UNDERGRADUATE




GERMAN UNIVERSITIES ARE RANKED AMONG TOP GLOBAL UNIVERSITIES
German universities offer degree programmes that fit every wish and level of education. Depending on where you are in your academic career, German universities offer you the following options: begin a bachelor’s programme as a first-time student (undergraduate study). complete several semesters of study abroad as part of your degree programme in your home country. enroll in a graduate programme after receiving your undergraduate degree. earn your doctorate.

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the top popular courses for you

Master of Science in Computational Mathematics
In addition to being a science in its own right, mathematics plays a fundamental role in the quantitative areas of practically all other academic disciplines, particularly in the natural sciences, engineering, business administration, economics, medicine and psychology. Mathematical results permeate nearly all facets of life and are a necessary prerequisite for the vast majority of modern technologies – and as our IT systems become increasingly powerful, we are able to mathematically handle enormous amounts of data and solve ever more complex problems. Special emphasis is placed on developing the students' ability to formalise given problems in a way that facilitates algorithmic processing. Also, they are enabled to choose or develop, and subsequently apply, suitable algorithms to solve problems in an appropriate manner. The degree programme is theoretical in its orientation, with strongly application-oriented components. Studying this programme, you can gain advanced knowledge in the mathematical areas of cryptography, computer algebra, algorithmic algebra and geometry, image and signals processing, statistics and stochastic simulation, dynamical systems and control theory as well as expert knowledge in computer science fields such as data management, machine learning and data mining. Furthermore, you will have the chance to learn how to apply your knowledge to tackle problems in areas as diverse as marketing, predictive analytics, computational finance, digital humanities, IT security and robotics.
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Master of Science in Computational Mathematics
In addition to being a science in its own right, mathematics plays a fundamental role in the quantitative areas of practically all other academic disciplines, particularly in the natural sciences, engineering, business administration, economics, medicine and psychology. Mathematical results permeate nearly all facets of life and are a necessary prerequisite for the vast majority of modern technologies – and as our IT systems become increasingly powerful, we are able to mathematically handle enormous amounts of data and solve ever more complex problems. Special emphasis is placed on developing the students' ability to formalise given problems in a way that facilitates algorithmic processing. Also, they are enabled to choose or develop, and subsequently apply, suitable algorithms to solve problems in an appropriate manner. The degree programme is theoretical in its orientation, with strongly application-oriented components. Studying this programme, you can gain advanced knowledge in the mathematical areas of cryptography, computer algebra, algorithmic algebra and geometry, image and signals processing, statistics and stochastic simulation, dynamical systems and control theory as well as expert knowledge in computer science fields such as data management, machine learning and data mining. Furthermore, you will have the chance to learn how to apply your knowledge to tackle problems in areas as diverse as marketing, predictive analytics, computational finance, digital humanities, IT security and robotics.
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MSc. 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 Ludwigs-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 1-2: Core modules Statistics and Informatics; Individual Modules (Fundamentals of Data Science); Predictive Modelling; Human Computation and Analytics Semesters 2-3: Data Ethics and Data Security; Elective Modules; Current Research in Data Science Semester 3: "Data Science Practical" Semester 4: Master’s thesis and defence
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