
Master of Science in Data Science
- Public University
Master of Science in Data Science at Tampere University Overview
Tampere University has been pioneering Master of Science in Data Science at PG level. The program has a duration of 2 years. This particular course is directed towards individuals who seek a higher level of the educational cycle. The program is considered one of the best in the country, which is responsible for the program's excellent quality and honoring.
For the course, applicants must satisfy evaluation based on eligibility criteria among which entrance scores obtained in tests such as IELTS, TOEFL and PTE are imperative for attaining admission.
The Tampere University tuition fees for the first year to pursue this course is EUR 12,000. Added should be living expenditures, rent, hostel fees, boards, books and supplies, utilities, or any other expense for the course. This complete budgeting plan ensures that the students go through their college life hassle-free.
Duration | 2 years |
Tuition & Fees | ₹12.56 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
- Overview
- Fees
- Entry Requirements
- Application Process
- Rankings
- Highlights
- Scholarships
Master of Science in Data Science at Tampere University Fees
The first-year Tampere University fees for Master of Science in Data Science is around EUR 12,000.
However, it varies as per the lifestyle of students.
For a detailed breakdown of the cost of attending the university for Master of Science in Data Science, check out the below table:
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 12,56,400 |
Fees components | Amount (for 1 year) |
---|---|
Transportation | INR 52,769 |
Student Union Fees | INR 6,805 |
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Master of Science in Data Science at Tampere University Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
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To be eligible to apply to the specialisation of Data Science in the Master's programme in Computing Sciences, Applicants must have:
- a successfully completed Bachelor’s degree or equivalent in Computer Science, Statistics or Mathematics or in another applicable field. The degree needs to include a sufficient amount of studies in computer science, and a sufficient amount of studies in statistics and mathematics.
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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 in Data Science at Tampere University Application Process
- 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 in Data Science at Tampere University Rankings
Rank | Rank Publisher |
---|---|
#251 | |
#351 |
Master of Science in Data Science at Tampere University Highlights
- Tampere University offers three related specialisations that involve analysis, modeling, prediction, and computation with big data: the Data Science (MSc) specialisation and the Statistical Data Analytics (MSc) specialisation focus on computational and statistical algorithms for data mining and machine learning, with differing emphases, and the Signal Processing and Machine Learning (MSc Tech) specialisation focuses on engineering accurate predictive machine learning models.
- The Data Science (MSc) specialisation features several similar topic areas as the Statistical Data Analytics specialisation , but the Data Science (MSc) specialisation places more emphasis on algorithmic and computational aspects of data science and artificial intelligence.
- Data Science (MSc) teaches you to understand data analysis and master necessary skills, such as data cleansing, integration, modelling and prediction, and interactive exploration of data and models. You will learn methods ranging from probabilistic approaches through efficient data mining algorithms to flexible deep learning with neural networks. You will also learn to present data analysis results to decision-makers with descriptive summaries and visualisations.
Master of Science in Data Science at Tampere University Scholarships
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