Agricultural Biosciences
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This international program Agricultural Biosciences focuses on basic biological research for an efficient and sustainable agricultural production of crop and livestock species. It integrates quantitative and computational approaches in a unique, interdisciplinary agricultural study program.Agricultural biosciences offer solutions to major societal challenges. They can make significant contributions to securing food supplies, preserving natural resources, and mitigating the effects of climate change.The M.Sc. Agricultural Biosciences is shaped by the vision of the TUM School of Life Sciences offering a basic, mechanistic understanding of biological processes underlying agricultural crop and livestock production combined with expertise in handling data rich challenges and quantitative data analysis.In contrast to other master´s programs that have a specialized view on basic research and distinguish between plant and animal science, we at TUM believe that a generic approach is more timely as many biological mechanisms are shared between plants and animals. A strong focus on molecular as well as computational methods reflects the TUM strategy to value innovation as the basis for knowledge.The M.Sc. Agricultural Biosciences deals with different organisms, namely plants, animals and microbes. The program takes advantage of the synergistic effects created by integrated studies on plant and animal species teaching generic as well as specific biological concepts, methods and tools. It reflects the high level of innovation in agricultural biosciences and prepares graduates for a multi-path career allowing for flexibility and migration in the job market.As a graduate in Agricultural Biosciences, you will have a profound knowledge of molecular, biochemical and physiological processes contributing to agricultural production. You are able to optimize processes leading to genetic improvement of crops and livestock. Through knowledge on the genotype-phenotype relationship, you can optimize production environments. Graduates learn how to integrate heterogeneous data from different disciplines, handle large experimental data sets and become proficient in predictive analytics. You can assess molecular and computational methods with respect to their impact and trade-offs in practice and can communicate their relevance for agricultural production in a livable environment.
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Munich
Germany
80333
Germany
- 2 years
- Full Time
- On Campus Learning
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