We focus on the application potential of the subject, but specializations in theoretical aspects are also possible. Possible applications are found in a wide spectrum of disciplines, including biology and medicine, natural resources and the environment, technology and product development as well as economy and finance. We believe that a profound basis in methods provides flexibility and the ability to survive in the changing labour market of the future.
Everybody talks about the weather, and somebody does something about it!
Most people watch the weather reports once in a while. But how do they make the forecasts? In short, forecasts are based on a system of equations, what we call a mathematical model, that describes pressure, temperature, humidity and wind. We collect data from different meteorological stations and feed them into this model. Then, the equations are calculated in powerful computers, and the answer is interpreted and presented as images. Meteorologists evaluate the results before presenting the weather forecast on the television.
Everything that can go wrong, goes wrong!
True, but the question is rather how often do errors occur, and when? The cleaning plant for reservoir water on an oil platform definitely ought to work. This kind of plant consists of technical components with different lifespan. The components are dependent on each other, but some are more critical to the plant than others. Reliability analyses are used to analyze such systems to improve maintenance routines and increase the operational reliability.
Learning for life!
On the course Industrial Mathematics you will not learn about meteorology or cleaning techniques. However, you will learn techniques for mathematical and statistical analysis, mathematical modelling and calculation techniques applied to many different problems and in different disciplines.
The use of computers is a natural and important part of the education. This programme cooperates closely with business and industry, and several project and master’s assignments can be solved in cooperation with external partners. Approximately half of our students continue with a doctoral programme in mathematical subjects or other disciplines.
The labour market is good, and the background in basic subjects equips the students for work within a multitude of disciplines.
Compulsory and recommended directions:
Algorithms and Computer Structures
Numeric solution of diff. equations
Diff.equ. and Dynamic Systems
Algebra and Higher Arithmetic or elective courses
4th and 5th years:
Non-technological course x 2
Elective courses x 5
Department of Mathematical Sciences: www.math.ntnu.no