Below are short descriptions of the 11 focus areas on the master program in Mathematical Modelling and Computation. Longer descriptions including lists of recommended courses are available for each focus area.
It is recommended to obtain competences within more than one focus area.
1. APPLIED MATHEMATICAL ANALYSIS
Contact: Christian Henriksen, DTU Mathematics, mail:
Applied Analysis provide important mathematical methods that are widely used in engineering, natural science, and industrial problems. Prototypical examples include motion analysis, material science investigations and shape optimization. (read more)
2. INDUSTRIAL AND APPLIED STATISTICS
Contact: Murat Kulahci, DTU Informatics, mail:
The field of industrial statistics has been receiving a renewed interest with expanding use of quality and productivity improvement methodologies such as Six Sigma. This focus area will equip the student with the practical statistical analysis tools required in today’s data rich environments. (read more)
3. SCIENTIFIC COMPUTING
Contact: Per Christian Hansen, DTU Informatics, mail: pch@imm.dtu.dk
Allan Engsig-Karup, DTU Informatics, mail:
Applications of mathematics in the analysis, modeling and solution of complex engineering problems often involve scientific computing – a combination of advanced mathematical techniques, high-performance computing, computer simulations and methods for optimization, data analysis and visualization.(read more)
4. STOCHASTIC DYNAMICAL MODELLING
Contact: Henrik Madsen, DTU Informatics, mail:
Tools for analysing and modelling dynamical systems based on available time series of data are more and more applied within important areas like finance, pharmaceutics, biology, and energy production (wind, solar, ..). (read more)
5. OPERATIONS RESEARCH FOR DECISION MAKING
Contact: Thomas Stidsen, DTU Management Engineering, mail: thst@man.dtu.dk
Operations Research (OR) apply mathematical methods to real-world planning problems. OR was initiated during the second world war, and has been applied extensively since then. Today many important planning problems are solved using mathematical optimization methods, often through the use of advanced software. (read more)
6. SECURE AND RELIABLE COMPUTING
Contact: Peter Beelen, DTU Mathematics, mail:
Bo Friis Nielsen, DTU Informatics, mail:
This focus area will give students skills from applied mathematics and computer science that are required to construct the modern pervasive IT and communication systems that will form the infrastructure of our society. (read more)
7. IMAGE ANALYSIS AND COMPUTER GRAPHICS
Contact: Rasmus Larsen, DTU Informatics, mail:
Image analysis and computer graphics play decisive roles in automating processes and in our daily lives. Both are closely linked to statistics, algorithms, scientific computing, optics, camera/sensor technology, graphics hardware and application areas, e.g. life science, medical imaging, food control, geoinformatics. (read more)
8. GEOMATICS
Contact: Allan Aasbjerg Nielsen, DTU Space, mail:
Precise positioning of cars, ships and airplanes using GPS, mapping of the impact of climate changes using Earth observation satellites, and combining spatial information for analyses and decision making are all examples covered by Geomatics that use advanced mathematics and information technology. (read more)
9. COGNITIVE SCIENCE AND TECHNOLOGY
Contact: Tobias Andersen, DTU Informatics, mail:
Cognitive science and technology uses mathematical models and data analysis as well as behavioural and neurophysiological experiments to understand human cognition and brain function. Our aim is to use our understanding in the development of new information and communication technologies. (read more)
10. MACHINE LEARNING AND SIGNAL PROCESSING
Contact: Jan Larsen, DTU Informatics, mail:
Machine learning is the key to make big data sets useful: In a complex world it takes a complex model to get a simple answer. Machine learning combine statistics, mathematical modeling, and computational methods to design, test, and visualize adaptive systems. We study complex and dynamical data sets such as speech, music, multimedia, and bio-medical signals with the purpose of designing innovative engineering solutions. (read more)
11. FINANCIAL ENGINEERING
Contact: Kourosh Marjani Rasmussen, DTU Management Engineering, mail: kmra@man.dtu.dk
Financial engineering is a multidisciplinary field relating to the creation of new financial instruments and strategies. Financial engineers are normally employed in the banking industry either as quantitative analysts or as part of product and strategy development or risk modelling and management teams. (read more)