Mathematics for Sustainability, Business, and Data Science Technische Hochschule Mittelhessen University of Applied Sciences

In this more application-oriented Master's degree the graduates continue their education in the fields of modern mathematics and learn in-depth scientific concepts, methods and techniques that enable the graduates to handle challenging and complex mathematical problems in applications.

The Master's programme is characterised by:

1. scientific orientation
2. concentration on the specialisations in "mathematics for sustainability", "business mathematics", and "mathematical data science"
3. particular emphasis on practical relevance project orientation
4. development and extension of capacity for teamwork, good organisational skills, and leadership skills, and
5. the Master's thesis as an application-oriented scientific work

The graduates develop the following professional skills and competences: application of knowledge, methods and techniques from diverse subjects of mathematics on concrete problems (further elaboration in mathematical and scientific expertise, scientific working methods, problem-solving competence, and analytical mindset), quick familiarisation in new fields of application which provides experts with high-quality solutions (self-competence, critical thinking, ability to transfer established methods to new problems in practice), procedural approach based on project management methods to handle functional and organisational difficulties appearing in practical questions (organisational skills and social skills), communication skills and well-founded judgement in critical dialogue with experts in practice (communication skills and leadership skills as part of social competencies). These key qualifications empower the graduates to assume managerial positions and leadership responsibilities in the private as well as the public sector ("higher civil service"). Highly qualified graduates are prepared to enter a doctoral studies programme.

Application via uni-assist for international applicants 

• from 1 April to 15 July (winter semester) and
• from 1 October to 15 January (summer semester)

Further information for international applicants is available from the International Office.

The Master's programme in Mathematics for Sustainability, Economics, and Data Science builds consecutively on a first professionally qualifying university degree with a standard period of study of six semesters (180 credit points/ECTS) from a university in mathematics or mathematics for sustainability, economics, and data science. The programme can also build on a first professionally qualifying university degree with a standard period of study of six semesters (180 credit points/ECTS) in a related programme. In this case, the first professionally qualifying university degree must contain mathematical components, particularly in the areas of:

• Analysis
• Stochastics
• Financial Mathematics
• Actuarial Mathematics, and
• Operations Research

to an approximately equal extent as the undergraduate programme "Mathematics for Sustainability, Economics, and Data Science" at the Technische Hochschule Mittelhessen. The Examination Board decides on the fulfilment of these requirements.

Access to the Master's programme in the English-language version is only possible if a first professional university degree can be proven in accordance with these requirements, and the overall grade of this first professional university degree is at least "good" (2.0; at least 80 percentage points according to Section 9, Paragraph 2 of Part I of the Examination Regulations).

For international applicants who have obtained their first professional university degree in a non-German-language programme, proof of German language proficiency is required in accordance with the "Framework Regulations on German Language Examinations for Studying at German Universities" in its currently valid version by the end of the enrolment period set by the THM at the latest. If proof of language proficiency cannot be submitted by the application deadline, proof of the missing requirements is to be provided, at the latest, by the enrolment deadline for the Master's programme in Mathematics for Sustainability, Economics, and Data Science set by the THM.

The semester contribution amounts to approx. 350 EUR per semester. This gives students access to free regional public transportation. It also includes certain discounts such as for the following: university cafeterias, a local outdoor pool, city theatre and a bike rental system. Further details can be found here: https://www.thm.de/site/hochschule/zentrale-bereiche/studiensekretariat.html/

Possible costs of living per month:

• Rent (fully furnished room in a student hall of residence or a private shared flat): approx. 350 EUR to 450 EUR per month plus a one-time deposit
• Semester contribution fee per semester (including free public transport): approx. 350 EUR
• Health insurance: approx. 140 EUR
• Groceries: approx. 200 EUR

Other budget items include:

• Study materials
• Phone, Internet usage
• Sports, culture, leisure
• Clothes & hygiene articles

Overall, you have to provide at least 992 EUR per month or have proof of a blocked account (11,904 EUR) for the extension of your residence permit.

THM's International Career Centre offers a wide range of career planning and career entry services for international students and graduates.

https://www.thm.de/site/en/international/welcome-stay/icc.html

The "InternationalTalents@THMprofession" qualification programme supports international students in their transition to the labour market and improves their career and residence prospects through the acquisition of interdisciplinary and professionally relevant skills through individual counselling and coaching.

https://www.thm.de/site/en/international/welcome-to-stay-/career-coaching-for-international-students.html

THM provides international students with information on finding suitable and affordable accommodation.

https://www.thm.de/site/en/international/welcome-to-stay-/living-and-studying-in-central-hesse/living-internationally.html

Experience shows that demand for accommodation is highest at the beginning of each semester (April, October), so you should start looking for accommodation around the end of the previous semester (February, July) if possible.