EIT Digital Master School Program – Data Science
EIT Digital Master School Program – Data Science
Master in Computer Science
Double/Multiple degree program
4 semesters (2 years)
Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.
The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.
Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).
The EIT Digital Master School is a flagship education on advanced level provided by leading European universities and IT companies. It offers a two-year education in which you can choose two universities in two different European countries with a double degree at the end. This means that two leading universities’ technical competence and skills are together in this program, join forces to offer a competitive education.
Next to the strong technical background, provides Innovation and Entrepreneurship education in 25% of the program, which means that students gain knowledge about how industry works and how research results can be turned into service or product, even before they graduate. The program also includes a 4-month internship to be done at one of the EIT Digital partner companies, where students can experience world changing innovations from first hand.
As a key factor for success, EIT Digital also provides great networking opportunities with its kick-off, summer school and graduation events to those, who are interested in establishing their own business.
The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review. The data scientist masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems.
Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!
Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations.
- Data Science consultant
- Data Analyst
- Data Science Specialist
09, Sep, 2019
01, Feb, 2019
Minimum level of language proficiency (oral) (A1-C2): B2
Minimum level of language proficiency (written) (A1-C2): B2
As one of the 2 years is spent at ELTE, but the other one is to be spent at a partner university, the language requirements for that other year depend on those of the partner universities, too.
Transcript of records
Letter of recommendation
Copy of the main pages of the passport
- Letter of Reference
Also called "Letter of recommendation." From a former instructor and/or employer.
- Letter of Authorization
If the applicant uses the services of a non-contracted third party during the application process, a Letter of Authorization must be signed. Applications will not be processed without.
Previous studies: A completed Bachelor's degree
Applicants must have completed a Bachelor’s degree encompassing a minimum of 180 ECTS credits or equivalent academic qualifications from an internationally recognized university.
Students in their final year of undergraduate education may also apply and if qualified, receive a conditional acceptance. Applicants following longer technical programmes and who have completed courses equivalent to an amount of 180 ECTS, will be considered on a case-by-case basis.
Deadlines for application
- Deadline for application for non-EU students: 1 February 2019
- Deadline for application for EU students: 15 April 2019
The application is to be done online through: https://masterschool.eitdigital.eu/application/. Students need to register in the system, fill in the online application form, upload the required documents and follow the instructions during the application process. The applicants are evalueated and ranked based ont he submitted application documentation. The ranking is based on a total evaluation of the academic excellence (based on the submitted documents, including CV and motivation letter).
DR Tomas HORVÁTH
Head of Department, Data Science and Engineering