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Applied Computational Science - Physical Geography: Master's Degree Project

Course • Master's level • 30 credits

The degree project gives you the opportunity to investigate an advanced topic where computational tools are used to study research questions in physical-geography. As the capstone of your Master studies, it integrates the knowledge you have developed within the programme.

Application dates

Start

Autumn 2026

Level

Master's

Language

English

Place of study

Lund

Course code

BERM08

Application dates

The Master’s Degree Project in Applied Computational Science with a specialisation in Physical Geography is a central component of your advanced studies. It consists of an independent research or development assignment in which you apply computational methods to problems in physical geography or, more broadly, the natural sciences.

Together with a supervisor, you select a topic and design a project that may involve literature studies, numerical analysis, modelling, simulationbased investigations or applied computational approaches connected to current research at the Faculty of Science or to collaborations with agencies, companies or other organisations. If the work is conducted outside the faculty, an additional supervisor with expertise in computational science will be appointed.

The project demonstrates that you meet the knowledge, skills and judgement required for a Master of Science degree, including the ability to describe physicalgeography research questions and to evaluate the possibilities and limitations of specialised methods within the field.

You carry out the project independently with regular supervision. At the start of the course, you prepare a study plan that includes a description of the assignment, a problem analysis and a timeline. The work may involve an indepth literature review, development or implementation of computational models, analysis of environmental and geographical data, simulation studies or theoretical investigations within a specialised area of physical geography.

The course includes compulsory activities such as lectures and seminars on scientific, academic and popularscience communication, with a focus on written and oral presentation, discussion and feedback.

Progress is reported through a halftime report and a midterm seminar (15 credits). You will also have the opportunity to reflect on your learning, identify areas where further competence development is needed, and plan how to acquire the knowledge required.

The project concludes with a scientific report in English, a brief popularscience summary in English or Swedish, and an oral presentation at a public seminar (15 credits). Before the final seminar, you and your supervisor review the work to ensure that all intended learning outcomes are met.

The degree project prepares you for doctoral studies and advanced professional roles where computational physical geography, modelling and data analysis are central. You gain experience in planning and completing a substantial scientific project, evaluating computational methods, analysing complex geographical and environmental systems, and communicating results clearly to different audiences.

Your skills are relevant in climate and Earthsystem research, hydrology, geomorphology, remote sensing, environmental monitoring, naturalhazard assessment, landuse planning, sustainability analysis, consulting, government agencies and research organisations.

Not available as a stand-alone course

This course is only available as part of a programme.

Prerequisites

Admission to the course requires courses corresponding to MATA04 Mathematics for Scientists 2, 15 credits, NUMA01 Computational Programming in Python, 7.5 credits, BERN01 Modelling in Computational Science, 7.5 credits, and BERN02 Reproducible Data Science and Statistical Learning, 7.5 credits. Furthermore, 15 credits in Physical Geography at the advanced level are required, as well as knowledge corresponding to English 6/B.

Selection criteria

Seats are allocated according to: ECTS (HPAV): 100 %.

Specific documents

Tuition fees for non-EU/EEA citizens

Citizens of countries outside:

  • The European Union (EU)
  • The European Economic Area (EEA) and
  • Switzerland

are required to pay tuition fees. You pay an instalment of the tuition fee in advance of each
semester.

Tuition fees, payments and exemptions

Full programme/course tuition fee: SEK 92,500
First payment: SEK 92,500

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Note that you may also need to pay an application fee, or provide proof of exemption.

Application fee

No tuition fees for citizens of the EU, EEA and Switzerland

There are no tuition fees for citizens of the European Union (EU), the European Economic Area (EEA) and Switzerland.

Contact us

Student counselling

Email: studentcounselling@math.lu.se