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Facts and figures
Applied Mathematics for Network and Data Sciences
Develop your mathematical skills for the technologies of the future! The Applied Mathematics for Network and Data Sciences degree programme combines challenging mathematical content with a clear focus on practical application.
The close integration of theory, application and research provides you with the ideal preparation for challenging roles in industry and academia. Compared to large universities, you’ll benefit from small groups, personalised support and the opportunity to get involved in research and practical projects at an early stage.
The Saxon Institute for Computational Intelligence and Machine Learning is part of Mittweida University of Applied Sciences; its research partners include, amongst others, Porsche AG and the German Aerospace Centre (DLR).
An overview of the course content
The degree programme is taught entirely in English. It is therefore specifically aimed at open-minded students who wish to study and work in a global environment.
During your studies, you will work on topics such as machine learning, cryptography, network algorithms and data analysis – always with a focus on how these methods are applied in practice. In doing so, you’ll develop a way of thinking that goes far beyond traditional mathematics: you’ll model real-world problems, analyse complex data structures and develop solutions for specific technological applications.
On the Applied Mathematics for Network and Data Sciences programme in Mittweida, you’ll delve deeper into current fields such as computational intelligence, simulation or modern cryptography through your choice of specialisations. You’ll benefit from the opportunity to get involved in research and practical projects at an early stage.
Foundations of Modern Cryptography
Computational Intelligence and Machine Learning I
Topics in Modern Analysis
Communication Skills
Data Analytics and Visualisation
Cryptanalysis
Graph and Network Algorithms
Computational Intelligence and Machine Learning II
Simulation
Functional Mathematical Models for Machine Learning
Selection Courses (2 of 6)
- Advanced Topics in Computational Intelligence
- Advanced Topics in Simulation
- Advanced Topics in Modern Cryptography
- Advanced Topics in Data Analytics
- Advanced Topics in Functional Models
- Advanced Topics in Signals and Systems
Research Internship in Applications
Master’s Thesis
Applied Mathematics for Network and Data Sciences in Mittweida
In summary – Applied Mathematics for Network and Data Sciences in Mittweida
Full-time Master’s degree programme in Applied Mathematics
(120 Credits)
Once you have completed your Master’s degree, a wide range of specific career paths will open up to you, for example as a data scientist, machine learning engineer, AI specialist, cryptography expert or network analyst. Typical areas of work include data-driven industrial companies, IT security, the development of intelligent systems and research. Germany, and Saxony in particular, offer excellent prospects thanks to their strong technology and semiconductor industries.
Application and Admission
Applicants must hold a first professional university degree in mathematics comprising 180 ECTS credits (Bachelor’s degree). When applying, applicants must confirm via a self-declaration form that they possess the required mathematical knowledge; this knowledge will be assessed by means of a test in the first semester. Admission is conditional until the test is passed; failure to pass will result in de-registration.
Language requirements:
Applicants who have not obtained their university entrance qualification through the German Abitur, including a basic English course with an average mark of 2, must demonstrate English language proficiency at level B2 of the Common European Framework of Reference for Languages. Proof may be provided, for example, by a TOEFL test (iBT or iBT Home Edition) with a score of at least 76 points, the Duolingo English Test with a score of at least 110 points, or an equivalent certificate.
The application period for the winter semester begins on 15 October of the preceding year and ends on 15 July. You can register at hs-mittweida.de/bewerben. Once you have submitted all your documents, you can enrol. For international applicants, the application deadline is 15 May, to allow sufficient time to apply for a visa.
Please note: Following an assessment of the equivalence of their Bachelor’s degree, all students will receive conditional admission, which enables prospective students from non-EU countries to apply for a visa. Upon arrival in Mittweida, all first-semester students must pass a test to demonstrate that they possess the mathematical knowledge they declared in their application. The test is offered three times during the first semester; upon passing, students will be enrolled on the degree programme. Once enrolled, the visa can be extended.
Excellent study conditions, modern facilities and some of the most affordable rent prices in Germany for a university town mean you can focus fully on your studies. Tutorials are on hand to help with subject-specific queries, the SAXEED start-up network guides you on your journey towards developing your own business idea, and the Social Support Service provides assistance with specific life situations, such as childcare or caring for relatives. The campus also has plenty to offer: two music festivals a year, an active esports team and a vibrant student community. International students, for example, are closely connected through the Cosmopolitan Club.
Related degree programmes
Frequently Asked Questions
Yes, thanks to a flexible range of compulsory elective modules, you can choose your own areas of specialisation – for example, in data analysis (Data Science), optimisation or financial mathematics. Thanks to the typically small group sizes at Mittweida, the lecturers are always on hand to offer you personalised, individual support.
In contrast to pure, often highly abstract university mathematics, the Master’s in Applied Mathematics focuses clearly on solving real-world, highly complex problems from industry, business and data analysis. Rather than purely theoretical proofs, you will develop advanced mathematical models, algorithms and stochastic systems for practical applications.
Applicants must hold a first professional degree or a qualification from a state or state-recognised vocational academy in the field of mathematics.
As the Master’s programme has an international focus and much of the current research literature, software documentation and all teaching is conducted in English, a confident B2 to C1 level is required. You should be able to understand complex academic texts fluently and express yourself in subject-specific terms.
As a Master of Science programme, the course naturally involves high academic standards and a solid theoretical foundation. However, as the theory at Mittweida is almost always directly linked to application-oriented projects and computer-aided simulations, the subject matter remains accessible and easy to understand.
The prospects are outstanding. As a highly qualified mathematician with a Master’s degree, you will be in high demand worldwide in key sectors such as IT and Software Development, risk management in banking and insurance, logistics, and research-based companies.
