University of Malta

What you'll study

The programme blends taught modules and an independent research project to provide both theoretical grounding and practical experience in bioinformatics. Core topics typically include molecular and cellular biology, genomics and transcriptomics, proteomics, statistical methods for biological data, programming for bioinformatics (Python/R), database design and management, algorithms for sequence analysis, and machine learning applied to biological problems. Practical classes and workshops cover data cleaning, pipeline development, use of common bioinformatics tools, high-throughput data analysis, and visualisation of results.

Students normally complete a substantial dissertation or research project in collaboration with an academic group or industry partner, applying computational approaches to real biological questions such as genome annotation, variant analysis, functional genomics, systems biology or biomarker discovery.

Entry requirements

• Academic background: A recognised first-degree (Bachelor honours or equivalent) in biology, biochemistry, biotechnology, computer science, mathematics, engineering or a closely related discipline. Candidates with degrees in other subjects but with demonstrable quantitative and biological experience may be considered.
• Academic standard: A degree classification equivalent to a good second-class honours or better is typically expected; individual applications are assessed on overall profile and experience.
• Prior knowledge: Familiarity with molecular biology concepts and introductory programming or statistics is advantageous. Some programmes offer bridging modules for applicants lacking specific technical skills.
• Language: Proficiency in English is required; applicants whose first language is not English will need to demonstrate competence according to the University's accepted language qualifications.
• Other: Relevant research, laboratory or industry experience, references and a statement of purpose are considered in selection. Where appropriate, interviews may be used to assess suitability.

Career prospects

Graduates enter roles that require integration of biological understanding with computational skills. Typical career paths include positions as bioinformaticians, computational biologists, genomic data analysts, biostatisticians, software developers for life-science applications, and data scientists within pharmaceutical, biotech and diagnostics companies. Opportunities also exist in clinical laboratories, public-health agencies, agricultural and environmental genomics, and academic or industrial research groups.

The degree also provides a strong foundation for further study by research (PhD) in fields such as computational genomics, systems biology, precision medicine and machine-learning applications in biology.

Why study at University of Malta

The University of Malta offers an interdisciplinary environment drawing on expertise from life sciences, medicine and information technology, enabling students to work across departmental boundaries. Small cohort sizes support close supervision during project work and access to academic staff engaged in active research.

Students benefit from hands-on training with contemporary bioinformatics tools and access to local research collaborations with hospitals, biotechnology companies and public-sector laboratories, helping to translate skills into practical experience. The programme is designed to meet the needs of a growing regional and international demand for professionals who can handle large biological datasets and contribute to data-driven research and innovation.