

Master's Programme in Data Science
- Public University
Faculty of Science
Master's Programme in Data Science at University of Helsinki Overview
The University of Helsinki is among the popular universities to study MasÂter's ProÂgramme in Data SciÂence from abroad. The duration of the program is 2 years. The first-year University of Helsinki tuition fees for MasÂter's ProÂgramme in Data SciÂence is around EUR 15,000. Students must plan to manage their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university.
Applicants must meet the University of Helsinki admission requirements to study the course. They must submit an online application by the course deadline to get into the university.
Duration | 2 years Get Curriculum |
Tuition & Fees | ₹14.34 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
- Overview
- Fees
- Curriculum
- Entry Requirements
- Rankings
- Highlights
- Scholarships
Master's Programme in Data Science at University of Helsinki Fees
The total cost of University of Helsinki MasÂter's ProÂgramme in Data SciÂence is inclusive of the first-year tuition fees and living cost. The first-year tuition fees of MasÂter's ProÂgramme in Data SciÂence is EUR 15,000. It is to be noted that the total cost to study this course may vary as per the additional expenses applied by the university and as per the students’ lifestyle.
Given below is the table that lays out the University of Helsinki MasÂter's ProÂgramme in Data SciÂence fee breakup:
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 14,33,550 |
Fees components | Amount (for 1 year) |
---|---|
Healthcare fee | INR 6,881 |
Student Union membership fee | INR 4,396 |
Master's Programme in Data Science at University of Helsinki Curriculum
Students can click on the green button below to access and download the curriculum of the University of Helsinki MasÂter's ProÂgramme in Data SciÂence. The PDF of the curriculum includes the main subjects taught by the university, the electives offered and additional course materials. The division of the MasÂter's ProÂgramme in Data SciÂence into semesters has also been included.
Download exam sample paper
Master's Programme in Data Science at University of Helsinki Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
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- Students have completed a first- or second-cycle (bachelor’s or master’s) degree or a doctoral degree in Finland or abroad
- Degree certificates must be awarded by the main university. Certificates or copies issued by colleges are not accepted
- Prior education:
- University Bachelor's degree
- University of applied sciences Bachelor's degree
- Licentiate degree
- Doctoral degree
- Foreign Bachelor's degree
- Foreign Master's degree
- University of applied sciences Master's degree
- University Master's degree
- Applicants have a first-cycle degree in computer science, statistics or mathematics, a first-cycle degree in an applied field of data science or another applicable degree.
- Applicants have completed at least 10 credits in programming, algorithms and data structures, at least 5 credits in probability and statistics and at least 10 credits in linear algebra, differential calculus, integral calculus or other studies in mathematics.

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Out of 10
- No specific cutoff mentioned
- Minimum score of 22 in the writing section
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Out of 10
- No specific cutoff mentioned
- with a minimum score of 54 in each communicative skills section (listening, reading, speaking and writing)
- No specific cutoff mentioned
- Read less
- 6.0 in the writing section
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Master's Programme in Data Science at University of Helsinki Rankings
Rank | Rank Publisher |
---|---|
#65 | |
#71 | |
#201 |
Master's Programme in Data Science at University of Helsinki Highlights
- In this Master's Programme in Data Science, students are trained to work in data-intensive areas of industry and science, with the skills and knowledge needed to construct solutions to complex data analysis problems.
- In this course students will understand the general computational and probabilistic principles underlying modern; machine learning and data mining algorithms
- In this Data Science MSc programme, students will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills
Master's Programme in Data Science at University of Helsinki Scholarships
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