Talk to ExpertMaster of Science in Data Science at University of Trento Overview
University of Trento is a prominent institution among PG students looking to pursue a Master of Science in Data Science from abroad. The typical duration of the program is 2 years. It is among Italy’s top-ranked courses and is rated very highly by several prominent ranking platforms including Shiksha. Interested candidates must submit their admission applications as early as possible due to limited availability of seats.
The first year University of Trento tuition fees for its Master of Science in Data Science is around EUR 4,500. Students are also advised to plan for some other costs they may incur over the duration of studies, including accommodation, groceries, insurance, utilities among others.
Duration | 2 years |
Tuition & Fees | ₹4.71 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
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Master of Science in Data Science at University of Trento Fees
International students are required to pay University of Trento Master of Science in Data Science tuition fees as per the fee structure. The average first-year tuition fee for the course is EUR 4,500. The students are also required to manage living expenses while attending the University of Trento.
The cost may vary based on the individual charges and type of living. The cost of attending the Master of Science in Data Science at University of Trento is given below:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 4,71,150 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Application fee | INR 1,570 |
| Total approximate fees | INR 1,570 |
Calculated at the exchange rate of 1 Euro = INR 104.7 | Tuition & expenses were last updated on 23ʳᵈ December 2024Download exam sample paper
Master of Science in Data Science at University of Trento Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read less
- Applicants must have completed a first-level university degree, or another qualification obtained abroad and recognized as valid
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The bachelor's degree must contain a minimum number of ECTS in the following academic disciplines (Sectors - SSD):
- at least 6 ECTS in the sectors (computer science/ computer engineering)
- at least 6 ECTS in the sectors (social sciences/ economics/ psychology/ law)
- at least 6 ECTS in the sectors (mathematics /statistics)
- at least further 24 ECTS in the above sectors (SSD)
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- No skill lower than 18
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Out of 10
- Marks - 42/90
- NA
- Marks - 5.5/9
- With minimum 5.5 bands in each skills
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
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Tuition fees for the first year depend on the application score. If the application score:
- is greater than or equal to 90: fees exemption for the first year
- is greater than or equal to 70 but less than 90: tuition fees for the first year are € 1.000
- is greater than or equal to 60 but less than 70: tuition fees for the first year are € 2.000
- is greater than or equal to 50 but less than 60: tuition fees for the first year are € 4.500
Master of Science in Data Science at University of Trento Rankings
| Rank | Rank Publisher |
|---|---|
| #176 | |
| #251 | |
| #101 |
Master of Science in Data Science at University of Trento Placements
| Particulars | Statistics (2024) |
|---|---|
| Internship Available | Yes, Internship is available |
Master of Science in Data Science at University of Trento Highlights
- The digitisation of information from physical and social systems has considerably increased the production of data in recent years – this process goes under the name of Big Data.
- New technologies have made the interconnection, the interaction, the exchange and the collection of data easily accessible to public administrations, private companies, non-governmental organisations, and individual citizens
- This is driving a series of economic, social and political changes that require strong innovation in all areas of science and business. Data are thus no longer just information, but rather a resource with its own economic value that grows along with its usability. As social and economic systems become increasingly complex, governments call for tools that allow sensible real-time decision-making.
Master of Science in Data Science at University of Trento Scholarships
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