All courses are in English.
1 June
The elite programme Data Science is an interdisciplinary programme that is carried out jointly by the Department of Statistics and the Institute for Informatics at LMU Munich. It is a modularised study programme:
The core module "Statistics" covers fundamental statistical concepts and methods. It consists of two courses, "Statistical Reasoning and Inference" and "Sampling and Experimental Design". The core module "Informatics" gives an overview of the steps of the knowledge discovery process and consists of two courses, "Knowledge Discovery and Data Mining" and "Big Data Management".
The "Individual Modules" comprise, for example, lectures on statistical modelling, multivariate data analysis, advanced programming, and database systems in regression modelling and multivariate data analysis. The module "Human Computation and Analytics" covers those aspects of data science in which humans either produce data and process and analyse it with the help of algorithms or in which data is presented to humans by a computer system. Models such as decision trees, neural networks, support vector machines, and ensembles are introduced in the module "Predictive Modelling".
Technical, legal, and ethical issues of data security are key issues, especially when dealing with personal data or when planning experiments in Data Science. These topics are covered in the module "Data Ethics and Data Security". In the "Elective Modules", students may choose courses in specialised fields from the Master's courses in statistics, informatics, and computer linguistics. The module "Data Science Practical" plays a central role in the curriculum of the Master's programme. Students will tackle real-world problems in cooperation with industrial partners. Summer schools, focused tutorials, and the DataFest are part of the module "Current Research in Data Science".
The MSc Data Science is an interdisciplinary programme. It is carried out jointly by the Department of Statistics and the Institute for Informatics at Ludwig-Maximilians-Universität München.
The curriculum is a modularised study programme. It comprises lectures, exercise classes, lab courses, and practicals. It also includes summer schools and focused tutorials.
Semesters one to two: Core modules Statistics and Informatics; Individual Modules (Fundamentals of Data Science); Predictive Modelling; Human Computation and Analytics
Semesters two to three: Data Ethics and Data Security; Elective Modules; Current Research in Data Science
Semester three: "Data Science Practical"
Semester four: Master's thesis and defence
In the module "Data Science Practical", students cooperate with industrial partners and research facilities in data analysis projects. This may include internships at the partner organisations.
124 EUR per semester
Living costs (including accommodation and health insurance) in Munich range from 800 to 1,000 EUR per month.
Please visit the website for more detailed information: www.datascience-munich.de
Proficiency in English
Please visit our website for more information.
1 June
The International Office helps visiting academics, PhD students, and postdocs who are travelling to Munich for a set period of time to find accommodation.
For further information, please visit the following link:
https://www.lmu.de/en/study/important-contacts/international-office/index.html
Rooms in shared flats are popular on the private market and reasonably priced at 400-600 EUR per month if located in central parts of Munich.
Ludwig-Maximilians-Universität München (LMU Munich) is recognised as one of the top-ranked universities in Europe. Research and teaching at the university's 18 faculties are committed to the highest international standards of excellence. Students can choose from over 200 degree programmes ranging from the humanities and social sciences to economics and law as well as medicine and natural sciences. A growing number of Master's and doctoral programmes are taught in English.
Ludwig-Maximilians-Universität München forms part of a unique network of research institutions, foundations, and corporations in and around the city. Its campuses and a lively international student community constitute an integral part of the urban landscape. Home to approximately 1.5 million people, Munich is not only an important hub for higher education, research, technology, and the media. With its renowned museums, galleries, theatres, and festivals, the capital of Bavaria also ranks among the major European cultural centres. Its proximity to the surrounding lakes and the Bavarian Alps adds to Munich's inimitable appeal.
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