Overview This English‑taught Master of Science programme trains students to apply advanced mathematical theory and computational tools to real‑world problems beyond pure academia. It emphasizes both rigorous mathematical foundations and practical methods used in contemporary technology and data‑driven industries, preparing graduates for impactful roles in research, development, and applied sectors.
Programme structure The curriculum begins with a solid grounding in advanced mathematics. From the second semester onward, students focus on one of three specialisations: Advanced Pure Mathematics, Computational Mathematics, or Data Sciences. Throughout the programme students also take part in a seminar and complete a Master’s thesis in their chosen specialisation, allowing them to develop independent research or project work with academic supervision.
Language, progression and career paths Instruction is in English, and the programme includes language learning opportunities with mandatory German courses to support life and work in Germany. High‑achieving graduates may be eligible to enter the Faculty of Mathematics’ PhD programme, opening pathways into scientific research and academia. The degree also equips students for practical careers that require strong mathematical and computational expertise.
Programme requirements (components)
For detailed entry criteria, programme duration, course lists and application deadlines, please consult the programme website.
The master's programme runs over four semesters and totals 120 ECTS. Core lecture series — delivered by internationally recognised researchers — cover contemporary topics in both pure and applied mathematics and are reinforced by tutorial sessions that provide regular feedback on your progress. To avoid losing time because of visa delays, admitted students can begin an online course from home; this course continues on campus in Chemnitz and is credited toward the degree.
In the first semester you build a firm mathematical foundation (29 ECTS across four advanced courses). From semester two onward you specialise according to your interests in one of three tracks — Advanced Pure Mathematics, Computational Mathematics, or Data Science — earning at least 38 ECTS in your chosen area. The third semester includes an 8‑ECTS seminar to prepare you for independent research, and the fourth semester is dedicated to the 30‑ECTS Master’s thesis, supervised by a Faculty of Mathematics professor. Oral examinations are held at the end of each semester. Successful completion of the programme leads to the Master of Science (MSc) degree.
This master's program expects applicants to hold an undergraduate degree in mathematics. The core prerequisite is a completed Bachelor of Science (BSc) in Mathematics, which provides the theoretical and computational background needed for advanced study.
Successful applicants typically have a solid foundation in core mathematical areas (for example, analysis, algebra and numerical methods) so they can engage with the programme’s advanced and computational topics from the start. International students should ensure their undergraduate qualification is comparable to a BSc in Mathematics.
Winter Semester (International)
15 July 2026
Summer Semester (International)
15 January 2027
Winter Semester (EU/EEA)
15 July 2026
Summer Semester (EU/EEA)
15 January 2027
Graduates leave with advanced analytical and computational skills applicable to research and highly quantitative roles. The programme prepares you for careers in sectors that rely on mathematical modelling and data-driven methods—such as computational science, data analysis, algorithm development and other technically oriented industries—as well as positions in research institutions.
Outstanding students also have a clear route into doctoral studies within the Faculty of Mathematics, enabling academic and scientific research careers at universities and research centres.