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

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.

First semester:

• Foundations of Modern Cryptography
• Computational Intelligence and Machine Learning I
• Topics in Modern Analysis
• Communication Skills
• Data Analytics and Visualisation

Second semester:

• Cryptanalysis
• Graph and Network Algorithms
• Computational Intelligence and Machine Learning II
• Simulation
• Functional Mathematical Models for Machine Learning

Third semester:

• 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 Application 

Fourth semester:

• Master's thesis project (with colloquium)

All courses are conducted in English.

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

For studies beginning in the winter semester, the application deadline for applicants with German university entrance qualifications (e.g. Abitur) is 15 July for all degree programmes. International applicants for a degree programme without admission restrictions must apply by 15 May.

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.

After their Bachelor's degree has been assessed for equivalence, all students receive conditional admission, which allows prospective students from non-EU countries to apply for a visa. Upon arrival in Mittweida, all students must pass a test in their first semester to demonstrate the mathematical knowledge they confirmed in their application by submitting a self-disclosure form. The test is offered three times during the first semester. Once the test has been passed, students are enrolled in the programme. After enrolment, the visa can be extended.

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

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

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.

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.