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The Bioinformatics program offers an interdisciplinary education in computational biology, genomics, proteomics, and data analysis applied to life sciences. Students explore DNA/RNA dynamics, molecular phylogenetics, and big data infrastructures, with tailored tracks in programming or machine learning. The second year includes advanced lab work, systems biology, and electives drawn from genomics, computational biology, molecular biology, and pharmaceutical biotechnology. A significant portion of the program is dedicated to a research-based final project or internship, preparing graduates for careers in biomedical research, biotech, or data-driven healthcare innovation.

To be admitted to the Bioinformatics program, applicants must hold a three-year degree or equivalent qualification in areas such as biotechnology, biology, computer science, statistics, engineering, mathematics, physics, chemistry, environmental sciences, or related fields. Degrees from both current and previous Italian systems, as well as eligible foreign qualifications, are accepted. Candidates must also demonstrate a minimum B2 level of English proficiency, verified through certified tests, prior academic coursework, or by holding a degree taught in English. Conditional admission is allowed, but the degree must be completed by the end of the calendar year. EU students typically pay around €1,200/year based on family income. Non-EU students usually pay a fixed fee of about €1,400/year. Check with the university for your exact fee.

This bachelor’s program offers a strong interdisciplinary foundation in business, data analytics, and information systems. Core subjects include mathematics, statistics, programming, accounting, and economics, along with database systems, project management, and marketing. Students apply their skills through project-based courses in machine learning, time series, and business decision-making. The curriculum also includes elective modules grouped into areas such as Business Administration and Mathematics & Statistics, allowing for focused learning paths. The program culminates in a thesis and internship, emphasizing both academic and practical experience. While no formal specializations are listed, students can customize their learning through elective tracks.

To apply for this program, applicants must have completed secondary education and demonstrate English proficiency at a B2 level. Accepted certificates include IELTS (minimum 6.0), TOEFL iBT (72), Duolingo (100), and others. Exemptions apply for native speakers and those holding specific English-language qualifications such as IB, A-levels, or GCSEs. A mathematics entrance exam is required unless the applicant holds an accepted alternative (e.g., SAT 680+, ACT 27+, IB SL 5+). If the entry criteria are not fully met, a preparatory program is available. Admission decisions are based on overall entrance exam performance and program capacity.

This master’s program combines courses in data analysis, informatics, statistics, and social science to prepare students for analyzing complex societal phenomena. Core subjects include machine learning, data ethics, critical inquiry, and computational statistics. Students also explore topics like economic complexity, applied network science, and causal inference. The curriculum includes elective modules such as survey analytics, geography in data science, and big data applications. A two-part thesis consultation supports students in preparing their final research projects. This program is ideal for students seeking to bridge data science with the social scienc

Applicants must complete a two-part admission process: a written exam (Type A) worth 60 points, assessing language proficiency, quantitative analytical skills, and logical reasoning; and an oral interview worth 30 points, focusing on the applicant’s motivation and aptitude for the program.

This master's program provides advanced training in Mathematics, offering two distinct tracks: the Research Option and the Professional Option. The Research Option prepares students for doctoral studies or academic careers through in-depth coursework in pure mathematics, logic, topology, number theory, and advanced algebra. The Professional Option focuses on applying mathematical methods to real-world problems, including courses in financial mathematics, numerical analysis, statistics, and optimization. Students take core and elective courses, choose a minor from areas like statistics or applied mathematics, and complete a master’s thesis. The curriculum includes topics such as algebraic geometry, quantum theory, cryptography, differential equations, and mathematical modeling.

This master's program welcomes applicants holding degrees in Mathematics or related disciplines obtained outside the Flemish Community, with each case evaluated individually. Students must demonstrate English proficiency through TOEFL, IELTS, or Cambridge exams unless they earned a prior degree entirely taught in English in Australia, English-speaking Canada, Ireland, New Zealand, the United Kingdom, or the United States, or possess a Belgian diploma. Applicants must also provide detailed course descriptions and grading information unless exempt through institutional partnerships or degrees from top 200 universities. The final admission decision is made by the Admissions Board based on the provided academic and language credentials.