Master Computational and Applied Mathematics (CAM)

This degree programme is tailored to the current needs in applied mathematics and scientific computing. It is designed for students who appreciate to use rigorous mathematical analysis or scientific computing to predict phenomena or to optimize processes in the sciences or in engineering. Initially, the students acquire a firm grounding in mathematical modeling and applied analysis as well as in high performance computing. They learn to derive mathematical models and to reflect upon their properties and limitations. Starting from the second term, they are free to choose among a large variety of courses to specialize in two of the fields

  • Modeling and Applied Analysis (MApA),
  • Numerical Analysis and Simulation (NASi), 
  • Optimization (Opti).

The courses are taught in English. Thus the programme addresses students from all over the world who wish to acquire not only the mathematical knowledge, but also the cultural and communication skills needed for attractive employment options on the international level both in industry and in academia.

To respect possible interests or previous knowledge beyond mathematics or in other fields of mathematics, the students may also attend a certain number of modules chosen from the entire portfolio of FAU (Friedrich-Alexander-Universität Erlangen-Nürnberg) on the master level.

Starting in the winter term 2017/18, the master programme CAM replaces the master programme Technomathematik.

To get a general overview over CAM, see the brochure (in cooperation with IBZ) or the Folder_CAM (English version) / Folder_CAM (German version) or see the description of CAM on the daad page or read the text on English version / German version



Detailed information on CAM:

There is a Module Catalogue and general study plan available. For the winter term 2018/19 and for the summer term 2019 there is a special cataloge showing only those modules which will take place (see in the list of documents below).

Up to now the examination regulations are only available in German:
See on the bottom of this page in the list of documents.



Application for CAM:

The application for CAM is a two-step procedure:
Step 1: register online using the page
Note: Applicants who have not yet an  ''IdM Account'' have to register at IdM first (on IdM stands for Identity Management of FAU. Then, using your IdM account, you can set up your online-appication for CAM.
Step 2: Send your application in paper-form by post to the university's Master's Office.

Note: You can see the status of your application online. Hence, e-mails asking for the status of application will not be answered.

Read first:  Information on the application process for Master's programmes at FAU

(Note that on, there is a button on the bottom line to switch between German and English. On, it is on the top line.)

Here is a list (provided by FAU) of required documents. A letter of motivation is not required.

Application period:

  • for programme's start in October 2018: January 18th - July 15th
  • for programme's start in April 2018: December 11th, 2017 - January 15th, 2018
  • for programme's start in April 2019: probably(!) application will start in December 2018, mid-month
  • for programme's start in October 2019: decision on the application period is still pending

(Note that the application -sent by post- must have arrived at FAU within the given period.)

A frequently asked question: I have a bachelor's degree in a technical field such as Engineering, Physics, Computer Science,... (i.e., not in Mathematics or a mathematical programme such as 'Technomathematik', Economathematics) - can I get admittance to CAM? Answer: In this case your BSc must contain at least 45 ECTS of mathematics-related content, and an oral exam must be passed after the application is submitted and before admittance is possible. This oral exam can be remote, from a technically equipped room in your university to the e-studio in our university. In this oral exam it will be checked if you have basic knowledge in theory of differential equations or functional analysis, basic knowledge in numerics or optimization, and if you can express yourself on mathematics in English. 




Other Links:

Maybe you find the following links on the lectures offered by the division Modeling, Simulation, Optimization (MSO) of the Department of Mathematics helpful.

Further Help: