Master’s in Computational Biomedicine
Train as a biomedical data scientist to develop cutting-edge computational solutions for modern healthcare.
Best for:Best for students with a strong background in computer science, biology, or bioinformatics seeking to specialize in biomedical data science and computational tools for healthcare innovation.
Overview
The Master’s in Computational Biomedicine at the University of Southern Denmark equips students with advanced computational and bioinformatics skills to analyze large-scale molecular datasets from hospitals. This programme integrates theoretical coursework with hands-on research in Systems Biology or Bioinformatics, preparing graduates to innovate in biomedical data analysis and computer-assisted medicine. Students will engage with real-world datasets, contributing to the future of precision medicine and healthcare technology. The curriculum balances compulsory modules with electives, ensuring a broad yet specialized skill set. Graduates emerge ready to shape the next generation of biomedical software and data-driven medical solutions.
What you'll do
- Develop and apply computational methods to analyze large-scale molecular datasets from biomedical sources.
- Conduct research in either Systems Biology or Bioinformatics, focusing on omics data analysis.
- Complete compulsory and elective courses to build a strong foundation in computational biology and bioinformatics.
- Work with real-world datasets to design and implement innovative biomedical software solutions.
- Collaborate with interdisciplinary teams to address challenges in healthcare data science.
- Present research findings and contribute to the advancement of computer-assisted medicine.
- Engage in hands-on laboratory and computational work to gain practical experience in data analysis.
Requirements
Degree required: Bachelor’s degree in Computer Science, Biology, Bioinformatics, or a related field
Degree offered: Master of Science (MSc)
Language: English proficiency (e.g., IELTS 6.5 or TOEFL 90, or equivalent)
Instruction: English
- Proficiency in programming languages such as Python, R, or Java
- Basic knowledge of molecular biology concepts
- Familiarity with bioinformatics tools and databases
- Ability to analyze and interpret large datasets
- Strong problem-solving and analytical skills
- No specific nationality restrictions
- Prior degree must be in a relevant scientific or computational field
- No age restrictions
- No prior experience caps beyond the bachelor’s degree
Funding & terms
Programme and admissions
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- Intake
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- Duration
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Deadline: Unknown (typically rolling or per academic intake) · open until filled
Applicants must submit an online application through the University of Southern Denmark’s portal. Required documents include a CV, transcripts, proof of English proficiency, and a statement of purpose. Some applicants may be required to provide letters of recommendation. The application process is handled via the official university application system.
- CV
- Transcripts of previous degrees
- Proof of English proficiency (e.g., IELTS, TOEFL)
- Statement of purpose or research proposal
- Letters of recommendation (if required)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.