Quantitative Life Science
Constructor University Campus, Germany
Master of Science in Quantitative Life Science
Constructor University
Life Sciences & Data Science
Program Overview: MSc Quantitative Life Science
The MSc in Quantitative Life Science (QuaLiS) at Constructor University is a research-focused program that integrates biosciences, chemistry, and data science at the intersection of molecular life sciences and computational methods. This interdisciplinary program is designed for individuals passionate about applying quantitative and computational approaches to biological problems in the age of AI and big data.
Students benefit from close contact with faculty, small class sizes, and early exposure to real-life research through lab rotations in successful and productive research groups. By engaging with established researchers and having opportunities to publish original research papers, you develop your unique research profile and academic standing.
The program is part of the School of Science at Constructor University, a private English-speaking research university located in Bremen, Germany. With students from over 120 nations on a 34-hectare residential campus, you gain an education that transcends disciplinary and cultural boundaries while preparing for leadership roles in academia and industry.
Key Program Highlights
- Unique blend of Biosciences, Chemistry, and Data Science with cutting-edge AI and machine learning integration
- Hands-on research training with lab rotations and opportunities to publish original research papers
- Soft skill courses in science communication and commercialization for leadership preparation
- International residential campus with students from over 120 countries and personalized faculty mentoring
Curriculum & Modules
The MSc in Quantitative Life Science spans four semesters with 120 ECTS credit points. The first three semesters combine core modules, electives, transferable skills courses, and a strong research component, while the fourth semester is dedicated entirely to the Master Thesis. Modules are grouped into five categories: mandatory Core modules (30 CP), Research area (30 CP), Elective area (15 CP), Transferable Skills, and the Master Thesis.
Foundations of Life Sciences
5 ECTSA foundational module introducing key concepts in life sciences for students from diverse educational backgrounds, covering essential biological principles and molecular processes.
Computational Skills for Life Sciences
5 ECTSDevelops solid computational and programming skills needed to analyze biological data, including an introduction to coding, data handling, and statistical methods relevant to quantitative research.
Omics Technologies and Data Analysis
5 ECTSCovers state-of-the-art technologies in genomics, proteomics, and metabolomics, teaching students to generate, process, and interpret large-scale biological datasets.
Machine Learning for Life Sciences
5 ECTSExplores machine learning algorithms and artificial intelligence approaches applied to biological research, including pattern recognition, predictive modeling, and deep learning for biological data.
Research Lab Rotation
10 ECTSProvides hands-on research experience through rotations in established research groups, allowing students to apply quantitative methods to real-world biological problems and develop independent research skills.
Master Thesis
30 ECTSAn independent research project conducted in the fourth semester where students apply the full range of skills acquired throughout the program to address an original scientific question.
Elective Modules
Admission Requirements
Constructor University uses a rolling admissions process, reviewing applications continuously as they are received. To be considered for the MSc in Quantitative Life Science, applicants must meet the academic, language, and documentation requirements outlined below. Contact Uni4Edu for personalized guidance through the application process.
Academic Requirements
- Bachelor's DegreeA good bachelor's degree in Life Sciences, Biology, Chemistry, Biochemistry, or a related field is required.
- Academic PerformanceStrong academic record with demonstrated interest in quantitative and computational methods applied to biological problems.
- Analytical SkillsElevated analytical, problem-solving, and verbal communication skills are expected.
- Motivation LetterA one-page statement explaining your choice of program, reasons for admission, and exceptional qualities.
- Extracurricular ActivitiesSocial commitment, university service, clubs, and voluntary activities during undergraduate studies are considered favorably.
English Language Requirements
- TOEFL iBTMinimum score of 90
- IELTSMinimum overall band score of 6.5
- Duolingo English TestMinimum score of 110
Required Documents
Application Deadlines (Fall 2026 Intake)
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships & Funding
Constructor University is committed to supporting high-achieving students through a range of scholarships and financial packages. All admitted students are automatically considered for merit-based scholarships, and each candidate receives an individual financial package. Contact Uni4Edu for detailed information on funding opportunities available to you.
Academic Achievement Scholarship
Up to EUR 7,000 per academic yearAll students are automatically considered for this merit-based scholarship based on their undergraduate grade point average (GPA). No separate application is required, and students are informed about their scholarship amount immediately following admission.
Constructor Excellence Scholarship
EUR 10,000 per academic yearA partial tuition coverage scholarship awarded to outstanding candidates who demonstrate exceptional academic performance and strong potential for research contributions in quantitative life sciences.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the MSc Quantitative Life Science program are well-prepared for careers at the intersection of life sciences, data analytics, and computational science. The program's emphasis on research and publication provides a strong foundation for those interested in pursuing a PhD in competitive programs across Europe and worldwide, while also opening doors to industry roles in rapidly growing sectors.
Potential Career Roles
Potential Employers & Sectors
Rankings & Recognition
Constructor University, formerly known as Jacobs University Bremen, is recognized in major global university rankings and has earned a strong reputation for its international outlook, industry connections, and research environment. The university consistently performs well in rankings that evaluate young and internationally focused institutions.
| Subject | Ranking Body | Rank |
|---|---|---|
| Physical Sciences | THE Subject Rankings | #601-800 |
| Social Sciences | THE Subject Rankings | #251-300 |
| Engineering | THE Subject Rankings | #401-500 |
| International Outlook | THE Young University Rankings | #20 Worldwide (Score: 93.5/100) |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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