University of Primorska

What you'll study

Teaching covers collection, management and analysis of both structured and unstructured data (including text, images, audio and video). Key areas include statistical and algorithmic methods, use of modern programming tools, development of efficient solutions and training for independent data analysis. The curriculum stresses analytical thinking, reasoning, teamwork and ethical handling of data while preparing students to apply methods to real-world problems.

Entry requirements

The programme page lists admission requirements, advancement criteria and practical training arrangements; specific numeric or prior-degree requirements are not provided on the source page. Instruction is available in both Slovene and English.

Career prospects

Graduates obtain the degree "magister podatkovnih znanosti" (equivalent to Master’s degree in Data Science) and are prepared for roles in industry, research and public policy. The programme explicitly prepares students for data-science careers domestically and internationally, emphasising transferable skills such as teamwork, critical thinking and practical tool use.

Scholarships & funding angle (general)

The public programme information mentions international cooperation and practical ties with external institutions; specific scholarships or funding details are not listed on the provided page. Prospective applicants should contact the faculty’s admissions or international office for up-to-date funding and scholarship options.