Bioinformatics and Computational Biology

The Master of Science in Bioinformatics and Computational Biology at the University of Bern is an interdisciplinary program designed to equip students with comprehensive skills in the analysis and interpretation of biological data through computational methods. This program aims to bridge the gap between biology, computer science, and mathematics, preparing graduates for challenging careers in research, industry, and healthcare. Throughout the course of study, students gain a solid foundation in molecular biology, genomics, and proteomics, complemented by rigorous training in algorithms, programming, machine learning, and data analysis techniques. The curriculum emphasizes hands-on experience with cutting-edge bioinformatics tools, statistical software, and research projects that encourage critical thinking and problem-solving abilities.

Students will explore a wide range of topics including structural bioinformatics, systems biology, and computational genomics, enabling them to contribute to advancements in personalized medicine, drug discovery, and biotechnological innovations. The program fosters a collaborative learning environment through seminars, workshops, and cooperation with local research institutes and industry partners. Additionally, students have the opportunity to participate in internships and research projects, gaining practical insights into current challenges and solutions in the field of computational biology. The interdisciplinary nature of the program prepares graduates for diverse roles such as bioinformatics analysts, research scientists, data engineers, and bioinformatics software developers. Graduates will be well-positioned to pursue doctoral studies or to enter industries that rely heavily on data-driven biological insights. With a strong emphasis on both theoretical understanding and practical application, the Master’s program in Bioinformatics and Computational Biology at the University of Bern is dedicated to training the next generation of scientists to innovate and excel in the rapidly evolving interface of biology and computation.

First semester

Second semester

Third semester

Individual academic requirements

The following academic qualifications are required for admission to the master's degree program in Bioinformatics and Computational Biology (mono):

Deadlines will be set for fulfilling the additional attainments. If you do not fulfill the admission requirements by the deadline, you will be excluded from the master's degree program.

The degree used for assessment purposes may not be more than ten years old.

• Curriculum vitae in table form with uninterrupted chronology of your education and academic studies up to the present incl. up-to-date passport photo (45 mm high by 35 mm wide)
• Motivation letter (incl. family name, given name, full address, e-mail address, date and signature and – if you have one – mobile phone number)
• If you are holding a bachelor degree's: Originally certified photocopies of your degree (e.g. diploma and diploma supplement). The correspondence of the photocopy to the original must be officially certified.
• Originals (stamped and signed) or originally certified photocopies of all official proofs of your achievements (transcripts) with grades/scores
• Grading system of the degree issuing university, if the grading system is different from ours. Our scale goes from 1 to 6, with 6 being excellent and grades below 4 being unsatisfactory.
• Brief description of the content/learning objectives of the different courses/lectures (annotated course catalog or module handbook)
• Originally certified translations of the original documents (e.g. diploma, diploma supplement, bachelor's or master's degree, transcripts of diploma records), if these are not written in German, English, French or Italian. These translations have to be inseparably connected with the originally certified photocopies of the original documents.
• Original or certified photocopy of a GMAT with a score of at least 575 points
• Photocopy of your valid passport or identity card
• Application fee: CHF 105
• TOEFL test result: Indicate Code 3169 University of Bern, Admissions Office when taking the test or - IELTS academic test result

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

The Bioinformatics and Computational Biology program at the University of Bern offers a range of financing options for prospective students. The university provides various scholarships and financial aid opportunities to support both domestic and international students throughout their studies. These include merit-based scholarships awarded based on academic excellence, as well as need-based grants designed to accommodate students with limited financial resources. Students are encouraged to explore external funding sources such as Swiss government grants, research scholarships, and European Union mobility programs, which can supplement their financial support during their studies. Additionally, part-time employment opportunities are available both within the university and in the local community, allowing students to earn income while pursuing their degree. The university also facilitates information on student loans and financial planning advising to help students manage their educational expenses effectively. It is recommended that prospective students consult the university's official financial aid office, where they can receive personalized guidance tailored to their individual circumstances. Moreover, some programs or research projects within the university may offer stipends or paid internships, providing further financial support and practical experience. Overall, while specific scholarship amounts and eligibility criteria can vary annually, the University of Bern dedicates resources to ensure that financial constraints do not hinder talented students from pursuing their studies in bioinformatics and computational biology. Prospective students should review the university's official website for detailed and up-to-date information regarding available funding opportunities, application procedures, and deadlines to maximize their chances of securing financial aid during their studies.

The Master’s degree program in Bioinformatics and Computational Biology at the University of Bern offers students a comprehensive education that combines advanced topics in biology, computer science, and mathematics. This interdisciplinary program is designed to equip students with the skills necessary to analyze and interpret complex biological data, contributing to areas such as genomics, proteomics, systems biology, and personalized medicine. The curriculum includes core courses in bioinformatics algorithms, statistical methods for biological data analysis, molecular biology, and programming, alongside optional electives that allow students to specialize in areas like structural bioinformatics, machine learning, or systems biology. The program emphasizes practical skills through laboratory work and computational projects, enabling students to develop proficiency in data analysis, software development, and the use of cutting-edge bioinformatics tools.

Students benefit from the university’s state-of-the-art research facilities and strong collaborations with local and international research institutes, fostering an environment that promotes innovation and practical application. The program typically includes a research project or master’s thesis, during which students can work on real-world problems under the supervision of experienced faculty members. Graduates of this program are well-prepared for careers in academia, biotech companies, pharmaceutical industries, and healthcare, as well as for pursuing doctoral research.

The degree program promotes an international and diverse learning environment, offering various workshops, seminars, and guest lectures from experts across disciplines. The University of Bern’s strong emphasis on research and interdisciplinary collaboration ensures that students acquire a broad, applicable skill set. The program duration is usually two years, full-time, with opportunities for internships and co-op placements that enhance employment prospects after graduation. Overall, the Master’s in Bioinformatics and Computational Biology aims to develop scientific rigor, technical competence, and innovative thinking to meet the evolving demands of biological research and healthcare sectors worldwide.