Computer Science in the Natural Sciences (M.Sc.)

The most important facts at a glance:

 

Degree:

Master of Science (M.Sc.)

Standard period of studies:

4 semesters

Start:

Winter and summer semester

Admission restrictions:

Open admission

Application:

You find information on the application procedure for international students here.

Deadlines:

Winter semester: April 1 - May 15

Summer semester: October 1 - November 15

Required Bachelor's degree:

Computer Science (B.Sc.)

Mathematics (B.Sc.)

Physics (B.Sc.)

Homepage:

Studying Computer Science

Faculty:

Faculty 08: Physics, Mathematics and Computer Science

Accreditation:

The accreditation of study programmes for Bachelor and Master Degrees constitutes as a precondition for the granting of state approval.

Subject Matter

Computer science is a discipline dealing with the theory, techniques and applications of automated and machine storage systems and the processing and transfer of data and information, specifically with the aid of computers. Computer science has transformed our world and society over the past few years and decades as no other discipline has. Subsectors of computer science include practical and applied computer science, theoretical computer science and technical computer science. These sectors of Computer Science are represented by the following six work groups at JGU:

Algorithmic Geometry and Computer Graphics

Everyone can see the latest developments in computer graphics in the form of computer-animated films and computer games. The Algorithmic Geometry and Computer Graphics work group investigates the theoretical basis for efficient geometric algorithms and data structures and uses them in practical applications to create visualizations and to simulate movement processes. These applications are also relevant to computer-aided design, automated movement planning and packaging optimization.

Efficient Computer and Memory Systems

The research focus of this work group are memory systems and scalable computer systems. High performance computing (HPC) will progress into the realm of exascale computing over the next few years and create exciting challenges by so doing. HPC is in a time of transition from a purely computer-centric sector to an area where the management of data will play an ever greater role.

Information Systems

The primary subjects of this work group are data mining and machine learning. It develops methods to analyze large and complex quantities of data and adapts these methods for use in the life sciences and other areas (computational sustainability, energy, transport, social networks). The courses take the form of lectures, seminars and internships in the core areas of data mining and machine learning, but lectures are also offered on other aspects of applied computer science, such as database systems and software technology.

Software Technology and Bioinformatics

The research undertaken by this work group focuses on the development and application of bioinformatic methodologies and program packages, usually in close cooperation with academic and industrial partners. The potential applications for the developments include computer-supported diagnoses and prognoses as well as rational active ingredient design.

Theoretical Computer Science

The Theoretical Computer Science work group primarily investigates algorithm engineering in association with combinatorial optimization problems. Algorithm engineering involves the development and implementation

of algorithms for solving problems in inter-disciplinary projects. The research projects require the theoretical development of algorithms as well as their practical implementation. The issues examined are primarily concerned with combinatorial optimization.

Parallel and Distributed Architectures

The focus of this work group is the design, implementation and evaluation of scalable tools for genome sequence analysis (bioinformatics) and computational science applications, whereby modern high performance computing technologies (HPC) are used e.g.: many-core architectures (e.g. CUDA-enabled CPUs), multicore architectures, heterogeneous clusters, FPGAs). The development of the methods and tools is usually undertaken in cooperation with interdisciplinary partners at Johannes Gutenberg University, including the Faculty of Biology, the University Medical Center and the Institute of Molecular Biology.

Master entrance requirements

You can find information about the entrance requirements on the corresponding German website: Naturwissenschaftliche Informatik (B.Sc.)

 

Information

The International Office offers counselling for international students about the application process and general information.

The Student Counselling Office offers specific information on the subject (List available in German only).

The Student representatives give information from a student perspective (List available in German only).