Simulation of tsunami waves triggered by the Tohoku earthquake on March 11, 2011.

Program Overview & Structure

One degree programme, many opportunities
Simulation of tsunami waves triggered by the Tohoku earthquake on March 11, 2011.
Image: Alexander Breuer
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What is Computational and Data Science?

In recent decades, computer-aided prediction of phenomena in science, industry and society has become a key technology of the modern information society. Today, no medicine, aeroplane or solar system is designed without first being sufficiently simulated on a computer. With the ongoing digitalisation of society (social networks or digital footprints), the increasing use of high-resolution sensor technology (in the environment or automotive industry) or computer simulations, large amounts of data are also being generated. Far-reaching advances in science, industry and society will therefore rely even more on the ability to analyse large amounts of data and simulate phenomena with the help of computers. The aim of the interdisciplinary degree programme is to teach students these fundamental skills in combination with an application discipline such as Neuroscience, Biology or Geology, thus preparing them for the challenges of the professional world of the coming decades.

Special features in Jena: Simulations with a high degree of realism and the analysis of large amounts of data can only be achieved using modern algorithms and their efficient implementation on powerful computers. Therefore, teaching the use of high-performance computers, in which several processors work together to solve the same problem, is an integral part of this degree programme.

Information

The curriculum of the CDS degree programme is divided into a compulsory area and a compulsory elective area.

Compulsory area

The compulsory area is designed to prepare students for the various challenges posed by interdisciplinary issues. This subject area|field is intended to ensure that graduates have the necessary foundations to develop innovative solutions to complex problems that may arise in the various fields of application.

The compulsory area consists of compulsory courses in the following three different subject areas:

  • Scientific Computing - representing reality on the computer

    3D visualisation of an earthquake simulation.

    Image: Alexander Breuer
    • Elements of computational and data-driven sciences
    • Mathematics models for optimisation problems
    • Scientific computing I
    • Scientific computing II
  • Computational Informatics - using high-performance computing efficiently

    Picture of the Ara server at FSU Jena

    Image: Andre Sternbeck (Universität Jena)
    • Algorithm Engineering
    • Parallel Computing I
    • Parallel Computing II
    • Visualisation
  • Data science - analysing large amounts of data

    A robot holds a book in its artificial hand. It appears to be reading a non-fiction book with its eyes.

    Image: Jan-Peter Kasper (University of Jena)
    • Algorithmic basics of machine learning
    • Big Data
    • Databases & Information Systems
    • Management of Scientific Data
    • Statistical methods

Compulsory elective area

The compulsory elective area is used to specialise within a study profile, which students choose individually. The following list shows possible study profiles in alphabetical order. Students can design further study profiles in consultation with the person responsible for the degree programme and the relevant subject areas.

  • Artificial Intelligence and its Application

    Efficient Machine Learning
    Machine Learning Accelerators
    Deep Learning
    Machine Learning Compilers
    Probabilistic Machine Learning
    Machine Learning for Geospatial Modelling

    Roboter-Gruß  am 11.06.2014 im Hörsaal 5 beim Tag der Forschung 2014 der Universität Jena.
    Image: Jan-Peter Kasper (University of Jena)
  • Bioinformatics

    Metabolic and regulatory networks
    Optimality principles in evolution
    3D structures of biological macromolecules

    Darstellung eines metabolischen Netzwerkes als Puzzle.
    Image: Jan-Peter Kasper (University of Jena)
  • Computational Finance

    Financial Mathematics
    Practical Financial Mathematics
    Seminar Computational Probabilities

    Euro-Banknoten und Euro-Münzen.
    Image: Jan-Peter Kasper (University of Jena)
  • Computational Material Science

    Phase Field Theory
    Advanced Computational Material Science
    Solid State Physics for Materials Science
    Algorithms of Computational Materials Science
    Modelling and Simulation

    Von kleinen Kanälen durchzogen ist dieses Versuchsmuster eines Silizium-Wafers.
    Image: Jan-Peter Kasper (University of Jena)
  • Data Science

    Computer vision
    Pattern recognition
    High-performance computing
    Parallel algorithms

    Netzwerkkabel mit dem Logo der National Security Agency (NSA)
    Image: Jan-Peter Kasper (University of Jena)
  • Medical Photonics (Microscopy)

    Optical Engineering Microscopy
    Biological Microscopy
    Image Processing II

    Mit einer Pipette werden Zellproben in eine sogenannte Mikrotiterplatte eingebracht.
    Image: Jan-Peter Kasper (University of Jena)
  • Medical Photonics (Spectroscopy)

    Physical Chemistry
    Light Matter Interaction
    Microspectroscopy
    Chemometrics

    Entwicklung nanostrukturierte optische Materialien mit völlig neuen Eigenschaften.
    Image: Jan-Peter Kasper (University of Jena)