24 months
Duration
12000 EUR/year
Free
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Statistical Data Analytics, Computing Sciences programme from Tampere University features several similar topic areas as the Data Science (MSc) specialisation but the Statistical Data Analytics (MSc) specialisation places more emphasis on aspects of data science and artificial intelligence where statistical understanding and modeling of data uncertainty.

Visit the official programme website for more information

Overview

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 Statistical Data Analytics, Computing Sciences programme from Tampere University 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.

Career

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.

Programme Structure

Courses include:

  • Data Science
  • Statistical Data Analytics
  • Signal Processing and Machine Learning
  • Human-Technology Interaction
  • Software, Web & Cloud

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Credits

120 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

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.

Tuition Fee

To alway see correct tuition fees
  • International

    12000 EUR/year
    Tuition Fee
    Based on the tuition of 12000 EUR per year during 24 months.
  • EU/EEA

    Free
    Tuition Fee
    Based on the tuition of 0 EUR per year during 24 months.

Living costs for Tampere

869 - 1289 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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.

Our partners

Statistical Data Analytics, Computing Sciences
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Tampere University

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