytics for Business and Society

Podaci o studijskom programu

Kategorije na sajtu: Ekonomija, bankarstvo i finansije,

Vrste studija: Strukovne

Vežbaj online: -

Gradovi: Venecija

Level of qualification
Master's Degree Programme

Ministerial degree code
LM-91 (Techniques and methods for the information society)

Where
Department of Economics - San Giobbe Cannaregio 873 - 30121 Venice
For further information please contact the Campus of Economics,  campus.economico@unive.it

Head of studies
Prof. Agar Brugiavini (Teaching Committee Coordinator,  brugiavi@unive.it)

Language
English

Access to the programme
Programmed, 65 available positions
Quota reserved to non-EU students residing outside Italy: 5 seats

Details about the assessment procedures are available in the webpage dedicated to test and admission requirements.

Admission requirements
In order to be accepted onto the master's degree course, students must hold a degree or another equivalent accepted qualification awarded abroad. Students must also have an adequate level of personal preparation.

A minimum proficiency level of B2 in English is required.

It is compulsory to check students’ level of personal preparation; this involves achieving a minimum degree mark. For details of the curriculum requirements and how personal preparation is assessed, please refer to the Master’s Degree Programme Regulations.

Admission with international qualification
Applicants with international qualification must have obtained a bachelor’s degree that is the result of at least 3 years of study. The preliminary evaluation of the qualification is mandatory. Procedures and deadlines are available on the dedicated online platform.
International qualification will be evaluated by the designated teaching committee after the pre-evaluation procedure carried out on the online platform.
European applicants and non-European applicants with a permit of stay valid for enrolment must take the onsite admission test. Non-European applicants who need a visa for enrolment will take the admission test via Skype.

Course overview
This course is primarily aimed at students with an economics and business studies background who have a keen interest in quantitative methods and the mass use of data to maintain and increase companies’ competitive advantage, emphasising the aggregate economic impact. The course aims to study the computational, mathematical and statistical aspects relating to the processing of digital data, which is nowadays produced by many different human, commercial and industrial activities, and their implications in the economic and business environment.
Students on the "DABS - DATA ANALYTICS FOR BUSINESS AND SOCIETY" course will acquire data processing skills to interpret and analyse complex phenomena in the fields of economics, strategy, marketing, human resources, finance, accounting and social sciences in general. Furthermore, the course will provide advanced skills on machine learning techniques to extract patterns and predictive models from digital data.
The programme is divided into two study paths, "Business Application" and "Fintech and Bigtech", which share the same quantitative training, with a strong basis of information technologies and the learning methods that are typical of artificial intelligence, statistical learning methods and mathematical optimisation methods to support decision-making and risk analysis.


Occupational profiles
Data Analysis Specialist
This degree course provides graduates with solid and specific knowledge, allowing them to hold positions of responsibility in one or more of the following areas of employment:

  • public and private entities operating in the tertiary sector, in particular dealing with the development and management of innovative data-based services;
  • regulatory authorities, intervention agencies at various levels such as ministries, local authorities and international organisations working with large databases;
  • finance companies: banks and insurance companies, consultancy firms;
  • public or private research and development centres and study centres in general, operating in the fields of science/economics, finance, technology, biology and healthcare, which use data analysis extensively.

Business Data Analysis Specialist
This degree course provides graduates with solid and specific knowledge, allowing them to hold positions of responsibility in one or more of the following areas of employment:

  • companies operating in the industrial sector and all sizes of manufacturing companies that analyse and use data as a source of information within the production process;
  • entities and organisations dealing with the development and management of innovative data-based services;
  • finance companies: banks and insurance companies, consultancy firms, rating agencies;
  • professional organisations providing consultancy and analysis services.

Social Data Analysis Specialist
This degree course provides graduates with solid and specific knowledge, allowing them to hold positions of responsibility in one or more of the following areas of employment:

  • public and/or tertiary sector entities, in particular dealing with the development and management of innovative data-based services;
  • finance companies: banks and insurance companies, consulting firms, rating agencies, investment funds, hedge funds;
  • public or private companies operating in the healthcare sector: management of regional health authorities, healthcare consultancy agencies, pharmaceutical companies, marketing and development agencies;
  • public or private, national and international research and development centres and study centres in general, working in the fields of science/economics, finance, technology, biology and healthcare, which use data analysis extensively

Attendance
Open

Examination assessment and graduation
The educational activities include classroom teaching, workshops and internships, in order to acquire wide-ranging skills that can be readily transferable into the world of work.
During the whole university career, the various skills and knowledge acquired by students will be assessed through written and oral examinations.

The final examination consists of writing and discussing a thesis, which students must prepare under the guidance of a supervisor. This can be a theoretical or empirical dissertation, organised into several chapters, and must contain a complete index, elements of originality in developing the subject matter and an exhaustive bibliography.
The thesis will be discussed in front of an examination board, whose members will evaluate the quality of the work in a joint session, awarding a final mark.

Access to further studies
Professional Master’s Programmes (1st level and 2nd level) and PhD programmes.




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