Last Updated on August 28, 2023
Are you considering Munich school of data science? Would you like to know Munich school of data science ranking? This article will tell you everything you need to know about Munich school of data science.
The Munich School for Data Science is looking for excellent students in math, computer science, natural science, engineering, to train the next generation of data scientists at the interface of data science and four different application domain sciences: biomedicine, plasma physics. These domains are organized in the educational tracks of the research school. MUDS will strengthen domain-driven research by teaching methodological data science skills in an interdisciplinary and application-oriented fashion. Our main path to achieving this is to offer joint projects, each designed by two partners, a domain-specific application partner and a methodological partner, both supervising the PhD student and therefore ensuring methodological as well as application specific education within each of the four tracks.
Read on for more information on Munich school of data science ranking, technical university Munich data science, MS in data science in Germany eligibility & PhD in data science in Germany. You will also find related articles on Munich school of data science ranking on kobo guide.
The Munich School for Data Science (MUDS) is a joint initiative of Helmholtz Zentrum München (HMGU), Max Planck Institute of Plasma Physics (IPP), and the German Aerospace Center (DLR) with the Ludwig-Maximilians-Universität München (LMU) and the Technical University of Munich (TUM) as well as with the Leibniz Supercomputing Center (LRZ) and the Max Planck Computing and Data Facility (MPCDF), and an increasing number of industrial partners such as Roche and Boehringer Ingelheim.
MUDS is offering fully funded PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science, and an interest in training at the interface of data science and the scientific domains pursued at the three participating Helmholtz centers. Methodologically, it will cover a broad range of topics, from large-scale data management to data mining and data analytics (including machine learning and deep learning), from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are biomedicine, plasma physics, Earth observation and robotics. Consequently, a MUDS student will learn to develop and adapt state-of-the-art methods from data science and apply the acquired knowledge to the research domains of the respective Helmholtz centers.
The research will be accompanied by scientific and transferable and professional skills workshops, summer schools and events, as well as an international lab research stay, thus enabling them to become the outstanding data scientists of tomorrow.
Ms. in data science in germany eligibility
The master’s degree in Data Engineering and Analytics deals with the evaluation and processing of extremely large amounts of data.
Masters in data science is a 1.5 to 2 year course offered by numerous Institutions in Germany. Students looking to enroll themselves in this discipline must hold a bachelor’s degree in similar fields of science like mathematics, physics, statistics, computer science, or economics. The candidate will be admitted on the basis of GRE or GMAT test results which might follow up with a personal interview.
- The total program fees for acquiring this degree ranges from 16000 – 41000 INR/semester
- This adds up to a total of 64000 – 164000. If you choose a private university, this will include tuition charges as well.
- Apart from academic expenses, living expenses may add up to INR 70000.
- Candidates graduating from a German university with this degree earns an average of 50,00,000 INR annually.
- International candidates can apply for scholarships in some of the country’s most prestigious universities.
As German standards are quite high in most public universities, one must have a strong academic qualification to get admitted in the top institutions. They usually admit candidates in two cycles – summer and winter. The accepted exams vary from one university to another for the master’s program, some of which are TOEFL (Test of English as a Foreign Language), GRE (Graduate Records Examination), GMAT (Graduate Management Admission Test), and IELTS (International English Language Testing System).
|College||Eligibility||Admission procedure||Accepted exams||Deadline|
|Technical University Of Munich||Bachelors in stats/informatics/ related discipline||Entrance assessment for master’s program||GRE, GATE|
TOEFL (IBT): 88
|1 Nov – 31 Dec (summer)|
1 April – 31 May (winter)
|Ludwig Maximilian University of Munich||Bachelor’s degree in relevant field.||Academic excellence, official test scores.||GRE,|
|Varies with program|
|University Of Magdeburg||Bachelor in Computer Science or related field.||66-80%||TOEFL,|
|June 15 (winter)|
January 15 (summer)
|University of Mannheim||Bachelor’s degree in relevant field.||UG with a minimum of 48 ECTS points in the field of mathematics, informatics, and statistics||IELTS: 6,|
CAE: level C
|May 31 (fall)|
November 15 (spring)
|Technical University Of Dortmund||B.Sc. in Statistics, Mathematics, Computer Science, or related fields||Merit based||IELTS:6.5|
|Varies with program|
|Free University of Berlin||Undergraduate Degree Certificate||Letter of recommendation||TOEFL: 80|
|April 15 – May 31|
December 1 – January 15
|RWTH Aachen||Bachelors in STEM field||Work experience in preferred||TOEFL: 90;|
technical university of munich data science
Technical University of Munich,is among the top 9 technical universities in Germany and is known as the University of Excellence. Its academics are divided into 15 departments and 13 research centres. TUM provides 179 interdisciplinary education in the field of engineering sciences, natural & life sciences, management, social sciences, and medicine.
Admissions at the Technical University of Munich are available in 2 semester intakes of Winter and Summer. TUM has over 42,700 students in it’s graduate and undergraduate programs out of which 13,858 are international students. The offer of admission is based on several factors like language proficiency score, GATE/GRE score, work experience and work portfolio
The Technical University of Munich is a research university with campuses in Arcisstrasse, Garching and Freising-Weihenstephan. It is a member of TU9, and till now it is the only state university dedicated to technology.
- Data Engineering and Analytics (M.Sc., English)
- Program Duration – 4 Semester
- Admission semester – Summer and Winter
- Summer: 01 September – 31 October
- Winter: 01 January – 31 March
The university is ranked among the top research universities in Europe and Germany. It collaborates with TU9, an autonomous society of the most prestigious German Institutes of Technology. TUM has partnered with esteemed firms such as BMW, Audi, and Siemens to move economic information streams. It is also a member of LACTOSE, a regional network of top Asian and European universities for senior lecturers and students.
munich school of-data science ranking
|Name of institution||Unique features||Course Fee/year (Euro)||Program Offered & Duration|
|Technical University of Munich||Oldest and biggest tech university in germany|
World university ranking is #44
Prominent TU9 member
|No tuition||MSc Data Engineering & Analytics|
|Ludwig Maximilian University of Munich||2nd largest student population in Germany|
Ranks #32 (World University Ranking)
Excellent research facility
|No tuition||Masters of Data Science|
|University Of Magdeburg||Increased ranking by 200 in just a year|
Rated 4.5/5 in student diversity
12 students for each staff
|250||Master of Data and Knowledge Engineering|
|University of Mannheim||Ranks #157 (World University Ranking)|
Provides financial assistance to international students
|3000||Masters of Data Science|
|Technical University Of Dortmund||Ranks #39 (Young University Ranking)|
Highly innovative academically
|No tuition||MSc. Data Science|
|Free University of Berlin||Ranks #157 (World University Ranking)|
MS program has 27% international students
|607||Masters of Data Science|
|RWTH Aachen||Ranks #24 in engineering|
Known for specialization in research field
Partners with numerous industrial corporation, making the educton real world application based
|15,00||MSc. Data Science|
PhD in data science
The Munich School for Data Science (MUDS) has open PhD positions for students with a background in computer science, data science or similar, or one of the domain sciences biomedicine, plasma physics, earth observation and robotics with a very strong focus in computer science, data science or similar, or interdisciplinary study programs combining both (e.g. geoinformatics, bioinformatics).
The aim of MUDS is to train doctoral candidates at the interface of data science and the scientific domains pursued at the three participating Helmholtz centers. Methodologically, it covers a broad range of topics, from large-scale data management to data mining and data analytics (including machine learning and deep learning), from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are biomedicine, plasma physics, earth observation and robotics. Consequently, a MUDS student will learn to
(i) develop and adapt state-of-the-art methods from data science
(ii) apply the acquired knowledge to the research domains of the respective Helmholtz centers.
Our goal is to establish an internationally visible graduate school that attracts excellent candidates who are interested in interdisciplinary training specifically tailored to the needs of their individual projects. Their research will be accompanied by scientific and transferable skills workshops, summer schools and events, as well as an international lab research stay, enabling them to become the outstanding data scientists of tomorrow.