Experts on analyzing data are needed for solving challenging data driven problems such as understanding of text documents, conversation and social media; creating intelligent search engines; finding data-driven insights into phenomena of society, economy and culture; creating data-driven solutions for medical and biological problems; and enabling self-driving cars and autonomous robots.
The Computing Sciences - Statistical Data Analytics program from Tampere University features several similar topic areas as the Data Science (M.Sc.) track but Statistical Data Analytics (M.Sc.) track places more emphasis on aspects of data science where statistical understanding and modeling of data variation and uncertainty is a crucial advantage.
As a graduate you will have knowledge and skills for data analytics and understand the overall data analytics process. Such analysts can be employed in analysis firms, as in-house analysts in companies producing big data, and in companies and organisations that gather and analyse public and private data, including government agencies, journalism, insurance, law enforcement, and finance, as well as in public and private research.
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- The analysis of data has a central role in the modern information society. Organisations in both the public and private sector are collecting vast data sets, and an increasing amount of public sector data is made open.
- However, data - assumed to be an important asset for organisations - is useless unless it is analysed. Analysis is required to find regularities, such as trends or groupings, and to relate the data to other data sets within an organisation or in scattered online repositories.
- Analysis needs activities such as data cleansing, data integration, modeling and prediction, interactive and iterative visualisation of data, and models for the refinement of hypotheses and models.
- The presentation of intermediate and final results to decision-makers requires mastery of visualisation and reporting methods. Successful analysts need skills in both computational and statistical topics.
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- 24 months
Start dates & application deadlines
- Apply before
DisciplinesBusiness Intelligence & Analytics Computer Sciences Data Science & Big Data View 48 other Masters in Computer Sciences in Finland
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We are not aware of any academic requirements for this programme.
Bachelor’s degree - nationally recognized first cycle degree
- which corresponds to at least 180 ECTS (European credits) or to three years of full-time study
- from a relevant field for the Master’s degree programme that you’re applying to
- from an recognised institution of higher education
- The Bachelor’s degree completed in a university outside Finland must provide eligibility for university-level master’s degree studies in the country in which it was awarded.
AND a good command of the English language for academic purposes.
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International12000 EUR/yearTuition FeeBased on the tuition of 12000 EUR per year during 24 months.
EU/EEAFreeTuition FeeBased on the tuition of 0 EUR per year during 24 months.
Living costs for Tampere
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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Apply and win up to €10000 to cover your tuition fees.