MAData Analytics for Business and Society
| Study location | Italy, Venice |
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| Type | Master's degree, full-time |
| Nominal duration | 2 years (120 ECTS) |
| Study language | English |
| Awards | MA |
| Course code | EM14/GGG/2020 |
| Tuition fee | €2,300 per year |
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| Application fee | €30 one-time This non-refundable fee allows you to apply for admission to a maximum of two programmes of study. |
| Entry qualification | Minimum 3-year bachelor's degree (or higher) A minimum three-year undergraduate degree is required. READ MORE ABOUT THE PRELIMINARY EVALUATION OF YOUR APPLICATION Admission to this programme requires you to:
MINIMUM REQUIRED CGPA MINIMUM CURRICULAR REQUIREMENTS
In order to determine if you satisfy these curricular requirements, the programme’s Teaching Committee will evaluate your undergraduate transcript of records and examine your CV. READ MORE ABOUT THE MINIMUM CURRICULAR REQUIREMENTS The entry qualification documents are accepted in the following languages: English / Italian. If your documents are not in English or Italian, please upload the original documentation or a verified copy of it AS WELL AS a professional translation in English or Italian. You can obtain professional translations either in your country or in Italy, and they can be issued by professional translators, a local court of law or court interpreters. |
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| Language requirements | English A minimum B2-level knowledge of English is mandatory for enrolment. LANGUAGE CERTIFICATIONS WE RECOGNIZE You can apply to this programme even if you have yet to obtain a language certification, but you will need to provide one in order to complete your enrolment. Please note: Ca’ Foscari University does not conduct any test to assess your knowledge of English as part of the application procedure. |
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| Other requirements | A motivation letter must be added to your application. Please prepare a dedicated letter of motivation to be considered by the Teaching Committee of the master’s degree in Data Analytics for Business and Society. Well-received letters are always prepared specifically with this programme in mind. Specific requirements for Non-EU applicants: TEST TO DETERMINE POSSESSION OF ADEQUATE PERSONAL PREPARATION Prepare yourself to take the test by using the TEST SIMULATOR |
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Overview
PROGRAMME OVERVIEW
This programme prepares you to give businesses a competitive advantage through the use of data analysis.
As a student, you will acquire the data processing skills you need to interpret and analyse complex phenomena in the fields of economics, strategy, marketing, human resources, finance, accounting and the social sciences in general. You will also hone advanced skills connected with machine learning techniques for extracting predictive patterns and models from digital data.
EXPLORE THIS PROGRAMME’S STUDY PLAN
DOUBLE DEGREE OPPORTUNITIES
Students enrolled in this programme have the opportunity to obtain an international double degree with the Université Aix-Marseille (France), the City, University of London, or the Henley Business School, University of Reading (UK).
LEARN MORE ABOUT OUR DOUBLE DEGREE OPPORTUNITIES
Programme structure
This programme includes the following components:
- course work
- curricular internship, which can be carried out in Italy or abroad
- final thesis
You can also apply to carry out one of the double degrees outlined above, which would involve spending your second year of study at a partner university. Alternatively, you can request to complete one or two semesters at a partner university through Ca’ Foscari’s exchange programmes.
EXPLORE OUR EXCHANGE PROGRAMMES
Career opportunities
As a graduate equipped with solid theoretical and practical training, you will be an asset to companies who are not only seeking to generate a competitive advantage, but also to create new business models.
You will be ready for career opportunities in the tertiary sector and public administration – for example, working in the development and management of innovative, databased services – or in the scientific, technological, biological or healthcare fields, supporting sector specialists. Alternatively, you could choose to work in the economics and finance sector, managing complex valuation and pricing models.