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Agricultural and Molecular Biosciences● OpenMastersPreview

Master of Science in Agricultural Biosciences

Interdisciplinary master’s programme addressing global food security, climate resilience, and sustainable agricultural production through molecular, computational, and integrative biosciences.

Best for:Best for life sciences graduates with a strong foundation in biology, plant/animal sciences, or molecular biotechnology who seek interdisciplinary training in agricultural research, computational biology, and sustainable food systems.

Technical University of Munich · Freising, Germany
More professors at Technical University of Munich
crop and livestock genomicsplant and animal cell biologymolecular agriculturecomputational biology in agriculturesustainable food productionclimate-resilient agricultural systems
This is a masters position — not a PhD studentship.
Deadline
Register by 29 April 2027 + 1 more
Funding
Unfunded
€4k
Start date
Winter semester (typically October)
Full-time
Location
Freising
Germany

Overview

The Master of Science in Agricultural Biosciences at the Technical University of Munich (TUM) prepares students to tackle critical challenges in food production, climate change mitigation, and resource preservation. This programme uniquely integrates biological disciplines—such as physiology, genomics, and cell biology—with computational and quantitative methods to study crop and livestock species holistically. Unlike specialised programmes, it adopts a generic approach, emphasising shared biological mechanisms across plants, animals, and microbes. Students gain hands-on experience in molecular and computational techniques, conduct research internships, and complete a thesis in their final semester. The curriculum balances core modules with elective lab courses and a mobility window for international study or research abroad, fostering interdisciplinary expertise and adaptability for careers in academia, industry, or policy.

agricultural biosciencesmolecular biologygenomicscomputational methodssustainable agriculturefood securityplant and animal sciencesinterdisciplinary research

What you'll do

  • Develop a deep understanding of biological processes relevant to agricultural production through core modules in physiology, cell biology, immunology, genetics, and statistical computing.
  • Conduct independent research in the field of Agricultural Biosciences, applying molecular, experimental, or computational methods to address specific research questions.
  • Engage in interdisciplinary collaboration to link biological research findings with broader societal challenges and demands.
  • Develop competencies for navigating complex projects and managing research in dynamic environments, including international settings.
  • Participate in elective lab courses focusing on molecular or computational techniques to specialise in specific research areas.
  • Complete a Master’s thesis in the fourth semester, addressing a research question through original research and methodological implementation.
  • Gain international study experience through exchange programmes or research internships with industry partners or external research organisations.

Requirements

Degree required: Bachelor of Science degree (or equivalent) in Agricultural Sciences, Horticultural Sciences, Life Sciences Biology, Molecular Biotechnology, or a comparable programme with a focus on plant and/or animal sciences.

Degree offered: Master of Science (MSc)

Language: English; C1 proficiency (e.g., TOEFL iBT 88, IELTS Academic 6.5, PTE Academic 65, or equivalent). Exemptions apply if 30 credits were obtained in English-taught undergraduate modules or the final thesis was written in English.

Instruction: English

Required skills
  • Proven academic background in biological sciences, particularly plant or animal sciences.
  • Strong proficiency in English (C1 level) for academic study and research.
  • Basic knowledge of molecular biology techniques or willingness to learn.
  • Ability to conduct independent research and analyse complex biological data.
  • Familiarity with statistical computing and data analysis methods.
Nice to have
Experience with computational tools or programming for biological data analysis.Prior research experience in agricultural or molecular biology.International study or research experience.
Eligibility
  • Applicants must hold a Bachelor’s degree (or equivalent) in a relevant field of study.
  • No German language skills required.
  • No age restrictions or residency requirements mentioned.

Funding & terms

Type
Unfunded
Amount
€4k
Duration
4 semesters (2 years)
Programme
Technical University of Munich
Technical University of Munich

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
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How to apply

Deadline: 2025-04-29 (non-EU applicants) / 2025-05-31 (EU applicants, Iceland, Norway, Liechtenstein, Switzerland, UK) (Europe/Berlin)

Applicants must submit their application through the official portal **uni-assist** or the TUMonline system. Required documents include a completed application form, proof of degree, language proficiency certificate, CV, letter of motivation, and academic transcripts. Non-EU applicants must also provide proof of health insurance and, in some cases, proof of financial means.

Documents required
  • Completed application form
  • Proof of Bachelor’s degree (or equivalent) with transcript
  • Official English proficiency certificate (if not exempt)
  • CV (Curriculum Vitae)
  • Letter of motivation
  • Academic transcripts
  • Proof of health insurance (non-EU applicants)
  • Proof of financial means (non-EU applicants, if required)
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Contact

TUM School of Life Sciences Admissions Office· Admissions Contact

https://www.ls.tum.de/en/ls/studies/courses-and-programs/agricultural-biosciences-msc/

Lab
TUM School of Life Sciences
Technical University of Munich
Germany
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