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
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences
at Tampere University
The 2 years course of Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences is offered by the Tampere University. To pursue Degree Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences fees for international students is Euro 12000.0. The Tampere University Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences requirement for international students are IELTS, TOEFL, and PTE.
Duration | 2 years |
Course Level | PG Degree |
Mode of Course | Full Time |
Medium Of Instruction | English |
International Students Admission Website | Go to Website  |
Tuition & Fees | ₹10.70 Lakh View full breakup |
Type of University | Public |
Official Career Service Website | Go to Website |
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Fees
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences
at Tampere University
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 10,70,040 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Transportation | INR 44,942 |
| Student Union Fees | INR 5,796 |
| Student health care | INR 6,599 |
| Total approximate fees | INR 57,337 |
Calculated at the exchange rate of 1 Euro = INR 89.17 | Tuition & expenses were last updated on 23ʳᵈ December 2024
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Entry Requirements
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences
at Tampere University
Requirements for 12th grade
- No specific cutoff mentioned
Graduation
- No specific cutoff mentioned
- Read less
-
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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GPA
Percentage
CGPA
Out of 10
TOEFL
- Marks - 92/120
- With no section below 20
-
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Convert your CGPA to GPA
Calculate your score and check your eligibility at over 2000+ universities.
GPA
Percentage
CGPA
Out of 10
PTE
- Marks - 62/90
- With no section in Communicative Skills below 42
IELTS
- Marks - 6.5/9
- With no section below 5.5
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
Conditional Offer
- Yes
- Read lessApplicants in their final year of the bachelor’s degree due to graduate in the spring of 2023 are eligible to apply if the degree will be completed by 31 July 2023. This providing they fulfil all other requirements and deliver officially certified copies of educational documents by 21 August 2023. In such cases acceptance is conditional.
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Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Application Process
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences
at Tampere University
Step one
Prepare documents for application
CV
- Submit Curriculum Vitae (CV) / Résumé
Step two
Additional documents required
- 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
Step three
Start your online application
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Rankings
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences
at Tampere University
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Highlights
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences
at Tampere University
- 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
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences
at Tampere University
Scholarship information is not available. You can apply to non-college specific scholarships available for
Finland.
View all 28 scholarships
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Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences at Tampere University Contact Information
Master of Science (Technology) in Signal Processing and Machine Learning, Computing Sciences
at Tampere University