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Data Science, Computing Sciences

Tampere University
2 years
Master's degree
Scholarships available
On campus
Tampere
English
August 2022
Application deadline: 12 January 2022
Webinars
12/14/2021
Webinars
1/11/2022
Tampere University

Program description

Data Science, Computing Sciences

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.

Tampere University offers three related study tracks that involve analysis, modeling, prediction, and computation with big data: Data Science (M.Sc.) track and Statistical Data Analytics (M.Sc.) track focus on computational and statistical algorithms for data mining and machine learning, with differing emphases, and Machine Learning (M.Sc. Tech) track focuses on engineering accurate predictive machine learning models.

Data Science (M.Sc.) track features several similar topic areas as Statistical Data Analytics track, but Data Science (M.Sc.) track places more emphasis on algorithmic and computational aspects of data science.

Data Science (M.Sc.) 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 learn methods ranging from probabilistic approaches through efficient data mining algorithms to flexible deep learning with neural networks. You will also learn to present data analysis results to decision-makers with descriptive summaries and visualisations.

Data Science (M.Sc.) track is one of the seven tracks in the Master’s degree program in Computing Sciences.

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Admission requirements

General eligibility

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

  1. Bachelor’s degree - nationally recognized first cycle degree
    • an applicable bachelor’s degree at a university or a university of applied sciences in Finland
    • a bachelor's degree completed in a university outside Finland which provides eligibility for equivalent University master’s degree studies in the country in which it was awarded.
      • with a minimum scope of 180 ECTS credits, three to four years of full-time study
      • from a relevant field for the master’s degree programme that you’re applying to
      • from a recognised institution of higher education
  2. A good command of the English language for academic purposes.

Program-specific eligibility criteria

To be eligible to apply to the Master's degree program in Computing Sciences, Data Science (M.Sc.) track, you must have a successfully completed Bachelor’s degree or equivalent in

  • Computer Science, Statistics or Mathematics or in another applicable field.

For more information about admission requirements, please visit the university website.


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Program content

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 and other preprocessing, 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 specialisation 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.

Scholarships & funding

Several scholarship options are available. Please visit the university website for more information.

Tuition fees

Tuition fee for non-EU/EEA citizens: 12000 € per academic year.

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

  • an EU/EEA citizen
  • equivalent to EU/EEA citizen (i.e. 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.

Qualification

Degree earned

Master of Science

Extent of studies

120 ECTS

Study objectives

After completing the specialisation of Data Science in the Master's Programme in Computing Sciences 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 computational and statistical methods, including methods that are necessary for integrating data from different data sources during data preprocessing and/or analysis
  • understand the algorithmic and computational aspects of the methods
  • apply these methods to analyse data and interpret results critically
  • use efficient computational and statistical methods to manage and analyse big data, including computational algorithms such as efficient parallel computing, optimization approaches, and deep neural networks and a variety of statistical modeling approaches such as classification, regression, and Bayesian analysis
  • visualise the data / analysis results
  • apply the analysis methods in new situations
  • understand how well the methods may perform in different situations.

Continuing studies

Postgraduate study opportunities

This master's degree provides the required background if you wish to pursue doctoral studies, for example in Doctoral program in Information and Systems at Tampere University.

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.

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About this institute

Tampere University

Tampere University is one of the most multidisciplinary universities in Finland. Almost all internationally recognised fields of study are represented at our university. Tampere University is a merger of the former University of Tampere and Tampere University of Technology. University...


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Contact info

Tampere University

Kalevantie 4
33100 Tampere
Finland

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www.tuni.fi

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