How is mathematical analysis applied to companies
Bachelor of Science (B.Sc.)
- Start of studies
- Subject groupMathematics, business mathematics, STEM, technology
- Type of study
Full and part time
- Admission mode
- Area of interestMathematics, data science, economics, technology
- Normal period
- Application deadline
September 1st (winter semester) - please note the special regulations due to Covid-19 on the application portal.
- Specializations / major fields of study
- Business Mathematics
At the beginning of your studies, the focus is on mathematical fundamentals such as logical reasoning or exact mathematical reasoning. From the 3rd semester onwards, the subjects become less abstract; The focus is then on the calculation methods and algorithms of applied mathematics. Among other things, you will get to know a number of computer-aided simulation processes. In addition, you will acquire skills in programming, databases, English, physics, business administration and financial mathematics.
Your training in data analysis starts in the second semester with the subject probability theory and statistics. This subject area then accompanies you with several data science modules up to the 6th semester, whereby machine learning from data to AI applications is increasingly coming to the fore.
In the 5th and 6th semester you will work in an interdisciplinary manner with students from other courses and specialize in areas of application according to your personal interests. You can choose between the areas of specialization in business mathematics and industrial mathematics.
Finally, in the 7th semester, you will optimally prepare yourself for direct career entry: with a company internship - usually in cooperation with a company from the Hanover region - and an application-oriented bachelor thesis.
Within the specialization Technomathematics, the mathematical knowledge and methods in the area of the finite element method, in the simulation of technical systems and in image processing are applied. There are a wide range of options available for technical specializations in electrical engineering and mechanical engineering. This means that there are excellent opportunities to start your career in the classic engineering field, especially in fields of activity with complex technical calculations and simulations. The need for technically qualified university graduates with strong mathematical knowledge is also increasing in the automotive industry and its suppliers.
Within the specialization in business mathematics, there is the option of specializing in the banking and insurance sectors or choosing a cross-sector focus on corporate finance. Students interested in business informatics can visit the areas of business intelligence or supply chain management and deal with issues from the areas of big data, SAP or logistics. This makes it possible to pursue classic professional fields in banks and insurance companies, in controlling in larger companies, in software development and in consulting companies.
Course of studies and qualification goals
The students are enabled to creatively work on complex quantitative tasks from the fields of business or technology, especially using suitable software applications with the methods of applied mathematics. This includes the competence to transfer a specific problem into an abstract model and then to analyze and solve it with computer-aided methods.
The course conveys a broad and integrated knowledge, including the scientific basics and the practical application of applied mathematics, as well as a critical understanding of the most important theories and methods of applied mathematics and mathematical modeling. In addition to a sound mathematical specialist knowledge and the ability to implement mathematical methods on the computer, students acquire extensive skills in analyzing, structuring, modeling and formalizing application problems and thus universally applicable problem-solving skills. They thus have a total of knowledge and experience that enable them to independently further develop scientifically the methods they have learned. You can define, reflect and evaluate goals for your learning and work processes and thus design these processes independently and sustainably.
The students try out these competencies in the specializations of Business Mathematics and Technomathematics and acquire a selection of basic relevant specialist knowledge at the interfaces to the business and technical disciplines. In this way it is possible for them as a whole to incorporate scientific and technical progress in the solution of their professional tasks in an application-oriented manner and to react creatively to the changing demands of the professional world.
The students acquire the competence to work in interdisciplinary teams of experts, to guide the professional development of others and to deal with problems in a team with foresight. You can argue the solutions you have identified both with mathematical experts and with experts in the respective application disciplines and develop them further in interdisciplinary teams.
- Mathematical concepts and proofs
The students acquire basic skills in the field of mathematical proof and the axiomatic mathematical concept formation. They know the technical terms of analysis and linear algebra and can understand evidence in these subject areas and formulate them themselves in simple cases, using stringent mathematical notations. The basic competences acquired in the courses on analysis and linear algebra enable the students to understand the axiomatic structure in the subjects of applied mathematics in the further course of their studies. They are able to understand mathematically abstractly formulated statements and proofs about the properties and behavior of procedures and methods of applied mathematics.
- Algorithms and Schematic Computing
The students get to know a wide range of algorithms and calculation methods for solving problems from the fields of applied mathematics. They acquire the skill to carry out these calculation methods with the help of suitable software applications and can interpret the output of these programs using their theoretical mathematical knowledge of these methods. The experience gained in this way enables the students to familiarize themselves independently with processes and software systems that are new to them and to gain the necessary application security through appropriate literature studies and application experiments.
- Mathematical modeling skills
The students gain experience of how problems from business and technology can be translated into mathematical questions and then solved with the help of suitable mathematical calculation methods. In addition to extensive knowledge in a large number of examples, the students know the essential steps of the abstract modeling process. This enables you to select suitable models and to critically analyze the respective results against the background of the simplifying assumptions that are usually made.
In your later professional life, your skills will be in great demand when efficient, application-oriented solutions are required. This is why intensive practical relevance is of great importance in the Applied Mathematics (MAT) degree program.
You will do an internship of at least ten weeks at a suitable company in the region - usually in the 7th semester. This so-called practical phase offers you the opportunity to get a realistic idea of the reality of the profession as well as the possibilities, limits and challenges of the desired professional field.
Under professional supervision, you will learn to apply the knowledge and skills you have acquired during your studies in practice.
The practical phase is an essential part of the course; Their successful completion counts as prerequisites for admission to the Bachelor thesis.
We are pleased that you are interested in studying at Faculty I - Electrical and Information Technology.
For detailed information and for your application, please use the university's application portal.
StartUp your Study: Applied Mathematics
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