Degree programme

Computational Big Data Analytics


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 healthcare, 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!

Degree earned

Master of Science


Master's degree

Planned duration

2 years

Extent of studies

120 ECTS credits




Central Campus

Form of learning

Daytime teaching

Tuition fee for non-EU/EEA citizens

12 000 €

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

More about the language of instruction

The language of instruction is English.

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. 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.

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.

Tuition fees

The tuition fee of the programme is 12 000 euros per academic year for non-EU/EEA students with a scholarship system for fee-paying students. For more information, please see Tuition Fees and Scholarships.

Career opportunities

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.

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.

Computational Big Data Analytics

Eligibility criteria

Eligibility criteria in the Master's degree programmes consist of two parts: Tampere University's general eligibility criteria, and programme-specific eligibility criteria, which specify and/or add information to the general criteria. You must meet both to be considered eligible. Applicants who do not meet both the general eligibility and the programme-specific eligibility criteria will not be selected. 

General eligibility criteria:

To be eligible to apply to a Master’s degree programme at Tampere University, you must have

  • a completed university level Bachelor's degree or equivalent in the field of the desired Master's degree programme or in a closely related subject AND
  • a good command of English for academic purposes. For more information, please see Language requirements.

A Bachelor’s degree completed in a university outside Finland must provide eligibility to university-level master’s degree studies in the country in question.

Programme-specific eligibility criteria:
Each Master's degree programme can define more detailed eligibility criteria including, for example, more specific requirements of the applicant's previous education. These criteria will be decided and published yearly for the following application round.

To be eligible to apply to the Master’s degree programme in Computational Big Data Analytics,you must have a successfully completed Bachelor’s degree or equivalent in Computer Science, Statistics or Mathematics or in a closely related field. The degree needs to include a sufficient amount of studies in Statistics, Mathematics and Computer Science.

The number of eligible applicants annually exceeds the number of students that can be accepted. The student selection is made by an admissions committee on the basis of the academic qualifications and merits shown in the application documents. Please note that not all eligible applicants can be admitted.

Applicants who are in the final year of their Bachelor's degree

You are eligible to apply in the final year of your Bachelor’s degree if the degree will be completed and you are able to send an officially certified copy of the degree certificate and final transcript of records by post by the given deadline (around end of July, exact date to be given later). In this case, you can be admitted to a Master's programme conditionally. If you do not submit an officially certified copy of your degree certificate to Tampere University by the given deadline, your conditional admission will expire.

Language skill requirements

Language requirements

You must submit evidence on a good command of English for academic purposes. There are two ways of indicating English language proficiency: language tests and previous studies.

English language tests

The minimum English language test result requirements:

IELTS Academic


PTE Academic



iBT: 92

paper-based: 580


C1 Advanced/CAE: C
C2 Proficiency/CPE: Level C1

Previous studies

In all Tampere University Master’s programmes it is possible to be exempted from submitting a language test score if you have completed certain studies.

In the Tampere University Master’s programmes it is possible to be exempted from submitting a language test score if you completed your secondary education and/or have taken a higher education degree in English in Finland or other EU/EEA country, Switzerland, Australia, Canada, New Zealand, the United Kingdom, or the United States. You must have resided in the country while studying.

In the Master degree programme in Computational Big Data Analytics, also the following studies exempt you from submitting a language test score. Please note that you may fit into several of the categories. Please choose the one you feel is most appropriate.

  • A Bachelor’s degree completed in a Finnish university or university of applied sciences in Finnish or Swedish. The compulsory foreign language course included in the degree must be completed in the English language.
  • Applicants who have taken their pre-university education (yläaste/lukio) in the Finnish language are not required to submit an international language test score but they must submit a copy of their yläaste/lukio certificate and provide evidence of their English language proficiency in their CV (for example information on studies conducted in English or work experience with English as the working language). It is possible to take some exams and complete the Master's thesis in Finnish.

Please note that in addition to assessing your previous studies in terms of eligibility, we assess them also to determine the level of your English skills based on the grades. If you feel your grades do not give the right impression of your English skills, we strongly recommend that you take a language test to indicate your proficiency in English.

More information on language requirements.


A maximum of 20 students are admitted into the programme.

Admission procedure

Students are selected to the programme from those applicants who fulfil the official eligibility criteria. Candidates for admission should be well qualified and capable of benefiting from the study programme in question.

The student selection is made by an admissions committee on the basis of the academic qualifications and merits shown in the application documents. Please note that not all applicants fulfilling the requirements can be admitted.

Students admitted to a Master’s degree programme may be required to complement their earlier degree with complementary studies. For more information on the complementary studies, please contact the programme coordinator of the degree programme.

A number of students may be chosen among those applicants with a Bachelor's degree and a good knowledge of English who have been exchange students at the University of Tampere studying course units relevant to the Master programme.

Applicants with a Bachelor's degree from a Finnish AMK university of applied sciences should have a thesis graded no less than 3/5.

How to apply

Application step-by-step

  1. Check the admission criteria
  2. Start preparing your application documents as early as possible!
  3. If required book a time for the language test
  4. Fill in the online application at during the application period and upload required enclosures for the application
  5. Send the officially certified copies of your educational documents by post to Tampere University Admissions Office by 30 January 2019. The documents must reach the University by the given deadline.
  6. Wait for the admission results
  7. Accept the offer of admission by the given deadline
  8. Pay the tuition fee, if required
  9. Register as a student and join the Tampere University community!

Application process in detail

Select the Master's degree programme you wish to apply to. Carefully read through the general eligibility criteria and programme-specific eligibility criteria and see whether you meet them. Applicants who do not meet the general and programme-specific eligiblity criteria will not be selected.

Check which application documents you are required to submit and make sure to obtain them in time. Remember to check if there are any country-specific requirements for your documents. Please note that some documents may be required to be sent separately by a third party. Make sure also these documents are delivered in time.

When applying to the Master’s programmes you usually must demonstrate your proficiency in English with an internationally recognised academic language test report. We advise all 2019 applicants needing an international language test score to book for a test date well in advance, as test dates are filling up fast in the autumn and it may take several weeks for the test result to reach Tampere University.

Application documents

Online application form

The online application form will be available during the application period only at The application period starts 4 December 2018 at 8 am (GMT+2) and ends 23 January 2019 at 3 pm (GMT+2).


Required enclosures

Some application enclosures are the same in all Tampere University Master’s programmes while some are programme-specific. There are seven Tampere University general application enclosures.

You will need to upload all application documents online at In addition to uploading the application documents on the application, you must submit the officially certified copies of your educational documents to Tampere University Admissions Office by post. You must send the educational documents by post to Tampere University Admissions Office so that they arrive by 30 January 2019.

You can find the list of the required enclosures and further instructions on the Application documents webpage.

In addition to the seven Tampere University general application enclosures, for the Master's degree programme in Computational Big Data Analytics you also need to submit:

8. Regular photocopy of yläaste or lukio education degree certificate (only from those applicants who wish to indicate their English language proficiency using their yläaste/lukio studies). There is no need to send the certificate by post.

Country-specific requirements for application documents

Applicants whose degrees have been awarded in certain countries need to pay special attention to the documentation before submitting it. In addition to the standard document requirements, educational documents from certain countries must be submitted in a particular way. Note that the degree awarding country may be a different one from the country where the studies are taken. These country-specific requirements must always be followed first and foremost, prior to any regular requirements for attesting documents.

More information on the country-specific requirements for educational documents.

Admission results and appeals

Admissions results will be announced by early April 2019. All applicants will be informed about the admissions results.

Please see Tampere University's general instructions concerning rectification procedure.