Master of Science in Computational Engineering (Immatriculation until SS 2015)

you are on the detailed view
of the Master course Computational Engineering.

This course of study was closed in summer 2015. Please join the new designed course of study "Computational Science and Engineering". It starts in winter semester 2015/2016.

Bitte beachten Sie folgende Übergangsregelung: Für Studierende, die ihr Studium im Masterstudiengang Computational Engineering vor dem Wintersemester 2015/2016 begonnen haben, finden die Vorschriften der Studienordnung vom 10.11.2008 und der Prüfungsordnung vom 10.11.2008 weiterhin Anwendung, dies jedoch längstens bis zum 31.03.2018. Sie können auf Antrag an den Prüfungsausschuss jedoch nach den Bestimmungen der Rahmenprüfungsordnung (Bachelor/Master) und dieser Studiengangsspezifischen Prüfungs- und Studienordnung geprüft werden. Der Antrag ist unwiderruflich. Bereits erbrachte Prüfungs- und Studienleistungen werden nach § 19 der Rahmenprüfungsordnung (Bachelor/Master) angerechnet. Nach Antragstellung gelten dann auch die Änderungen in den Modulbeschreibungen für die Studierenden, welche die von der Änderung betroffenen Modulprüfungen noch ablegen müssen. Wiederholungsprüfungen sind jedoch jeweils nach Maßgabe der Modulbeschreibung in der Fassung abzulegen, die für die zu wiederholende Prüfung galt.

Because of the course is hold in English language, this description has been written also the English language.

At the web pages of the university you can find a short overview with common informations an informations for applying this course of study.

. . . 

Herzlich Willkommen, Sie befinden sich auf der Detailansicht des Master-Studiengangs Computational Engineering.

Da der gesamte Studiengang in englischer Sprache angeboten wird, findet für diese Beschreibung ebenfalls die englische Sprache Anwendung.

Auf den Webseiten der Universität finden Sie eine Kurzübersicht mit allgemeinen Angaben und Informationen zur Zulassung für diesen Studiengang.



Some more information (sub-pages)  


1. Introduction - Why studying Computational Engineering?

Computational Engineering (CE) is a new, rapidly growing major based on a core engineering discipline which is augmented by thorough knowledge in the two traditional disciplines applied mathematics and computer science. Thus, CE answers the ever growing demand of research and industry for engineers which know the principles of electrical engineering, e.g., as well as the elements of numerical mathematics.

Holding a master in CE you will be an expert for the virtual design – may it be of new scientific tools or of industrial products. As you probably know, virtual design has become a third column besides experiments and analytical studies.

The benefits of using numerical simulation in production and research are indisputable, and include more efficient utilization of resource and cost saving from this increased efficiency. Indeed, in many fields, modeling and simulation is integral and therefore essential to business and research. Numerical simulation provides the capability to enter fields that are inaccessible to traditional experiments and methods of inquiry. As computers become ever faster and more powerful, the range of application for modeling and simulation is also expanding all the time.

Enrolled Students will be educated in the following areas:

  • Applied Mathematics
  • Computational Methods
  • Software Concepts, Data Management, Visualization

They will come to know basic principles of modeling and simulation, learn how to use commercial programs with a sharp mind, how do deal with multiphysics problems and much more.


2. Study course profile

2.1 Objectives and features

If you finish this course of study successfully, you will get the academic degree Master of Science (M.Sc.).

The principle of the course of studies is designed interdisciplinary. The defining basis of this new course results of the unconventional methods of the course in Applied Mathematics, Programming and Visualization and it’s practice in Computer simulation in technical and natural systems.


2.2 Content requirements

In order to accept the application for "Master of Science in Computational Engineering" with the special field in electrical engineering/electronics engineering we expect a bachelor's degree in computational engineering with major topic in electrical engineering or information technology, or a bachelor, master or diploma in those fields or in physics or any other equivalent topic.

The master's program requires a greater degree of self-employed work. The theoretical requirements are higher than for the Bachelor's Degree. Represents a good abstraction assets and the interest in theoretical issues and their implementation in practical systems is advantageous.


2.3 Special features

This course of study is held in English.


2.4 Fields of activities for graduates

The Master’s examination constitutes the postgraduate certificate, qualifying for profession as well as research, of the Master’s program in Computational Engineering.

With a Master degree of Computational Engineering you can apply to both, research and industry.


2.5 Advanced qualification opportunities

The Master degree with verry good results qualifies to apply for admission for doctoral work (PhD student).


2.6 Group photos of students

You can find here some group photos of students of the study courses: Link


3. Course of the studies

3.1 What structure does the study course have?

The duration of the course studying for the Master of Science is a four semester program including the module examinations and the Master's thesis.

The course starts in Winter as well as in Summer. We do recommend the beginning at the Winter semester. International students will have to apply until 15th of July, for the coming Winter semester, 15th of January, for the Summer semester.

During the first three semesters, you have to take mandatory and elective courses in order to achieve a total sum of 90 credit points (30 credit points each semester). In the 4th semester, you will write your Master Thesis (30 credit points).


... To enlage please click at the picture ...


Mandatory courses

  • Applied Mathematics

    • Introduction to Numerical Mathematics
    • Analysis and Numeric of Partial Differential Equations

  • Computational Methods

    • Finite Element Methods
    • Computational Electromagnetics and Thermodynamics
    • Hands-on Introduction to Computational Electromagnetics
    • Numerical Linear Algebra
    • Coupled Problems

  • Software Concepts, Data Management, Visualisation I

    • Modelling and Simulation with Applications to the Life Sciences


3.2 Specialisations and selectable mandatory modules

For the time being, the CE course at our university offers a specialization in electrical engineering and information technology. For the future, a second specialization in mechanical engineering and ship building is foreseen as well.


Selectable Mandatory Courses (Courses are subject to change)

  • Applied Mathematics II
  • Computational Methods
  • Integrated Circuit Design
  • Information and Communication Theory, Signal Processing
  • Microsystems
  • Automation and Control Technology
  • Software Concepts, Data Management II
  • Visualisation II
  • Parallel and Distributed Computing


3.3 Time schedule / teaching and training forms

3.3.1 Time schedule

You have to prepare your own time schedule in order to the modules you want / you have to occupy. 


3.3.2 Teaching and training forms

  • lectures
  • exercise meetings
  • seminars
  • practical trainings
  • project
  • integrates lectures

Additional to this teaching events it is nessassary to spend time for self-study.


3.4 Examinations

Each module will be finished by an examination.

Examination periods (at each end of semester):

  • In the Winter semester: February and March
  • In the Summer semester: mid of July till end of September


4. Admission for a study course

Information of formal admission requirements and on applicable existing admission restrictions are displayed in the brief overview.



All applicants should meet the following criteria:

  • Completion of an excellent Master or Bachelor degree or a corresponding qualification in

    • Computational Engineering (in an electrical engineering course of study)
    • Electrical Engineering / Electronics Engineering / Automatics
    • Information Technology/Technical Computer Science
    • or comparable courses

with an ECTS grade of A, B or C or (if no ECTS grade is given) with a CPGA of at least 75%.

  • A basic study of at least 3 years is required.



The duration of the course studying for the Master of Science is a four semester program including the module examinations and the Master’s thesis.

The course starts in Winter as well as in Summer. We do recommend the beginning at the Winter semester.

You are advised to submit your application well in advance of the deadlines given below.

  • Winter Semester until 15 July for the commencing academic year (e.g. for WS 2012/13, applications sent by 15/07/2012)
  • Summer Semester, until 15 January for the commencing academic year (e.g. for SS 2012, applications sent by 15/01/2012)


Language proficiency

Our course in Computational Engineering is taught in English. Therefore, applicants must prove fluent English knowledge. One of the following English language proficiency certificates is required. The results shouldn’t be older then 2 years.

  • TOEFL score of at least 71% of the total score (IBT-Internet based test) 
  • or an IELTS of at least 6.0
  • or a Cambridge English: Advanced certificate
  • or successful completion in an English course of study
  • Native speakers are exempt.

Prior basic knowledge of German is recommended in order to ease daily life as well as to attend subjects that are offered in German. These subjects will require a basic knowledge of German of at least 480 hrs (certificate) and allowing you to choose from a wider range of subjects provided.



  • Application Form (Please read the instruction booklet before filling out the application forms).

As a foreign student please submit your application to the Studentensekretariat:

      University of Rostock
      Parkstr. 6
      18057 Rostock

      fon.: +49 381 - 498 1247
      fax: +49 381 - 498 -241
      e-mail: studentensekretariat(at)


5. Brochures / Regulations (Downloads)

5.1 Brochures


5.2 Regulations

You can find the documents of the study course in the web area "Ordnungen / Orders":


6. Advice

6.1 Departmental student advisory service

Departmental student advisory service / Studienfachberatung
Prof. Dr. Ursula van Rienen
Albert-Einstein-Straße 2, 18059 Rostock
Telefon: (0381) 498 7006
E-Mail: ce.ief(at)

Office of student affairs / Studienbüro
Tina Zorn
Albert-Einstein-Straße 2, 18059 Rostock, Seminargebäude, Raum 016
Telefon: (0381) 498 7006
E-Mail: ce.ief(at)

Examination Board / Prüfungsausschuss
Prof. Dr. Ursula van Rienen (Vorsitzende)
Albert-Einstein-Straße 2, 18059 Rostock
Telefon: (0381) 498 7006
E-Mail: ce.ief(at)
Please contact the Office of student affairs.

Student representation / Fachschaftsrat (Vertretung der Studierenden)
Fachschaftsrat Elektrotechnik
E-Mail: fachschaft.e-technik(at)


6.2 Student advisory service of the university

Academic Service Center / Allgemeine Studienberatung & Careers Service
Parkstraße 6, D-18057 Rostock
Telefon: +49 381 - 498 1253 or 1252
E-Mail: studienberatung(at)
Opening hours: Tue and Thu 09:00 - 12:00 and 14:00 - 17:00, Fri 09:00 - 12:00

Students office (for questions of admission, registration and re-registration) / Studentensekretariat (Ansprechpartner für Fragen zu Zulassung, Einschreibung und Rückmeldung)
Parkstraße 6, D-18057 Rostock
Telefon: +49 381 - 498 1230
E-Mail: studentensekretariat(at)
Opening hours: Tue and Thu 09:00 - 12:00 and 14:00 - 17:00 Uhr, Fri 09:00 - 12:00

International Office (advice for students from foreign countries) / Akademisches Auslandsamt (Beratung und Betreuung ausländischer Studierender)
Petra Schmidtke
Kröpeliner Straße 29, D-18055 Rostock, Raum/room 304
E-Mail: petra.schmidtke(at) or auslaenderstudium(at)
Telefon: +49 381 - 498 1211
Fax: +49 381 - 498 1210