Master in Data Science

The University of Malta, based in Msida, is the island nation’s oldest and largest higher education institution, serving over 13,000 students including around 2,000 internationals. It provides a broad portfolio of undergraduate, graduate and doctoral programs across humanities, social sciences, natural sciences, engineering and medicine. As a public university with strong regional ties, it combines traditional scholarship with modern curricular development and European academic networks.

Academically, the university emphasizes multidisciplinary teaching and research. Students can access well-resourced libraries, laboratories and teaching facilities while engaging with faculty involved in EU-funded and regional projects. Programs follow Bologna-aligned structures, enabling credit mobility and clear progression from foundational study to advanced research. International partnerships and study-abroad options enhance language learning, comparative study and employability in a range of public and private sectors.

Student life in Malta offers a compact, multicultural setting with accessible campuses and a supportive student services network. International students receive orientation, academic advising and assistance with housing and administrative matters. Career services connect graduates with internships and employers across the Mediterranean region and beyond. The University of Malta is a practical choice for students who want a broad, research-active institution in a multilingual, historically rich environment that supports international mobility and professional development.

The Master in Data Science is a one-year program for individuals with degrees in science and non-science fields, offered by the University of Malta. This Master's degree equips students with essential skills in data analysis, visualization, and transformation, helping them enhance their career prospects.

Students engage with core courses like Research Methodology, Principles of Data Science, and Machine Learning for Data Science, as well as elective courses and hands-on projects that develop their ability to extract insights from large datasets.

Graduates can pursue roles such as Data Scientist, Data Analyst, and Machine Learning Engineer in sectors like finance, healthcare, and technology, where they can contribute to data-driven decision-making processes with their transferable skills.