We are happy to inform you that the University of Bremen has established two new mathematics Master’s degree programs (taught in English, tuition-free), namely:
1) M.Sc. Mathematics – a theoretically and research oriented program.
2) M.Sc. Industrial Mathematics – an application-oriented program with strong mathematical components.
Both programs started this academic year with great success. Compared to study programs at other universities, our study programs are characterized by curricularly integrated research-based learning, a wide range of minor subjects and elective courses, excellent and individual support, all in a beautiful city with northern German flair.
A brief description of our Master’s programs can be found below as well as at the following website:
https://unihb.eu/math_mscs <https://unihb.eu/math_mscs>
1) M.Sc. Mathematics: Our four-semester (two-year) Master’s program distinguishes itself in that it emphasizes independent research from the very beginning. We offer a broad variety of advanced research courses on algebra, analysis, statistics, stochastics, and numerical mathematics, from which students can choose their area of specialization. There are several components that are unique to our Master’s program, such as our reading courses. These research projects provide a wide range of possible topics to delve into and prepare students perfectly not only for the final thesis, but also for a future career in either industry or academia (PhD studies, etc). Furthermore, all students can select between two ways of studying: a more theoretical direction focusing on mathematics (without a minor subject) or a more applied way of studying in which they choose a secondary subject such as biology, chemistry, computer science, economics, electrical engineering, geosciences, philosophy, physics, or mechanical engineering.
2) M.Sc. Industrial Mathematics: Industrial mathematics focuses on using modern mathematical methods to solve problems from science, engineering, and industry. Recently, mathematical foundations and algorithms for analyzing big data have become a key part of this. Our newly established international Master’s program provides a broad variety of lectures, seminars, and projects in four semesters. Students can choose from topics on, e.g., machine learning, inverse problems, optimal control, applied statistics, and finite element methods.
Central to our Master’s program is the so-called “modelling project”, in which student teams are assigned real-world problems in cooperation with industrial and institutional partners, and use mathematical modelling and analysis combined with numerical simulations to solve these. Finally, with his or her Master’s thesis each student will join an area of current mathematical research, and will be prepared for a future both in industry and academia (PhD studies, etc).
Sincerely Yours,
Academic Advisory Office – Mathematics
Filed under: Research and Grad School
iubmath 