Computational Modelling and Simulation

Intake Season

Winter (October)

Duration

4 semesters

Academic Admission

First university degree qualifying for professional activity in Computer Science, Mathematics, Natural Science, Economics/Finance, or Engineering (BSc or higher, including MSc, German "Diplom", BSc [Hons], etc.) Proficiency in computer programming in (at least one) compiled programming language Calculus of functions in one and multiple variables (partial derivatives, integrals, etc.) Basics of linear algebra (matrix and vector operations, matrix inversion, decomposition) Basics of probability (distributions, elementary probabilities, axioms) Basics of algorithms and data structures (arrays, lists, search and sorting, complexity) BSc-level knowledge in the application domain of the elected track The CMS programme focuses on teaching the computer science and mathematics foundations of modelling and simulation and assumes familiarity with the above basics of the respective disciplines. Completed lectures on one or several of the following topics would be helpful but are not strictly requested: Parallel Programming / High-Performance Computing Numerical Methods / Numerical Algorithms / Numerical Analysis Stochastics / Probability / Stochastic Algorithms Data Visualisation / Information Visualisation / Scientific Visualisation Statistics / Experimental Design / Inference Methods Theoretical Computer Science / Formal Languages / Complexity and Computability Intelligent Agents / Knowledge Systems Software Engineering / Design Patterns / Scientific Code Development Database Management / Relational Data Models / Big Data Platforms Machine Learning / Data Mining / Computational Statistics

APS Certificate

An APS certificate is required for applicants who have completed their qualifying education in India, China, or Vietnam.

IELTS Score

Not specified

Application Deadline

Application deadlines are subject to changes. Please refer to the above university course link for the most accurate information.