Mathematics (MSc)

Mathematics embedded in an interdisciplinary environment is key to technology and innovation. The diversity of this fast-growing and evolving field addresses the challenges of problem-solving that ultimately shapes the future. Based on its achievements in higher education and research, the Department of Mathematics at the Georgia Augusta University of Göttingen continually enhances the close alliance between research and teaching. Consequently, one of the main objectives of this Master's programme is to prepare young mathematicians to conduct independent research and to make valuable contributions in industry and commerce as well as in educational and research institutions. Main features: Research-based teaching and learning – promoting research-related courses and occupationally-orientated training within a familiar atmosphere in which students are trained in conducting independent research Academic guidance and individual counselling – following the tradition tracing back to Lichtenberg, a professor of mathematics and physics at Georgia Augusta between 1770 and 1799, who said of Göttingen that people "are taught how to think rather than being continuously taught what they ought to think" Internationality and cooperation – enhancing students' ability to work in international networks and partnerships, extending and institutionalising the collaboration with research establishments in science, commerce and community in and around Göttingen, in Germany, and abroad Students may choose one out of three tracks, each with its own focus: general research-oriented track mathematical physics mathematical data science In this well-structured but highly demanding Master's programme, students start out by broadening and deepening their knowledge of mathematics acquired during undergraduate studies and are then introduced to new aspects of their field of specialisation including recent developments. A special focus is set on approaching traditional mathematical themes from a modern perspective. Profound expert and methodological knowledge is provided through an extensive and comprehensive selection of lectures, seminars and lab courses, encompassing topics in pure and applied mathematics, including statistics as well as minor subjects such as business administration, computer sciences, economics, philosophy or physics. In the mathematics programme, students choose lecture courses and seminars from various subjects such as algebra, analysis, geometry, number theory, topology, numerical analysis, optimisation, image processing, statistics, stochastics, and mathematical data science. In addition, students improve their soft skills in order to strengthen their personal responsibility and to acquire additional competencies for their future professional life. During their fourth semester, students work under supervision, but independently, on a scientific project. Part-time studies are possible. PDF Download