
Master of Science in Statistical Data Analytics, Computing Sciences
- Public University
Master of Science in Statistical Data Analytics, Computing Sciences at Tampere University Overview
International students can pursue Master of Science in Statistical Data Analytics, Computing Sciences at PG level at Tampere University. The duration of the course at the university is 2 years. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as IELTS, TOEFL and PTE to be eligible for the course. The Tampere University tuition fee for international students for Master of Science in Statistical Data Analytics, Computing Sciences is around EUR 12,000 for first-year. Students must manage additional costs such as
- 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 in Statistical Data Analytics, Computing Sciences at Tampere University Fees
When planning for the Master of Science in Statistical Data Analytics, Computing Sciences, applicants should consider the financial aspects involved. Every student must pay the first-year tuition fee of EUR 12,000. Additionally it is also important to account for living expenses such as accommodation, food, and utility costs. Such expenses may vary according to living styles and other fees added by the Tampere University. To know about the complete breakdown of the Tampere University Master of Science in Statistical Data Analytics, Computing Sciences fee structure and all other cost-element-wise expenditures for an elaborate cost overview, please check the table below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 12,28,440 |
| Fees components | Amount (for 1 year) |
|---|---|
| Transportation | INR 51,594 |
| Student Union Fees | INR 6,654 |
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Master of Science in Statistical Data Analytics, Computing Sciences 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 Statistical Data Analytics in the Master's programme in Computing Sciences, Students must have:
- a successfully completed Bachelor’s degree or equivalent in Statistics, Computer Science, or Mathematics or in another applicable field. The degree needs to include a sufficient amount of studies in statistics, and a sufficient amount of studies in computer science and mathematics.
-

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Out of 10
- Marks - 92/120
- With no section below 20
-
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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 Statistical Data Analytics, Computing Sciences 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 Statistical Data Analytics, Computing Sciences at Tampere University Rankings
| Rank | Rank Publisher |
|---|---|
| #251 | |
| #351 |
Master of Science in Statistical Data Analytics, Computing Sciences at Tampere University Highlights
- The?Statistical Data Analytics?(MSc) specialisation features several similar topic areas as the Data Science (MSc) specialisation but the Statistical Data Analytics (MSc) specialisation places more emphasis on aspects of data science and artificial intelligence where statistical understanding and modeling of data uncertainty, variation and dependency is a crucial advantage.
- Statistical Data Analytics (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 Statistical Data Analytics, Computing Sciences at Tampere University Scholarships
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