Общая Информация по Программе обучения "Applied Mathematics for Network and Data Sciences"

• Уровень: Магистратура
• Диплом: Master of Science (M.Sc.)
• Язык обучения: Английский
• Начало обучения: Зимний семестр
• Срок обучения: 4 семестров
• Форма обучения: Полная
• Учебные кредиты: 120 ECTS
• Стоимость: € 0 / Семестр
• Семестровый взнос: € 95 / семестр
• Правила приема: Без конкурса
• Минимальный уровень английского: B2

Описание программы обучения "Applied Mathematics for Network and Data Sciences"

The enormous technical progress during the last two decades resulted in highly innovative products and services that more than ever before are based on mathematical achievements. Modern mathematics is at the heart of an increasing number of innovations in the field of digital communication, satellite navigation, e-commerce, medical technology, and consumer electronics. Without modern mathematics there would be no navigation system, no mobile phone, no secure payment on the internet, no digital TV, and no MP3 player. Also there would be no efficient web search, no Blu-ray discs and no digital rights management (DRM). Modeling and simulation of computer and communication networks as well as social network analysis are also based on profound mathematical knowledge and methods. Current and previous developments in these highly innovative fields have led to a new understanding of mathematics. Modern mathematics is not only an auxiliary science for other sciences to solve technical and economic problems; nowadays it is considered as an independent, genuine technology. Its main characteristics are its algorithmic and technology-driven approach, combined with industrial relevance and innovation. The goal of this Master's degree programme in Applied Mathematics is to pursuade young people to participate in these ongoing developments in a most competent and comprehensive way and to give them a promising perspective for an academic or professional career in the field of mathematics and its applications to digital media.

Карьерные перспективы по завершению программы обучения "Applied Mathematics for Network and Data Sciences"

There is hardly a discipline where the job opportunities are as diverse and prospective as in mathematics. Mathematics is and still remains a subject of high job guarantee. Today, research labs of the high-tech and IT industry are employing an increasing number of mathematicians because of their analytical and methodological skills. Branches in which graduates are able to act are among others:

• telecommunications,
• IT-security,
• software development,
• microelectronics/consumer electronics,
• social sedia,
• automotive industry/telematics provider,
• medical technology,
• public service,
• research and development,
• teaching and training.

Due to the width of the programme, graduates can also become active in consulting firms as well as banks and insurance companies.

After accreditation, the Master's degree grants access to the higher public service in Germany (safety authorities, statistical offices etc.).

Ожидаемые результаты программы обучения "Applied Mathematics for Network and Data Sciences"

Graduates of the master's programme have in-depth theoretical and practical knowledge in various fields of applied mathematics which are essential to the design and operation of digital media; in particular they have in-depth knowledge in automata theory, coding theory, cryptology, mathematical network analysis, stochastic modeling, computational intelligence as well as simulation and visualization.  They are qualified to acquire new knowledge from other fields of mathematics and computer science by themselves, to recognise future scientific and technological trends and to incorporate them into their academic or professional work.

The graduates have an outstanding ability to abstract, conceptual, logical, structural and algorithmic thinking. They are able to formulate mathematical hypotheses, and prove or disprove them. They have excellent programming skills and in addition, a very deep understanding of the underlying mathematical structures and algorithms. They are qualified to cooperate interdisciplinarily with computer scientists and engineers in programming projects, and take over the project management in such projects.

Graduates are capable of reading mathematical research literature in English. They are able to use the international mathematical language both in speech and writing, and to present their results in mathematical texts and lectures and by using modern communication media at a high level of expertise. Their style of academic and professional work is characterized by persistence and perseverance. They are qualified to work scientifically on an independent basis, to join academic and public institutions, and to prepare for a PhD in mathematics or computer science.