Quantitative Life Science | Constructor University

The program

This study program belongs to the School of Science

Location: On Campus

This research-focused program is ideal for individuals with a strong interest in life sciences and a passion for applying quantitative and computational methods to biological problems. It equips graduates with the skills and knowledge to pursue careers in research, academia, or data-driven roles within the life sciences.*

*External accreditation expected Spring 2025

Interested in the program?

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Key facts

Program Start Date 2025:

last week of August (orientation week), first week of September (classes)

Application Deadlines 2025:

July 31st

Tuition:

€ 20,000 per academic year

Duration:

2 years full-time

Scholarships:

All students are considered for an academic achievement scholarship based on their school grade point average (GPA).

Financing Options:

Each admitted candidate will receive an individual financial package.

5 Reasons to join this program

Join a research focused Master program, combining cutting-edge experimental research with the latest developments in big data, machine learning and artificial intelligence.
Meet and explore the challenges and opportunities at the interface of molecular life sciences and data science providing a qualification for the future.
Benefit from small class sizes, intense faculty-student interaction and hands-on research training in successful and productive research groups.
Contribute to innovative research with real world applications from drug development to biotechnology, from cell biology to biochemistry using the latest technologies in genomics, proteomics and metabolomics.
Study and live with students from over 120 nations and enhance your personal and intercultural skills.

Rankings

#1

International university in Europe (THE 2023)

#1

private university in Germany (THE 2023)

93%

Job success within a year (Alumni survey)

100+

Student clubs, 1 campus

Program overview

The MSc Quantitative Life Science program will integrate state-of-the-art experimental interdisciplinary research at the Life Science/Chemistry interface with cutting-edge computational methods and digital tools.

This program offers a unique blend of Biosciences, Chemistry, and Data Science for Life Sciences in the age of AI and the big data revolution. Students benefit from close contact with faculty and early exposure to real-life research through lab rotations. By engaging with established researchers and having opportunities to publish original research papers, students develope their unique research profile and standing.

The program boasts a strong faculty across diverse fields and includes soft skill courses in science communication and commercialization to prepare students for leadership roles in academia and industry.*

Benefits of studying a Master's with us

Study program structure

Schematic study plan*

Elective area*

*External accreditation to be expected in spring 2025

QLS_MSc_Handbook_2025.pdf

Quantitative Life Science (MSc) program handbook

How to apply

Join Constructor University in 5 easy steps:

Complete your application
Receive your decision after 3-4 weeks
Learn about financing options
Enroll and pay your deposit
Settle in during O-Week and start your studies

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Financing

Discover all the information you need about our fees and financing options for Constructor students. Our dedicated Student Financial Service Team will assist you in finding the best financial solution that will enable you to pursue your desired program and create a successful career path.

Cost of attendance 2025 / 2026
The direct costs of attendance include tuition, room and board, and fees, as outlined below.

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Career perspectives

The program's emphasis on research and publication, provides a strong foundation for those interested in pursuing a PhD in competitive programs in Europe and worldwide.
Graduates of the Quantitative Life Sciences program can pursue a variety of career paths at the intersection of life sciences, data analytics, and computational science.
Potential careers include roles in academia and the biotechnology, pharmaceutical and healthcare industries, where quantitative and computational methods are applied to biological research.
Graduates are also well-prepared for roles in data science and bioinformatics, as well as positions in proteomic and metabolomic research projects, data driven clinical research etc.