|Mittweida University of Applied Sciences • Mittweida||4 Semesters|
|Master of Science||Onsite|
Modern mathematics is at the heart of an increasing number of innovations in the field of artificial intelligence, digital communication, forensics, e-commerce, medical technology, and social networks. In particular, all kinds of machine learning applications, industry 4.0, data sciences, and web-based services are based on strong mathematical concepts in order to be efficient and secure.
Modeling and development of respective algorithms and technologies rely on profound mathematical knowledge and methods. Current and previous developments in these highly innovative fields have led to a new understanding of mathematics and stimulate new mathematical research. The main characteristics of modern applied mathematics are its algorithmic view as a technology-driven field, combining challenging mathematical problems with industrial relevance and innovation.
The goal of the Master’s degree program in applied mathematics at our university is to persuade young people to participate in these ongoing developments in a most competent and comprehensive way as well as to give them promising perspectives for an academic or professional career in the field of mathematics and its applications to computational intelligence, network analysis, and data sciences.
On the one hand, the focus of the program is applied mathematics for machine learning and statistical data analysis as well as modeling. On the other hand, courses regarding cryptanalysis/cryptography and graph theory for modern network and data sciences belong to the specific topics in our program and focus.
- Computational Intelligence I (lectures, seminar, and lab)
- Foundations of Modern Cryptography (lectures, seminar, and lab)
- Topics in Modern Analysis (lectures and seminar)
- One elective course (*)
- Communication Skills (seminar)
- Computational Intelligence II (lectures and seminar)
- Simulation and Visualisation (lectures and lab)
- Cryptanalysis (lectures, seminar, and lab)
- Advanced Graph Theory and Network Algorithms (lectures, seminar, and lab)
- One elective course (*)
- internship – research in the application (industry or university research)
- research seminar
- Master’s thesis project (with colloquium)
* Elective courses:
Selected Topics in Computational Mathematics, Selected Topics in Computational Statistics, Selected Topics in Discrete Mathematics, Functional Mathematical Models for Machine Learning, Signal and Systems, Advanced Topics in Computer Science, Mathematical Logic, Statistics and Probability Theory, Digital Video Analysis
All courses are conducted in English.
Free Of Cost
English language proficiency is required at minimum level B2 of the Common European Framework of Reference (CEFR). We accept, among others, the following examinations:
- TOEFL Internet-based (iBT) at least 79 points, computer-based (CBT) at least 213 points
- IELTS (International English Language Testing System) at least Band 6.0
- Cambridge Certificate: First Certificate in English (FCE)
- Cambridge English (ESOL)
If you have successfully passed previous degree studies in English, you do not need proof of language proficiency.
German language skills are not required, but they are very useful for daily life outside the university. We recommend a minimum of language level A2. We offer German language courses outside the program at no extra cost.
Hochschule Mittweida is a state university situated in Saxony, with about 7,000 students, many from abroad. All Bachelor’s and Master’s programs are accredited by German national institutions. HSM continuously updates its educational programs. A quality system sets norms for the use of the European Credit Transfer System (ECTS) for international academic recognition. The study programs are characterized by a strong orientation towards practice. Students can immediately supplement their experiences with practical knowledge.
15 May for the following winter semester