Apa yang akan saya pelajari?

The analysis of data has a central role in the modern information society. Organizations 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 organizations - is useless unless it is analyzed. Analysis is required to find regularities such as trends or groupings, and to relate the data to other data sets within an organization or in scattered online repositories.

Analysis needs activities such as data cleansing, data integration, modeling and prediction, interactive and iterative visualization of data and models for the refinement of hypotheses and models, and the presentation of intermediate and final results to the decision-makers using visualization 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.

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 analyze the data
  • Use efficient computational and statistical methods to manage and analyze big data
  • Visualize 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.

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 organizations that gather and analyze public and private data including government, journalism, insurance, law enforcement, and finance, as well as in public and private research.

Saya termasuk departemen apa?

Faculty of Natural Sciences

Pilihan kuliah

Purna Waktu (2 tahun)

Biaya kuliah
€12.000,00 (Rp 186.688.926) per tahun
Tanggal mulai

Direncanakan Agustus 2020


University of Tampere

Kalevantie 4,



33100, Finland

Persyaratan masuk

Untuk mahasiswa dari Indonesia

If you have completed or are completing your degree in Indonesia, an official transcript of records must be submitted to University Admissions Finland by the awarding institution. The envelope must be sealed by the awarding institution’s official stamp across the back flap. The transcript of records must come to University Admissions Finland directly from the awarding institution and cannot be sent by the applicant. It is acceptable if the envelope contains other official documents awarded by the institution (e.g. degree certificate and diploma supplement). However, no other enclosures can be submitted with the transcript of records. Other English language requirements: TOEFL, Test of English as a Foreign Language: 575/paper-based; PTE (Academic), Pearson’s Test of Academic English: 62.

Untuk mahasiswa internasional

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.

Applicants who do not meet the general eligibility and programme specific admission criteria will not be selected. Even if you meet all the admission criteria, this does not guarantee your admission to the programme. The competition for a study place at the University of Tampere is high as the number of eligible applicants annually exceeds the number of students that can be accepted.

TOEFL, Test of English as a Foreign Language; 79/Internet-based with Writing score minimum 20, 550/paper-based. Scores from TOEFL ITP/institutional testing programme are not accepted. Please note that UTA recommendation is 90/Internet-based, and 575 paper-based

IELTS (Academic), International English Language Testing System; 6.0 with Writing band score minimum 5.5. Please note that UTA recommendation is 6.5 with no individual score below 5.5

PTE (Academic), Pearson’s Test of Academic English; 53. Please note that UTA recommendation is 62.

Temukan lokasi tes IELTS terdekat dan jadwal pelaksanaannya

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