Students
Tuition Fee
Not Available
Start Date
2027-02-11
Medium of studying
Not Available
Duration
2 years
Details
Program Details
Degree
Masters
Major
Artificial Intelligence | Data Science | Software Engineering
Area of study
Information and Communication Technologies | Mathematics and Statistics
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2026-02-11-
2027-02-11-
About Program

Program Overview


Introduction to the Data Science - ICT Innovation Program

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.


Degree and Duration

  • Degree: Master of Science (Technology)
  • Duration: 2 years, full-time

Eligibility and Field of Study

  • Eligibility: Relevant Bachelor's degree
  • Field of study: Technology and Engineering

Credits and Organising School

  • Credits: 120 ECTS
  • Organising school: School of Science

Description

Data Science is a multidisciplinary discipline of extracting knowledge from all kinds of data, including structured and unstructured, often very large, and computationally demanding data. It employs theories and techniques from the traditional fields of computer science, information sciences, statistics, and mathematics.


Language of Instruction

The language of instruction in the master's programme is English.


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.


Structure of Studies

EIT Digital Master School programmes are double degree programmes in which studies are 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.


  • 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.


  • The Aalto specialisation, Machine Learning and Large Scale Computing, provides both theoretical knowledge and practical skills for handling, analyzing, and modelling various types of data, including very big data.

Internationalisation

The EIT Digital Master School programmes are inherently international because the studies take place at two different universities in two different countries.


Further Study Opportunities

The degree programme provides eligibility for scientific postgraduate studies in Finland. The skills learned in the programme create an excellent basis for doctoral studies at Aalto University, another Finnish university, or top international universities.


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 note that industry partners and further details can be found through the EIT Digital Master School.


Application Period

The application period is typically open until early February each year, with specific deadlines provided on the official EIT Digital Master School website.


Conclusion

The Data Science - ICT Innovation program at Aalto University, part of the EIT Digital Master School, offers a unique opportunity for students to gain a double degree in Data Science from two leading European universities, equipping them with the skills necessary to succeed in the highly innovative and sought-after field of data science.


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