Master of Science in Data Science for Life Sciences
A cutting-edge master’s programme bridging life sciences and data science to drive healthcare innovation and industry advancements.
Best for:Best for students with a background in life sciences or IT who seek to specialize in data-driven solutions for healthcare and biotechnology.
Overview
This two-year Master of Science programme at Hanze University of Applied Sciences equips students with the skills to integrate data science into life sciences, addressing critical challenges in healthcare and biotechnology. Students learn to develop machine learning applications, process medical data, and design algorithms for tasks like disease detection. The curriculum combines computational techniques with life sciences, preparing graduates to bridge the gap between technology and biological research. Graduates will be well-positioned to contribute to advancements in medical diagnostics, personalized healthcare, and life science innovations. The programme is tailored for students with backgrounds in life sciences or IT, offering hands-on experience with data processing, algorithm development, and health data analysis.
What you'll do
- Develop machine learning applications tailored for healthcare and life sciences.
- Process and analyze large-scale health and biomedical datasets.
- Design algorithms to detect and classify sick cells or disease patterns.
- Collaborate on interdisciplinary projects bridging life sciences and technology.
- Apply data processing technologies to solve real-world healthcare challenges.
- Contribute to innovations in medical diagnostics and personalized healthcare.
Requirements
Degree required: Bachelor’s degree in Life Sciences, Computer Science, IT, or a related field
Degree offered: Master of Science (MSc)
Language: English; IELTS overall band score of 6.0 or TOEFL score of 80 (internet-based, computer-based, or paper-based)
Instruction: English
- Proficiency in programming for data analysis and machine learning
- Basic understanding of life sciences concepts and methodologies
- Familiarity with data processing and storage technologies
- No specific nationality restrictions
- No age restrictions
- No prior experience caps beyond the bachelor’s degree requirement
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
- Not confirmed by the source
How to apply
Deadline: 2027-06-01
Applicants must submit their application through the official Hanze University portal. Required documents include a CV, proof of language proficiency, academic transcripts, and a motivation letter. The application process is handled online, and all materials must be uploaded via the provided application link.
- CV
- Proof of English proficiency (IELTS/TOEFL scores)
- Academic transcripts (Bachelor’s degree)
- Motivation letter
- Passport-sized photo
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.