Masters in Computer Engineering at Unipv, Pavia
Talk to ExpertMasters in Computer Engineering at Unipv Overview
University of Pavia is one of the finest universities in Italy. University of Pavia provides Masters in Computer Engineering at PG level. The duration of this course is 2 years. This course attracts students from all over the world. To enrol in this course, international students must fulfil all the admission requirements. The admission requirement at the University of Pavia include standardized tests like IELTS, TOEFL, PTE and Duolingo. The first year tuition fees University of Pavia for Masters in Computer Engineering is EUR 400. Moreover, the students must be ready for other expenses such as rent, hostel fees, food, books, supplies, utilities, etc.
Duration | 2 years |
Tuition & Fees | ₹43,637 Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Masters in Computer Engineering at Unipv Fees
Students interested in pursuing a Masters in Computer Engineering from University of Pavia must fulfil the associated monetary requirements that come with the course. The fee structure includes the payment of the first-year tuition fee. Students must also plan for some other costs they may incur associated with living in Italy such as rent, food, medical, travel and other expenditures. The cost may vary as per the lifestyle being pursued by the students and some other fees that may be charged by University of Pavia over the duration of studies. The first year tuition fee for Masters in Computer Engineering is around EUR 400. For a more detailed fee breakdown regarding the Masters in Computer Engineering from University of Pavia, refer the table given below:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 43,637 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Transportation | INR 32,728 |
| Application fee | INR 3,818 |
Calculated at the exchange rate of 1 Euro = INR 109.093346 | Tuition & expenses were last updated on 23ʳᵈ December 2024Download exam sample paper
Masters in Computer Engineering at Unipv Entry Requirements
- No specific cutoff mentioned
- Read less
- Applicants must have following requirements :
- A bachelor degree in Engineering
- A computer engineering, computer science and engineering background proved by your transcript
- English knowledge at B2 level
- A strong final ranking/current average
- Applicants must have following requirements :
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- N/A
- Three year bachelor degree is acceptable
- Marks - 77/120
-
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-
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Out of 10
- Marks - 59/90
- NA
- Marks - 5.5/9
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- Marks - 90/160
- NA
- Take Duolingo English Test from your home, in just 1 hour and get results in 2 days. 70% cheaper than other English Tests. Register now for Duolingo
Masters in Computer Engineering at Unipv Rankings
| Rank | Rank Publisher |
|---|---|
| #101 | |
| #401 | |
| #201 |
University of PaviaStudents Ratings & Reviews
1 Verified Review- 0% students never faced discrimination in this university
Masters in Computer Engineering at Unipv Highlights
- The program provides high-level education to graduate students with a bachelor in computer technology or scientific disciplines. The syllabus focuses on applied mathematics, economics, management, and curriculum-specific subjects.
- The Computer Science and Multimedia curriculum includes Multiprocessor Architectures, Computer Networks, Performance Evaluation, Multimedia Systems and Technologies, Computer Vision, and Human Computer Interaction.
- The Computer Science and Multimedia curriculum includes Multiprocessor Architectures, Computer Networks, Performance Evaluation, Multimedia Systems and Technologies, Computer Vision, and Human Computer Interaction.
- The Data Science curriculum includes machine learning and deep learning techniques, data modeling, and analysis (statistical learning and data analytics), Big Data in the geospatial, biomedical, and financial fields.
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Strada Nuova Street, 65, Pavia, Pavia 27100, Italy
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