Master of Science in Data Science
- Public University
Talk to ExpertMaster of Science in Data Science at University of Trento Overview
International students can pursue Master of Science in Data Science at PG level at University of Trento. The duration of the course at the university is 2 years. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as IELTS, TOEFL and PTE to be eligible for the course. The University of Trento tuition fee for international students for Master of Science in Data Science is around Euro 4,500 (INR 498,285) for first-year. Students must manage additional costs such as:
- Rent
- Hostel fees
- Food, books
- supplies
- Utilities, etc.
Duration | 2 years |
Tuition & Fees | ₹4.88 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
The first-year tuition fee for the Master of Science in Data Science at the University of Trento is Euro 4,500 (INR 498,285). Moreover, the fee structure for the Master of Science in Data Science comprises the first-year tuition fees, supplement charges, facility requirements, and other additional charges offered by the University of Trento.
Apart from the tuition cost and university charges, students should also keep in mind the extra expenses to stay at the university or any nearby accommodation. They are required to manage the finances for various factors like rent, food, transportation, utility, and other personal expenses, which can vary as per the individual.
Check the detailed information on the University of Trento Master of Science in Data Science on the fee breakup, from the table below.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 4,87,879 |
| Application Fee | INR 1,626 |
Calculated at the exchange rate of 1 Euro = INR 108.417625 | 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 |
|---|---|
| #201 | |
| #251 | |
| #151 |
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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