Hochschule
Hannover University of
applied sciences
and arts –Fakultät I
Elektro- und
Informationstechnik

Applied Mathematics and Data Science (MAT)

Streaming films, communicating via messenger, booking holidays - mathematics is omnipresent. The potential of mathematical methods is also increasingly being used in industry and companies, and areas such as software and telecommunications, finance and insurance are already considered a "mathematical industry" today. This is where the Bachelor’s degree course in Applied Mathematics (MAT) comes in: Students will get a sound basic mathematical education in 7 semesters, learn mathematical methods relevant to practice and deepen their application in the business or technology sector. From the 5th semester onwards, students can specialise in application areas according to their personal interests and choose between the specialisations such as Business Mathematics and Technomathematics. The specialisation in Business Mathematics prepares students in particular for classic career fields in banks and insurance companies, in the controlling of larger companies, in software development and in consulting firms. The specialisation in Technomathematics offers excellent opportunities for starting a career in the classical engineering field, especially in fields with complex technical calculations and simulations. With its focus on application-oriented areas of mathematics and a strong practical orientation, the mathematics programme at the Hochschule Hannover (Hanover University of Applied Sciences and Arts) stands out clearly from the university mathematics programmes.

More information about the E-Campus Profiles of courses

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Brief overview

Degree
Bachelor of Science (BSc)
Start of studies
Winter semester
Subject group
Mathematics, Business mathematics
Form of study
Full-time and part-time
Admissions procedure
free admission
Field of interest
Mathematics, Data science, Business, Technology

Course contents

At the beginning of your course, the focus will be on fundamentals of mathematical such as logical reasoning or exact mathematical proof. From the 3rd semester onwards, the subjects become less abstract; the focus will then be on computational methods and algorithms in applied mathematics. Among other things, you will get to know a number of computer-aided simulation methods.
In addition, you will acquire skills in programming, databases, English, physics, business administration and financial mathematics.

In the 5th and 6th semesters, you will execute interdisciplinary tasks with students from other degree courses and specialise in application areas according to your personal interests. You can choose between the specialisations such as Business Mathematics and Technomathematics.

Finally, in the 7th semester, you will optimally prepare for your direct career entry: with a corporate internship - usually in cooperation with a company from the Hanover region - and an application-oriented Bachelor's thesis.

More information is given in the PDF file of the profiles of courses.

Fields of specialisation

Within the Technomathematics specialisation, mathematical knowledge and methods will be applied in the area of finite element methods, in the simulation of technical systems and in image processing. A wide range of options are available for technical specialisations in Electrical Engineering and Mechanical Engineering. This provides excellent opportunities for starting a career in the classical engineering field, especially in fields of work with complex technical calculations and simulations. The automotive industry and its suppliers also have a growing need for technically qualified graduates with a strong knowledge of mathematics.

The Business Mathematics specialisation offers the students the option of specialising in the banking and insurance sectors or choosing the cross-sectoral specialisation in corporate finance. Students interested in business information systems can attend the Business Intelligence or Supply Chain Management specialisations and deal with issues from the subject areas of Big Data, SAP or logistics, among others. This makes it possible to enter classic career fields in banks and insurance companies, in the controlling of larger companies, in software development and in consulting firms.

Course progression and qualification objectives

Students are enabled to creatively work on complex quantitative tasks from the fields of business or technology, in particular using suitable software applications with the methods of applied mathematics. This includes the competence to transfer a concrete problem into an abstract model and then to analyse and solve it using computer-aided methods.

For this purpose, the degree course imparts a broad and integrated knowledge including the scientific foundations and practical application of applied mathematics, as well as a critical understanding of the most important theories and methods of applied mathematics and mathematical modelling. In addition to a sound mathematical specialist knowledge and the ability to implement mathematical methods on the computer, students will acquire extensive competences in analysing, structuring, modelling and formalising application problems and thus universally applicable problem-solving skills. Overall, they will thus possess knowledge and experience that enable them to independently develop the methods they have learned scientifically. They will be able to define, reflect and evaluate goals for their learning and work processes and thus design these processes independently and sustainably.

The students will try out these competences in the specialisations in Business Mathematics and Technomathematics and will be able to select basic relevant subject knowledge at the interfaces to the business and technical disciplines for this purpose. In this way, they will be able to incorporate scientific and technical progress in an application-oriented manner when solving their professional tasks and to react creatively to changing requirements of the professional world.

The students will acquire the competence to work in interdisciplinary expert teams, to guide the professional development of others and to deal with problems in a team with foresight. They will be able to argue the solutions they have determined both to mathematical experts and to experts in the respective application disciplines and develop them further in interdisciplinary teams.

Mathematical conceptualisations and proofs

The students will acquire basic competences in the field of mathematical proof and axiomatic mathematical concept formation. They will get to know the technical terms of analysis and linear algebra and will be able to comprehend proofs in these subject areas and formulate them themselves in simple cases, stringently using the mathematical notations. The basic competences acquired in the courses on analysis and linear algebra will enable the students to comprehend the axiomatic structure in the further course of studies, also in the subjects of applied mathematics. They will be able to understand mathematically abstractly formulated statements and proofs about the properties and behaviour of procedures and methods of applied mathematics.

Algorithms and schematic calculations

Students will learn a wide range of algorithms and computational methods for solving problems from the subject areas of applied mathematics. They will acquire the skill to perform these computational procedures with the help of suitable software applications and will be able to interpret the output of these programs using their theoretical mathematical knowledge of these procedures. The experience gained in this way will enable the students to independently familiarise themselves with procedures and software systems that are new to them and to gain the necessary application security through appropriate literature studies and application experiments.

Mathematical modelling skills

The students will gain experience in how problems from business and technology can be translated into mathematical problems and then solved with the help of suitable mathematical calculation methods. In addition to extensive knowledge in a variety of examples, the students will know the essential steps of the abstract modelling process. Overall, they will thus be enabled to select suitable models and to critically analyse the respective results against the background of the simplifying assumptions usually made in the process.

Practical Experience

In your subsequent professional life, your skills will be primarily in demand when efficient, application-oriented solutions are required. Intensive practical relevance therefore has a high priority in the Applied Mathematics (MAT) degree course.

Thus, you will complete an internship of at least ten weeks at a suitable company in the region - usually in the 7th semester. This practical phase offers you the opportunity to get a realistic idea of the professional reality as well as the possibilities, limits and challenges of the intended professional field.

Under professional supervision, you learn to apply the knowledge and skills you have acquired so far in your studies in practice.

The practical phase is an essential part of the degree course; its successful completion counts as a prerequisite for admission to the bachelor’s thesis.

Documents

Ältere Dokumente

Contact

Field of specialisation - Technomathematics

Prof. Dr.-Ing. Sönke Schoof

Ricklinger Stadtweg 120
30459 Hanover

Room 1B.0.28

+49 511 9296-1246

soenke.schoof(at)hs-hannover.de

Field of specialisation - Business Mathematics

Prof. Dr. Michael Autenrieth

Ricklinger Stadtweg 120
30459 Hanover

Room 1H.1.16

+49 511 9296-1573

michael.autenrieth(at)hs-hannover.de

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