Make big sense of big data

Data analysis plays a central role in the modern information society. Organisations in the public and private sectors are collecting vast data sets, and public-sector data are increasingly made open. However, if full use is to be made of these data, they must first be analysed.

The programme 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 also learn to present data analysis results to decision-makers with descriptive summaries and visualisations.

Successful analysts need skills related to both computational and statistical topics. As an analyst, you can be employed by analysis companies in such sectors as insurance, banking, public administration and health care, or in government agencies, organisations, and research institutes in these sectors. In addition to studies in one’s own degree programme, students may take full advantage of the courses offered by the multidisciplinary Tampere higher education community. Welcome to join us!

Study objectives

After completing the Master’s Degree Programme in Computational Big Data Analytics you will have the skills and knowledge to:

  • choose suitable data analysis methods for the analysis tasks at hand from a reasonably wide selection of methods, including methods that are necessary for integrating data from different data sources during data preprocessing and/or analysis.
  • apply these methods to analyse data.
  • use efficient computational and statistical methods to manage and analyse big data.
  • visualise the data/analysis results.

You will also have the theoretical knowledge, which allows you to:

  • apply the analysis methods in previously unknown situations.
  • understand in which situations the methods may perform well.

Study contents

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. An 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, modelling 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.

This programme educates top-level experts in computational and statistical data analysis who possess knowledge and skills for the aforementioned tasks and understand the overall processes of data analysis.

Career opportunities

As a graduate, you will have the 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.

Postgraduate study opportunities

This master's degree provides the required background if you wish to pursue doctoral studies in computer science or statistics, for example in Tampere University’s Doctoral programme in Information and Systems.

Tuition fees and scholarships

The tuition fee for the programme is 12,000 euros per academic year for non-EU/EEA students with a scholarship system for fee-paying students.

You will not be required to pay the fee if you are:

  • an EU/EEA citizen
  • equivalent to EU/EEA citizen (i.e. a citizen of Switzerland)
  • already reside in Finland (a continuous A or a permanent P/P-EU residence permit), or have an EU Blue Card issued in Finland. The exempting residence permit must be valid when you are applying for studies and at least until 1 August i.e. when the study right commences. Please note that a residence permit in another EU/EEA country does not exempt you from the tuition fee.


Tampere University Scholarships Programme is intended for students who are required to pay tuition fees in Master’s degree programmes offered in English. A substantial number of scholarships will be available. With the help of the scholarship programme, Tampere University provides excellent international students with high-quality, yet affordable, education.

When filling in your application form for a Master’s degree programme, you have the possibility to indicate your wish to apply for a scholarship. The decision on the granted scholarship will be communicated to you together with information on admission.

Program taught in:
Tampere University

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Last updated January 25, 2019
This course is Campus based
Start Date
2 years
12,000 EUR
per academic year for non-EU/EEA students.
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