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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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Degree:

Master of Science (Technology)

Application period:

15.11.2018 - 1.2.2019

Language of instruction:

English

Duration:

2 years, full-time

Eligibility:

Relevant Bachelor's degree

Field of study:

Technology and Engineering

Credits:

120 ECTS

Organising school:

School of Science

Study objectives

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.

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.

Language of instruction

The language of instruction of the programme is English.

Tuition fees

See the programme website for information on tuition fees and scholarships.

Study contents

The programme is a double degree programme, which means that you will study at two European universities and in two different countries. The programme has an integrated technical content (Technical major) and business content (Innovation & Entrepreneurship – I&E minor). The I&E minor is shared between all programmes. An integral part of the second year is a Master’s thesis (30 ECTS).

The double-degree programme is implemented jointly by leading European universities. The students can select their favorite first (entry) and second (exit) year universities. Each university has a unique specialisation area, which allows students to select their own second year area of expertise.

Structure of the studies

Please note that both ENTRY and EXIT universities might be subject to changes. Kindly check before applying.

The first year will be similar at all five DSc entry point universities: Aalto University, Universidad Politecnica de Madrid (UPM), Eindhoven University of Technology (TU/e), Universite Nice Sophia Antipolis (UNS) and Polytechnic University of Milan (Polimi) 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.

During the second year of studies, the student chooses a spesialisation option offered in one of the six exit point universities: Aalto University, UPM, TU/e, UNS, KTH, or TU Berlin. The specialisation option offered at Aalto University is Machine Learning, Big Data Management, and Business Analytics.

  • The Aalto specialization 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.

Specialisation courses include but are not limited to the following courses:

  • Introduction to Analytics and Data Science (2 ECTS)
  • Capstone: DigitalSM Challenge (6 ECTS)
  • Machine Learning: Basic Principles (5 ECTS)
  • Bayesian Data Analysis (5 ECTS)
  • Digital Marketing (5 ECTS)

See the Data Science curriculum at Aalto University on the student portal Into.

Admission to the EIT Digital Master School majors

The ICT Innovation programme has separate application periods and admission procedures from the rest of the Master's programmes offered by Aalto University. Further information on the admission is available on the EIT Digital Master School website for prospective students (masterschool.eitdigital.eu).

Contact information

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

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Finland’s excellent reputation in education, combined with a wide range of courses offered in English, makes Finland an attractive study destination for international students. Boasting the largest technology hub of the Nordic countries, Finland is a world leader in information technology, business, design and many other academically centred fields.

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.

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Application period open now

Application period will close on 1.2.2019