Master Programme in Applied Computational Science, Physical Geography
In the Master Programme in Applied Computational Science with specialisation in Physical Geography, you will learn how to study complex processes in natural sciences, and how Computational Science can contribute to knowledge evolution in society. A few of many examples are environment and climate change, global environmental issues and
global cycles.
General
The Master Programme in Applied Computational Science with specialisation in Physical Geography will give you detailed knowledge about the underlying methods with respect to physical geography. Applied computational science can be divided into several components: mathematics, modelling, statistics, and programming. The borders are not sharp, as concepts and methods often combine these components.
In addition to knowledge of theory of computational science, there will be an emphasis on obtaining knowledge about the
practical tools that are used by professionals in the field and you will amongst several things train your skills in programming. You will get generic knowledge and skills of importance for computationally intensive jobs such as problem formulation, information search, data processing, scientific writing, and presentation techniques.
Programme structure
Courses 90 credits
NGEN14 Greenhouse Gases and Biogeochemical Cycles, 15 credits
MATA04 Mathematics for Scientists 2, 15 credits
MASB11 Biostatistics - Basic Course 7.5 credits
NUMA01 Computational Programming with Python, 7.5 credits
BERN01 Modelling in Computational Science, 7.5 credits
BERN02 Reproducible Data Science and Statistical Learning, 7.5 credits
BERN03 Introduction to Modelling of Climate Systems 7.5 credits
BERN04 Introduction to Artificial Neural Networks and Deep Learning, 7.5 credits
Degree project 30 credits
BERMXX Degree project Master of Science, 30 credits
Find more information in the programme sheet