Study Programme "Master 4.0 Bioinformatics"

Entrance requirements

The Master’s Academic Programme in Bioinformatics is open to candidates who have previously completed either:

• an undergraduate academic programme comprising at least 240 ECTS credits, or
• an integrated academic programme comprising 360 ECTS credits.

Students enrol in the programme through the Faculty of Medicine, University of Belgrade.

Study programme goals

The aim of this one-year study programme, entitled Master 4.0 Bioinformatics, is to educate highly qualified professionals capable of addressing complex challenges in the life sciences, healthcare, and biotechnology sectors.

The programme is designed for students from diverse academic backgrounds, including medical sciences, biochemistry, biology, computer science, mathematics, and engineering. It combines rigorous interdisciplinary training with practical experience in industry.

Flexible modules and elective courses enable each student to build on the strengths of their previous academic background while acquiring the core competencies required in bioinformatics.

Study outcome

Upon completing the study program źaster 4.0 Bioinformatics, the candidate is awarded the title "Master of Bioinformatics".

By completing the programme, students will acquire general competencies in the analysis, synthesis, and prediction of solutions and their implications in the field of bioinformatics. They will master relevant research methods, procedures, and processes and develop critical thinking skills, as well as the ability to apply acquired knowledge in practice.

The programme also focuses on the development of communication skills and collaboration within both local and international environments, including through the participation of visiting professors from abroad.

In addition to gaining in-depth knowledge and understanding of the disciplines covered by their selected courses, students will become familiar with bioethics, project management, communication skills, and entrepreneurship. They will be equipped to continuously follow and apply new developments in their profession and to integrate fundamental knowledge from different disciplines and apply it to complex problems.

By acquiring these competencies, graduates of the Master 4.0 Bioinformatics programme will broaden the range of professional fields in which they can seek employment and will be able to adapt more effectively and rapidly to contemporary working environments.

Upon completion of the programme, graduates will be able to perform the following activities and professional tasks in the field of bioinformatics:

• apply knowledge and methods from computer science, biomedicine, biochemistry, and statistics to the analysis and interpretation of bioinformatics data;
• identify user and system requirements for research projects and perform their analysis and conceptual modelling;
• analyse problems and identify the computational resources required to address them;
• design, implement, and evaluate software solutions, including algorithms, tools, systems, and workflows;
• use modern techniques, skills, and tools required for bioinformatics analyses;
• use bioinformatics databases and sequencing-generated data;
• visualise and present data and research results;
• provide consultancy and technical support;
• undertake professional activities in higher education institutions; and
• provide user training through courses and specialised schools.

Access to further studies

Graduates holding this degree are eligible to enrol in doctoral academic studies comprising 180 ECTS credits, subject to the admission requirements of the respective doctoral programme.

Professional qualifications

Graduates who successfully complete the Master 4.0 Bioinformatics study programme are qualified to perform the following activities and professional tasks in the field of bioinformatics:

• apply knowledge and methods from computer science, biomedicine, biochemistry, and statistics to the analysis and interpretation of bioinformatics data;
• identify user and system requirements for research projects and perform their analysis and conceptual modelling;
• analyse problems and identify the computational resources required to address them;
• design, implement, and evaluate software solutions, including algorithms, tools, systems, and workflows;
• use modern techniques, skills, and tools required for bioinformatics analyses;
• use bioinformatics databases and sequencing-generated data;
• visualise and present data and research results;
• provide consultancy and technical support;
• undertake professional activities in higher education institutions; and
• provide user training through courses and specialised schools.