Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences
- Public University
Talk to ExpertMaster of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Overview
Tampere University offers courses at PG level. The course lasts for a duration of 2 years. It is among the top-ranked courses in the country. To be eligible for the course, the students must fulfil the eligibility criteria, which includes valid score in exams such as IELTS, TOEFL and PTE. The Tampere University tuition fee for Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences for the first year is EUR 12,000. Also, the students have to make budget for the other costs which includes
- Rent
- Hostel fees
- Food
- Books
- Supplies
- Utilities, etc.
Duration | 2 years |
Tuition & Fees | ₹12.28 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 (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Fees
To get admission in Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University students need to cover tuition fees and living costs. The fee structure varies based on whether the student is domestic or international. For international students the tuition fee for the first year is EUR 12,000. In addition to this students should budget for
- Other living expenses
- including
- housing
- food
- transportation
- books and personal expenses
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 12,28,440 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Transportation | INR 51,594 |
| Student Union Fees | INR 6,654 |
Calculated at the exchange rate of 1 Euro = INR 102.37 | Tuition & expenses were last updated on 23ʳᵈ December 2024Download exam sample paper
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read less
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In the specialisation of Signal Processing and Machine Learning in the Master’s Programme in Computing Sciences?the previous degree has to be in following (or highly related) field:
- computing, information technology, computer science, electrical engineering, software engineering or an applicable field of engineering with proficiency in mathematics and physics, and elementary programming skills.
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Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 92/120
- With no section below 20
-
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Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 62/90
- With no section in Communicative Skills below 42
- Marks - 6.5/9
- With no section below 5.5
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Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Application Process
- Submit Curriculum Vitae (CV) / Résumé
- An officially certified or legalised copy of the Bachelor's degree certificate in the original language
- Official translation of the Bachelor's degree certificate AND of the transcript of records unless issued in English, Finnish or Swedish
- Motivation letter
- Proof of English Language Proficiency Requirement
- Copy of passport's ID page
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Rankings
| Rank | Rank Publisher |
|---|---|
| #251 | |
| #351 |
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Highlights
- Signal processing is essentially about modeling and analyzing data representations of various phenomena of life, nature, society, economy, and culture. Modern signal processing leverages the strong predictive power of machine learning while enjoying the genetic connections with computer science and statistics.
- Experts in Signal Processing and Machine Learning are much needed as the related applications are infinite: from creating data-driven solutions for medical and biological problems; to enabling self-driving cars and autonomous robots.
- Signal Processing and Machine Learning is an engineering programme, with a particular emphasis on speech and audio; imaging and vision; media, retrieval, and mining. We study both classical and novel deep learning models as well as their software and hardware implementations.
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Scholarships
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