Study abroad in Helsinki, Finland: Most popular universities for Business Intelligence & Analytics.

Are you thinking of studying Business Intelligence & Analytics abroad? Below you can find the most popular universities and programmes to study Business Intelligence & Analytics in Helsinki, Finland. This list is based on visitors on the Studyportals websites, listing more than 150,000 English-taught Bachelor's and Master's programmes world-wide.

Helsinki
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University of Helsinki

The University of Helsinki is the oldest and largest institution of academic education in Finland, an international scientific community of 40,000 students and researchers. In international university rankings, the University of Helsinki typically ranks among the top 100. The University of Helsinki seeks solutions for global challenges and creates new ways of thinking for the best of humanity.
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Laurea University of Applied Sciences

Laurea University of Applied Sciences operates on six campuses in the Greater Helsinki region in Finland. Studying in Laurea is practically oriented and different  kinds of projects with working life affiliates are an important part of studies. Laurea offers six Bachelor's Degree programmes in English, in which two you need to know Finnish language, and two Master's programmes in English.
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Arcada University of Applied Sciences

Arcada is a multi-professional university of applied sciences (UAS) with campus located in Arabianranta, Helsinki. We offer high quality practice-oriented higher education at both bachelor’s and master’s levels as well as further education in Swedish and English in Business Administration, Sports, Media, Social- and Health Care, Culture and Technology.
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Most popular Business Intelligence & Analytics programmes for international students in Helsinki

These are the most popular programmes among international students who are looking for a Business Intelligence & Analytics degree in Helsinki.

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Big Data Analytics

Arcada University of Applied Sciences

Arcada University of Applied Sciences is proud to introduce the Master's Degree Programme in Big Data Analytics, intended for people with experience in programming and software development, who are curious about and comfortable with solving data-related problems by applying logical and mathematically inspired methods.
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Service Business Management

Laurea University of Applied Sciences

The Degree Programme in Service Business Management from Laurea University of Applied Sciences offers a broad education, focusing on the core skills needed in the workplace. In view of future employment, you can emphasise different elements of studies, depending on your interests, goals and dreams.
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Algorithms, Data Analytics and Machine Learning

University of Helsinki

In this subprogramme of MSc degree in Computer Science you are educated in computationally efficient algorithmic techniques needed in processing large volumes of data and learning from it.
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Study abroad in English

The most common way to assess your English level is by taking a standardised English test, such as:

  • PTE Academic (Pearson Test of English)
  • TOEFL iBT (Test of English as a Foreign Language)
  • IELTS Academic (International English Language Testing System)
  • C1 Advanced (formerly known as CAE – Cambridge English Advanced)
What makes PTE Academic stand out among these renowned English exams is the use of A.I. (Artificial Intelligence) to correct the answers of tests takers. This ensures that the results are unbiased and offer a 100% objective evaluation. Another great advantage of using A.I. is speed – results are typically available within 2 business days after taking PTE Academic.

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About Business Intelligence & Analytics

Business Intelligence and Business Analytics degrees prepare specialists who work with data to help companies make better business decisions. Business Intelligence students take courses on business and dashboarding technologies, where they learn how to make complex data easy to understand. Business Analytics students also work with data, but they also learn how to use analytical and software skills, like machine learning.

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