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Published education catalogue

Computational Science: Computational Methods and Models for Complex Systems

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: BERN10

The published source does not provide a description.

Entry requirements

Admission to the course requires 90 credits in natural sciences, including knowledge equivalent to at least one of the following courses: BERN01 Modelling in Computational Science, 7.5 credits FYSN33 Applied Computational Physics and Machine Learning, 7.5 credits and at least one of the following courses: FYSB23 Basic Statistical Physics and Quantum Statistics, 7.5 credits MASC13 Markov Processes, 7.5 credits MASC14 Stationary Stochastic Processes, 7.5 credits In addition, proficiency equivalent to English 6/B is required.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

Source and updates

Skolverket Susa-navet

Retrieved: .

Published: .

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-07-06T16:22:56