MSc Topics

Our research

The GIS Unit develops and utilizes methods that seek structure in spatio-temporal data, thus turning raw data into geographic information, ultimately aiming at generating knowledge that leads to a better understanding of geographic patterns and processes. Our research focuses on the following areas:

Our methodological toolset draws from an interdisciplinary range of fields, including spatial analysis, spatial statistics, algorithms development, and computational techniques such as data science and agent-based modeling. For more information on our research, see our Research pages.

Choosing a topic

We recommend that you first take a look at the list of ongoing and completed MSc projects.

Think about what interests you most, and what you are good at. Do you want to program, are you good at it, or rather not? Do you like to work empirically, running experiments and analysing the results, or would you rather develop something new (in which case you would probably have to program)? Is real-world applicability important to you, or are you ready for blue skies research? Do you have your own topic, or a topic that you wanted to pursue with a third party (e.g. WSL, ETH)?

Finally, come talk to us. In the topic descriptions below, we have listed the contact persons in our group. Additionally, Robert Weibel can give an overview of the project topics in the GIS Unit.

Don’t forget that the MSc project is primarily a scientific project. Even if you might be more interested in applied work, the outcome must be more than what would typically be achieved in GIS projects undertaken by an engineering firm. Hence, what are the research questions you want to investigate? We are there to help you formulate suitable research questions and bring your research to fruition.

Selected open topics

Below follows a selection of topics that are currently available. For further topics, get in touch with the contact persons responsible for the four research areas listed above

Geographical Representation of Language Diversity (PDF, 102 KB)

Visualizing Language Ranges for a Web Atlas (PDF, 111 KB)

Extracting South American Language Diversity from Text (PDF, 109 KB)