M.Sc. Computational Mathematics

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Degree awarded	Master of Science (M.Sc.)
Duration and credits	4 semesters; 120 ECTS credits
Starts in	April (summer semester) and October (winter semester)
Language of instruction	English

About the programme

Are you a problem solver? Do you enjoy finding patterns and discovering new solutions to complex problems? If so, (computational) mathematics might be the perfect field for you! It combines the power of mathematics with the speed and precision of computers to solve real-world problems in fields such as engineering, (medical) data science and logistics.

Moreover, with the rise of artificial intelligence (AI), computational mathematics is more important than ever. Mathematics of AI, a subfield of computational mathematics, uses numerical methods and algorithms to solve AI-related problems, such as deep learning and neural networks. By studying computational mathematics, you’ll learn how to develop, implement and analyse the algorithms and models that drive today’s most advanced technologies.

Join the ranks of Mathematicians and make a difference in the world with computational methods!

Features

Math meets AI
Focus on mathematical foundations
Fully English-taught degree programme
Numerous partnerships with universities abroad

Programme syllabus

The core modules consist of two mathematics seminars and the presentation of your master’s thesis.

The compulsory elective modules are divided into module groups focusing on:

Algebra: with cryptography as well as computational algebra and logic
Analysis: with compressed sensing, mathematical foundations of machine learning, approximation theory and information based complexity
Applications: with signal- and image analysis, mathematical modelling as well as (stochastic) simulations
Geometry: with expander and random graph theory as well as convex geometry
Optimisation: with linear and nonlinear programming as well as computational game theory
Stochastics: with Bayesian inference, stochastic differential equations and Monte Carlo methods

Mathematicians continue to have outstanding career prospects, as they are highly sought after wherever high-level analytical thinking skills are a requirement. Their potential occupational fields are therefore less limited than is the case with medical doctors or engineers, who specialise in a specific sub-field of their discipline.

Outside of academic and research organisations, mathematicians find employment in nearly all private- and public-sector organisations. Nowadays, mathematicians' work typically makes heavy use of computing technology.

Traditionally, mathematicians are employed in the pharmaceutical industry, in the financial industry, insurance companies, consulting and business intelligence, market research, logistics, information technology and in the research and development departments of high-tech companies.

Looking for a vibrant and dynamic academic environment? The University of Passau is the right place! Located in the heart of Bavaria, Passau is a city that embraces innovation and new technologies.

As a result, the University of Passau is at the vanguard of highly topical research and teaching in computational mathematics.

With a world-class faculty and a commitment to staying at the forefront in new mathematical developments, the University of Passau is the perfect place to launch your career in this exciting and rapidly growing field.

To apply successfully, you need to have an undergraduate university degree in mathematics or a related discipline with a mathematics component of at least 110 ECTS credits. You were ranked among the best 70% of graduates within your cohort or the final gradefor your first degree should be (equivalent to) 2.7 or better under the German grading scale.

Your degree must have been earned over a course of study of a standard length of three years or more. If you completed a four-year non-ECTS degree, the 110 ECTS credit requirement is deemed to be met if approximately two-thirds of your credit points were earned in mathematics-related modules/courses.

If you have not yet received your final results and certificates at the time of application, you may apply using your Transcript of Records or other preliminary transcript. If you are successful in your application, you must then submit your final transcript and degree certificate no later than the 10th week of lectures.

As part of the application you must submit an English or German-language abstract/summary of your undergraduate dissertation/bachelor's thesis/final year project. If you did not write a dissertation/thesis as a formal part of your prior degree programme, you may instead submit an academic research paper or publication that demonstrates your ability to solve a scientific research problem independently.

Please note that we only recognise degrees awarded by universities with 'H+' status in the Anabin database of the German Central Office for Foreign Education. You can check the Anabin database online or contact the International Coordinator of the faculty by e-mail for advice.

German language requirements

This degree programme can be completed entirely in English. However, to be able to get by in Germany, students are nonetheless required to have German language skills at level A1 CEFR (beginner's level). If you do not meet this requirement at the time of your application, you will be offered a free beginner's German course during your first year of study. By the end of that year, you have to be able to present a German language certificate at level A1 CEFR.

English language requirements

You should provide proof of English language skills equivalent to level B2 CEFR.

Application periods and deadlines

Application period for the winter semester:

15 April - 31 May (direct applications)
1 April - 31 May (applications via uni-assist e.V.)

Please use the interactive application guide to find out which application method you can use.

Application period for the summer semester:

1 November - 15 December

Apply now!

Temitope Quadri, studying M.Sc. Computational Mathematics

"My name is Temi and I am studying the Computational Mathematics master's programme. What I appreciate most about the University of Passau is the learning atmosphere and the diversity. Learning is easy in the quiet and pleasant environment you find at the campus."

Video: student testimonial

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Video introducing the degree programme

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