A highly-selective program track for students with a strong background in mathematics, computer science, and/or applied statistics. The track features a demanding curriculum that focuses on equipping the students with the theoretical foundations and practical skills that they need to become leading data science professionals, researchers, or teachers of data science. For more information visit datascience.fri.uni-lj.si/masters.ce.fri.uni-lj.si/masters.

2 years
4 semesters
120
ECTS credits
  • Obtained title
  • Magistrica inženirka računalništva in podatkovnih ved
  • Magister inženir računalništva in podatkovnih ved
  • Admission requirements and selection criteria in case of limited enrollment

In the case of limited enrollment, candidates are selected based on their undergraduate GPA and an entrance exam.

 

The entrance exam will include mathematics (40% of the grade), programming (40%), algorithms (10%), and computer systems (10%). Prerequisite knowledge and recommended readings can be found on the DataScience@UL-FRI website.


For more information about the admissions process, date of the entrance exam and other details visit the Computer and Information science Master’s page.

  • CURRICULUM

You can read more about the curriculum on the DataScience@UL-FRI website. The curriculum is also published in the UL-FRI program presentation and the courses are described in detail in the course syllabuses at the bottom of this page.

  • HOW TO APPLY IF YOU ARE AN INTERNATIONAL STUDENT

International students’ application procedure – basic steps

  1. Apply via eVŠ portal and send the application to University of Ljubljana.

  2. Submit documents via post together with the application.

  3. You will be informed about the selection process in September.

For detailed information about the logistics of the application procedure and enrollment visit the Computer and Information

science Master’s page (the process is the same).

Pre-enrollment and Scholarly Projects

 

International students might be particularly interested in the Pre-enrollment process which starts early in the year and is aimed at identifying outstanding applicants and guiding them through the enrollment process.

 

A limited number of students will also be offered the opportunity to participate in a Scholarly Project - a 2-year project where the student gains experience by working on a real-world industry or research problem as part of their Master’s coursework. Such students will be provided with financial support, including tuition.


For more information and important dates visit datascience.fri.uni-lj.si/masters.