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Master's Programme in ICT Innovation (EIT Digital Master School) - Data Science

The Data Science Master’s offers a unique two-year academic programme, where students study data science, innovation and entrepreneurship at two different leading European universities.
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Examen:

Diplomingenjör

Ansökningsperiod:

9.2.2022 – 11.4.2022

Undervisningsspråk:

engelska

Längd:

2 år, heltidsstudier

Behörighet:

Lämplig lägre högskoleexamen

Utbildningsområde:

Det tekniska utbildningsområdet

Studiepoäng:

120 studiepoäng

Högskola:

Högskolan för teknikvetenskaper

Ansökningsperioden har slutat

The Data Science Master’s offers a unique two-year academic programme, where students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data-processing techniques and data-analysis methods. They learn how to use and develop a suite of tools and technologies that address data collection, cleaning, storage, transfer, analysis, visualization, and related concepts.

At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model. These additional entrepreneurial skills will give students their ticket to a successful career.

Structure of studies

EIT Digital Master School programmes are double degree programmes in which studies at taken at two different universities in two different countries. The programme leads into two Master of Science degrees (double degree) from the two universities the student has studied in.

Overall, the two-year programme comprises a total of 120 ECTS credits:

  • Major (60 ECTS)
  • Innovation and Entrepreneurship minor (30 ECTS)
  • Master’s thesis (30 ECTS)

Specialisations

The programme is a double degree programme, which means that you will study at two European universities and in two different countries. Aalto University offers Data Science studies as both entry (first-year) and exit (second-year) studies. For an up-to-date list of universities, please visit the EIT Digital Master School website.

Data Science Mobility Map

The first year will be similar at all eight Data Science entry point universities with foundation courses in

  • data handling,
  • data analysis,
  • advanced data analysis and data management,
  • visualization, and
  • applications.

An important part of the programme are also the Innovation and & Entrepreneurship (I&E) courses.

The second-year Aalto specialization, Machine Learning, Big Data Management, and Business Analytics, aims to provide students a versatile and diverse set of skills for managing very big data, extracting knowledge from data, learning models and making inferences, creating meaningful visualizations to interact with data, and using data-driven methods in business analytics and intelligence, as well as in other applications. These are all necessary skills to becoming a successful data scientist, one of the top professional careers world-wide. An ideal candidate to the Aalto specialization is mathematically inclined, technically proficient, has entrepreneurial spirit, and interest in solving real-life problems.

>> Learn more about the Data Science curriculum at Aalto.

Internationalisation

The EIT Digital Master School programmes are inherently international because the studies take place at two different universities in two different countries. The programme provides its students with a profound experience of working and studying in multiple countries in an international environment.

Further study opportunities

The programme qualifies for doctoral studies (Doctor of Science in an applicable field).

Career opportunities

Data science is a highly innovative area. The data scientist simultaneously masters scalable data management, data analysis, and domain-area expertise to extract key knowledge from the data and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government, and non-profit organizations.

Research focus

The studies in the programme are closely related to the research conducted at the relevant departments of the consortium universities including Aalto University's Department of Computer Science.

Co-operation with other parties

Please visit the EIT Digital Master School website to learn more about the industry partners.

Tuition fees and scholarships

Students admitted to Master's Programme in ICT Innovation (EIT Digital Master School) - Data Science are eligible for scholarships and liable for tuition fees according to EIT Digital's tuition fee and scholarship scheme. Students are not liable for paying tuition fees to Aalto University or eligible for Aalto University scholarships. Please see programme website for more information.

Admission to the EIT Digital Master School majors

The ICT Innovation programme has separate application periods and admission procedures from the other Master's programmes offered by Aalto University. Further information on the admission is available on the EIT Digital Master School website.

Contact information

EIT Digital Master School
E-mail: [email protected]

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Studera vid Aalto

The EIT Label is a quality seal awarded by the European Institute of Innovation and Technology (EIT) to a KIC educational programme that has been assessed positively by the EIT on the implementation of the EIT Quality Assurance and Learning Enhancement (EIT QALE) system, and the application of specific quality criteria with focus on the EIT Overarching Learning Outcomes (EIT OLOs), robust entrepreneurship education, highly integrated, innovative ‘learning-by-doing’ curricula, international mobility and outreach.

EIT Digital Master School logo
EIT Digital is supported by the EIT, a body of the European Union.

Ansökningsperioden har slutat

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