Applied Mathematics for Network and Data Sciences Mittweida University of Applied Sciences

All courses are offered in English. Participants can choose to write their Master's theses and take oral exams in English or German.

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. Modelling 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 characteristic of modern applied mathematics is its algorithmic view as a technology-driven field, combining challenging mathematical problems with industrial relevance and innovation.

The goal of the Master's degree programme in applied mathematics at Mittweida University of Applied Sciences 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. The focus of the programme is applied mathematics for machine learning and statistical data analysis as well as modelling. Courses regarding cryptanalysis/cryptography and graph theory for modern network and data sciences are also offered.

Students attend obligatory courses on machine learning, cryptography and cryptanalysis, advanced graph theory, simulation and visualisation as well as modern analysis for statistical learning theory. Programming and presentation skills are particularly encouraged through project work. Students may also choose from a comprehensive catalogue of attractive courses from both mathematics and applications. Students participate in the various research activities in which the professors are involved. Fields of active research include machine learning, several kinds of discrete mathematics, cryptography, and stochastic processes in biomathematics. Students are free to decide on the field in which they want to write their Master's theses. A five-month internship in industry or university research enable the students to apply their acquired knowledge in practice and would ideally support and lead to the thesis topic.

The thesis period takes another five months and culminates in a colloquium. For the duration of the thesis, regular attendance is not necessary. The Master's thesis is written in English (or if the student so chooses, in German). Of course, all courses are conducted in English.

15 May for the following winter semester

First semester:

• Computational Intelligence and Machine Learning 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)

Second semester:

• Computational Intelligence and Machine Learning 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 (*)

Third semester:

• Internship – Research in Application (industry or university research)
• Research Seminar

Fourth semester:

• 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.

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At Mittweida University of Applied Sciences, all study programmes offer the possibility to spend a semester abroad. To facilitate this, Mittweida University of Applied Sciences has built a network of approx. 180 partner universities.

Students are required to complete a research internship in the third semester. This internship should be in industry or at the university.

No tuition fees

www.hs-mittweida.de/en/study-orientation/application/semester-fee/

The Master's programme in Applied Mathematics for Network and Data Sciences can be taken up by those:

• with a first professional university degree in mathematics with a standard period of study of at least six semesters (usually a Bachelor's degree or diploma) or
• with a degree recognised as equivalent.

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)

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 offer German language courses outside the programme at no extra cost.

15 May for the following winter semester

No

Well-paid job opportunities are found in the nearby cities of Chemnitz, Leipzig, and Dresden. During the semester breaks (February/August/September), you will have enough time to work.

We assist you in finding a place in one of our dormitories close to the university. Therefore, you need to fill out the application form for accommodation: https://mietportal.studentenwerk-freiberg.de/ipack3/index.html#home. It is not possible to move into the dormitories on a weekend.

We have many contacts to industrial partners and advise the students accordingly. The students also benefit from our large alumni network.

Hochschule Mittweida (HSMW) is a state university situated in Saxony, with about 6,000 students, many from abroad. All Bachelor's and Master's programmes are accredited by German national institutions. HSMW continuously updates its educational programmes. A quality system sets norms for the use of the European Credit Transfer System (ECTS) for international academic recognition. The study programmes are characterised by a strong orientation towards practice. Students can immediately supplement their experiences with practical knowledge. HSMW offers lots of modern and well-equipped laboratories, seminar rooms and computer pools. 

HSMW cooperates with about 180 partner universities worldwide. It takes part in the European ERASMUS+ programme and is a founding member of the European University Alliance EURECA-PRO. 

HSMW is a member of the National Code of Conduct, which sets quality standards for the study conditions for foreign students at the university. The university offers students a wide range of sports activities.

The town of Mittweida is more than 800 years old. Public transport is not necessary – everything can be reached on foot or by bicycle. There are supermarkets near the dormitories where you can shop at affordable prices. You can go to the cinema, to the open-air swimming pool, bowling lanes, or visit small pubs. Cultural highlights include classical and rock concerts or the theatre performances at the university. Students can live very well in Mittweida. Prague and Berlin are less than 200 kilometres (125 miles) from Mittweida.