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Master Mathematics and Computer Science

Mathematics and Computer Science is an interdisciplinary programme with an equal share of mathematics and computer science, and provides the?opportunity to combine the two disciplines in seminars and project modules. The programme is designed for people with a Bachelor's degree in mathematics or computer science, or related fields at the interface. We promise cutting-edge training in both fields, individualised learning with 1:1 supervision, an application-oriented focus and excellent career perspectives in Germany and abroad.?

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Career Prospects

Graduates of the Mathematics and Computer Science programme have excellent career prospects with their sound, fundamental knowledge, both in the fields of mathematics and computer science as well as in application areas such as data science, big data, AI, etc.

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Possible Professions:

  • Data Science/ Big Data/ AI

  • Insurances

  • Pharmaceutical industry

  • Software Engineering

  • 伟德国际_伟德国际1946$娱乐app游戏icine

  • Mobile technologies

  • Process automation

About the degree programme
Degree programme: Mathematics and Computer Science
Official Designation: Mathematics and Computer Science
Degree: Master of Science (M.Sc.)
Study mode: Full-time
Language of instruction: German English
Start of studies: winter semester, summer semester
Standard study duration: 4 semesters
Admission type: Open admission (with an aptitude assessment process)
Minimum foreign language skills: English B 2
Please note: Admission requirements according to § 4 of the exam regulations. Introductory events take place closely before the start of the lecture period: http://www.uni-augs…; start of the lecture period: https://www.uni-aug…
Prospective students requiring a visa should take note of the recommended application dates Application deadlines
Application deadline for the winter semester: 01. September

Contents

As a masters programme, the curriculum is very flexible and allows for individual pathways. Due to this flexibility, we can only provide a rough outline of the content. Details can be found in our module handbook (click here for the module catalogue)

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Precise composition of the programme ? 伟德国际_伟德国际1946$娱乐app游戏 of Augsburg

Mathematics

Approximately 25% of the programme consists of mathematics lectures. You will take courses at Master's level with a focus on mathematics related to algorithms and applications, such as modelling, numerical methods, optimisation and statistics. But there are many more options: courses in pure mathematics are equally allowed and encouraged!

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Computer Science

Another 25% of the programme is made up of computer science courses. You will take master's level courses focusing on areas of computer science that require a mathematical background, such as machine learning, quantum computing and complexity. However, there are many more options in the computer science section.

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Seminars

You will take two seminars (i.e. small group classes in which students work together interactively on a topic and give presentations), one in Mathematics and one in Computer Science. Seminars make up approximately 7.5% of the programme.?

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Mathematics and Computer Science Project

Another 10% of the programme is the individually supervised maths and computer science project. A professor of your choice will assign you a current topic motivated by industrial applications or recent research in their field. The project then involves the implementation of algorithms that make progress on this topic. Topics in mathematics can be in areas such as data science, image processing, statistics and AI in medicine, inverse problems or high performance computing, and much more. The mathematics professors and their areas of expertise can be found on? this website. For the computer science professors click here.

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Applications

A further 7.5% of the programme consists of courses in areas where mathematics and computing are applied, for example courses in computational methods in materials engineering. The aim is to broaden your horizons and give you an idea of possible job opportunities outside of academia.?

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Master's thesis

The remaining 25% of the programme is your 6-month Master's thesis, where you will be involved in cutting-edge research with individual supervision and support. Knowledge gained from seminars and the project course can form the basis of a Master's thesis, but you are not required to complete your Master's dissertation with the same supervisors.?

Sample Curriculum

Mathematics Elective (e.g. Mathematical Statistics)
8 CP
Mathematics Elective (e.g. Calculus of Variations)
8 CP
Computer Science Elective (e.g. Analyzing Massive Data Sets)
8 CP
Computer Science Elective (e.g. Machine Learning and Computer Vision)
8 CP

Sum: 32 CP

Mathematics Elective (e.g. Numerical Analysis of PDEs)
8 CP
Mathematics Elective (e.g. Algebraic Geometry 1)
8 CP
Computer Science Elective (e.g. Quantum Algorithms)
5 CP
Computer Science Elective (e.g. Foundation Models in Deep Learning)
5 CP
Computer Science Seminar (e.g. Seminar Quantum Algorithms)
4 CP

Sum: 30 CP

Applications (e.g. Computational Physics and Materials Science)
8 CP
Mathematics and Computer Science Project
10 CP
Mathematics Seminar
4 CP
Computer Science Elective (e.g. Process Mining)
6 CP

Sum: 28 CP

Master Thesis with Colloquium
30 CP

Summe: 30 CP

Student counselling services

For any questions about the study programme please do not hesitate to contact our student counselling representative via the email address given below.