Master of Science in Data Science
- Public University
Talk to ExpertMaster of Science in Data Science at University of Trento Overview
One of the most famous programs at University of Trento is Master of Science in Data Science at PG course with the duration of 2 years. Indian students applying for Master of Science in Data Science program must submit all the required documents as per university guidelines. Indian students must submit proof of English proficiency exams such as IELTS, TOEFL and PTE. Indian students must apply as soon as possible, as the seats are limited. University of Trento tuition fee for first-year is EUR 4,500.
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 |
Master of Science in Data Science at University of Trento Fees
For attending the University of Trento for Master of Science in Data Science, students have to pay the tuition fee as well as the living expenses. The University of Trento Master of Science in Data Science fee structure varies for domestic and international students.
Foreign students will have to pay EUR 4,500 for the first-year of study.
Refer to the table below for the breakdown of expenses for the University of Trento Master of Science in Data Science cost of attendance:
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
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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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