Master of Science in Data Science
- Public University
Talk to ExpertMaster of Science in Data Science at Tampere University Overview
Tampere University is among the popular universities to study Master of Science in Data Science from abroad. The duration of Master of Science in Data Science program is 2 years. The first-year Tampere University tuition fee for Master of Science in Data Science is around Euro 12,000 (INR 1,328,760). Indian students are required to plan their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. Indian students must meet the Tampere University admission requirements to study the course. Indian students must submit an online application by the course deadline to get into the university.
Duration | 2 years |
Tuition & Fees | ₹12.82 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 Tampere University Fees
The fee breakup of the Tampere University Master of Science in Data Science includes the first-year tuition fee and cost of living. The cost of living will include expenses like rent for accommodation, meals, and other utilities. The first-year tuition fees Master of Science in Data Science is Euro 12,000 (INR 1,328,760). Students must note that the total expenses are subject to vary, depending on the additional charges set by the Tampere University. Students can check the table given below to know more about Tampere University Master of Science in Data Science fee breakup.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 12,82,222 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Transportation | INR 53,853 |
| Student Union Fees | INR 6,945 |
Calculated at the exchange rate of 1 Euro = INR 106.85183 | Tuition & expenses were last updated on 20ᵗʰ August 2026Download exam sample paper
Master of Science in Data Science at Tampere University Entry Requirements
- No specific cutoff mentioned
- 55%
- Student must have ug degree or equivalent in Computer Science, Statistics, Mathematics or another field.
Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 92/120
- With no section below 20
-
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- 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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- 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.
Master of Science in Data Science 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 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.
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