Quantitative geosciences

The course can be taken as a single course.

This course provides an in-depth introduction to quantitative and computational methods for modelling Earth science processes and analyzing geoscientific data. Centered around MATLAB, students will develop skills to write, test, and apply MATLAB code to solve and interpret models, analyze datasets, and visualize results. The course emphasizes standard techniques for integrating numerical predictions with field and laboratory data, while addressing the limitations and uncertainties inherent in modelling and data analysis.

The quantitative foundation of the course is built on fundamental models of diffusion, advection, deformation, and instabilities. Using these models, students will calculate and visualize the signatures of key natural processes, including hillslope erosion, geo- and hydrothermal dynamics, fluid flow, fluvial systems, glacial dynamics, flexural isostasy, landslides, and meandering.

Additionally, the course introduces essential elements of statistical data analysis, such as trend analysis, periodicity detection, correlation studies, spatial data analysis, and geostatistics. By the end of the course, students will have a comprehensive understanding of how to apply quantitative methods to explore and interpret complex Earth system processes.

Admission to the master’s program in geosciences requires a bachelor’s degree or equivalent qualification (180 ECTS) in geosciences. In addition, specialization in geology, geophysics, or equivalent of at least 80 ECTS is required. Applicants must have a minimum grade average comparable to a Norwegian "C" (2.5) in the ECTS scale, see the UiT webpage for international admissions for more information on how the point average is calculated.

Application code: 9371.

Knowledge

The student has

• knowledge of how to derive relevant geoscientific models from fundamental physical principles and mathematical relationships.
• solid knowledge of how analytical and numerical methods are applied to model key geoscientific processes.
• understanding of the role of computer programming as a powerful tool in geosciences.
• knowledge of how data analysis and visualization techniques are used to explore and interpret geoscientific phenomena.

Skills

The student can

• apply gradients, derivatives, integration, and differential equations to formulate and describe geoscientific processes.
• solve geodynamical models using both numerical and analytical approaches.
• demonstrate foundational skills in MATLAB programming and effectively visualize geoscientific data.
• perform basic statistical analyses to interpret and geoscientific datasets in space and time.

General competence

The student can

• use precise technical terminology to describe, discuss, and communicate mathematical modelling and data analysis concepts.
• work independently and collaboratively with peers, adhering to ethical standards in scientific practice.
• develop computational and quantitative skills applicable to solving key geoscientific problems.
• design algorithms and translate them into functional computer code.
• leverage programming as a tool to deepen understanding of natural processes and systems.

Anbefalte forkunnskaper

GEO-2023 Geodynamics and programming

This course adopts a student-centered, active learning approach. Each main topic is introduced through brief, interactive lectures that outline essential theoretical concepts. During these sessions, relevant MATLAB functions are also introduced, tested, and discussed collaboratively in class.

Following the lectures, students work both independently and in groups to solve tasks using analytical and computational tools. These tasks are designed to reinforce theoretical concepts and develop practical problem-solving skills. The solutions are then shared, discussed, and critically evaluated in plenary exercise sessions, fostering a collaborative learning environment.

The course consists of 40 hours of a blended format, combining lectures and hands-on practical exercises. This structure ensures that students gain both theoretical knowledge and practical experience in applying quantitative methods to geoscientific problems.

Language of instruction and examination

Schedule

This course is open to incoming exchange students.

Study Level: Master's

Prerequisites:
To take this course, you must first meet the requirements listed in the “Admission requirements” section above.

Important note for GEO courses:

If you come from a university that has a direct exchange agreement with the Department of Geosciences (GEO) at UiT, you may be allowed to take master’s-level GEO courses (course codes 3000–4000) even if you have not yet completed a bachelor’s degree or earned 180 ECTS credits.

For details on how to apply for exchange, course selection guidelines, or to contact the Incoming Admissions Team, please visit: Admissions for Student Exchange.

More info about the coursework requirements

Re-sit examination