Saarland University vs Technical University Munich

Biotechnology is a very broad field and graduates from the M.Sc. programme in Biotechnology at Saarland University have access to a wide range of career options. Biotechnologists develop new drugs and diagnostic test procedures, they cultivate plants with specific resistance or tolerance properties and they design biofuels and biopolymers.

Students learn how to examine and analyse complex systems experimentally and how to describe these systems using mathematical and bioinformatics models. The focus of the programme is on systems biotechnology and on the associated fields of bioinformatics, natural products and active pharmaceutical ingredients, molecular biotechnology and bioprocess engineering.

In the Master's program in Molecular Biotechnology, you will deal with the production and construction of natural and artificial biomolecules. While classical biotechnology is mainly concerned with the production route and the associated engineering process – such as fermentation or separation processes – molecular biotechnology focuses on the biosynthetic performance of the cell itself. It also concerns the construction and efficient synthesis of artificial biomolecules with improved or completely new functions through protein design. This links to the new field of Synthetic Biology. By intervening in the structure and function of the biomolecule, you can change the genetic configuration of the producing cell or organism. This field of work therefore requires the interdisciplinary application of genetic engineering, protein chemistry and biophysical and bioinformatics methods.

• Applicants must have a Bachelor’s degree (B.Sc.) or equivalent university qualification in Biotechnology or a closely related subject area. As a rule, Bachelor's degrees in the following disciplines will be accepted: Bioengineering, Bioprocess Engineering, Bioprocess Technology, Biology, Biosciences, Life Sciences, Pharmaceutical Science, Chemistry or Bioinformatics.

• The prerequisite for admission to a Master's program is a qualified bachelor's degree of at least six semesters or an at least equivalent degree in the fields of life sciences biology, biology, molecular biotechnology, biochemistry, or a comparable program of study at a German or foreign university

Artificial intelligence is now being put to use everywhere, in online shopping, autonomous driving or medical data analysis. The international master's programme 'Data Science and Artificial Intelligence' aims to prepare students for demanding national and international research and development activities in this field. The Master's programme is based on complex data analysis and automation: from mathematics and statistics to machine learning, artificial intelligence, big data, data management, modelling and simulation or data visualization.

• The Department of Informatics at Technische Universität München (TUM) is one of the biggest and most renowned informatics departments in Germany.
• With more than 60 professors, students can find a competent contact partner for any subject related to computer science.
• Handling and analysing very large amounts of data is an urgent problem in many areas of science and industry, one that requires novel approaches and techniques. 
• The Master's programme Data Engineering and Analytics steps up to these developments and provides an education that on the one hand enables graduates to design and plan industry grade solutions in the area of Big Data and on the other hand creates a solid starting point for ventures into research.

• High school diploma 
• Advanced proficiency in English (level C1)