Business Mathematics
Economics today would be unthinkable without mathematics. The complex structures and processes in globally interlinked economies and financial markets increasingly require mathematical models. It is no coincidence that several Nobel Prizes have recently been awarded to economists who have distinguished themselves through largely mathematical research.
The Bachelor's degree programme in Business Mathematics teaches you fundamental mathematical knowledge, skills and abilities, which are particularly relevant for business and economic applications. Graduates of Business Mathematics are able to solve complex economic problems using mathematical methods, utilising all the possibilities of modern computer technology.
Specialisations
Students research, for example, models of logistics, game theory or stochastic problems.
For example, they analyse economic problems with the help of mathematics.
Students create computer programs to solve problems in business mathematics.
- Faculty
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Faculty of Mathematics and Computer Science (Faculty 1)
- Degree
-
Bachelor of Science (B. Sc.)
- Standard period of study
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6 Semester
- Part-time possible
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No
- Start of studies
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Winter semesterSummer semester
- Admission requirement
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Abitur or subject-specific higher education entrance qualification or an entrance qualification recognized as equivalent
Language requirement
- Application: with at least B1 level German
- Admission to the degree program: with C1 level German (e.g. DSH-2)
- language courses and DSH exam at TUBAF
- Course language
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German
Graduates of the Bachelor's degree program in Business Mathematics are able to solve complex economic problems with mathematical methods using all the possibilities of modern computer technology. The diverse tasks include, for example,
- issues relating to the optimisation of operational processes,
- warehousing,
- location planning,
- the reduction of resource consumption,
- the control of traffic flows and
- the assessment of opportunities and risks in insurance and financial planning.
Important areas of application
- are in the insurance industry (statistics, tariff design, development of new products),
- in the banking and credit industry (risk management, investment banking, corporate and private customers, simulation calculation of building society tariffs),
- at financial and personnel service providers (corporate research and planning, software development, client consulting),
- software production (database analysis, development of customer-specific software, electronic business, qualified organisational consulting) and
- in the areas of controlling, logistics and marketing
Banks and insurance companies, financial service providers, management consultants and, above all, software houses are therefore sectors and companies with a considerable demand for labour.
Why study Business Mathematics at TUBAF?
Studying at TUBAF is interesting
- Classical, solid basic education
- Multiple application-oriented specialisations
- Thesis also possible in cooperation with industry and business
- Student exchange with partner universities in Europe, Canada and the U.S.A.
Studying at TUBAF is effective
- Efficient study programs and timetables tailored to the standard period of study
- exceptionally good supervision ratio
- intensive contact between lecturers and students
Studying at TUBAF is individual
- Teachers know the students personally
- individual solutions are developed for any problems that arise during studies
- adaptation of specialisation and application subjects to personal inclinations and abilities
The study program at TU Bergakademie Freiberg is exclusive
- the combination of classical basic mathematical subjects with the broad range of applications is unique in Germany
- many attractive areas of application
- highest quality of education by proven and committed professors:inside
Interests and skills you should bring along
- Interest in mathematics, but also in economics, computer science, natural sciences and technology
- Significant ability for logical and abstract thinking
- Enjoyment in structured problem solving
