Department of Applied Mathematics and Computer Science

DTU Compute

DTU Compute is an internationally unique academic environment with 400 employees and 10 research sections spanning the scientific disciplines of mathematics and computer science. We offer education ranging from bachelor's degrees to PhDs and support continuing education. We conduct research, teaching, and innovation of a high international standard – producing new knowledge and technology-based solutions to societal challenges. We collaborate with other universities, external organisations, and companies in Denmark and abroad. We believe in a diverse, inclusive workplace with a flexible work-life balance.

About

Research at DTU Compute

DTU Compute consists of ten pure research sections, each with its own focus, all engaging in cross-disciplinary research. These sections conduct research at the intersection of mathematics and computer science. Additionally, two sections focus on research-based innovation and collaboration with external partners, businesses, and organisations. Research also occurs at several separate research centres affiliated with one or more sections.

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Section

Algorithms, Logic and Graphs

The AlgoLoG section comprises leading researchers dedicated to research in the fields of Theoretical Computer Science and Discrete Mathematics — from AI and machine learning to algorithms.

Section

Cognitive Systems

CogSys researches how humans and machines interact, and how advanced data analysis can impact our quality of life — from the internet that reads minds to hearing aids that listen to our voices.

Section

Cybersecurity Engineering

This section focuses on the methods, processes, and tools for the design, development, and analysis of secure computing systems accessible through a network like the Internet — also known as cyberspace.

Section

Dynamical Systems

DynSys performs research within mathematics of dynamical systems – from energy systems to aerodynamics – encompassing modelling, forecasting, optimization, and control in both deterministic and stochastic systems.

Section

Embedded Systems Engineering

This section conducts research across the vast spectrum of computing infrastructure, from mobile phones to cloud computing, all aimed at addressing societal challenges and driving societal progress.

Section

Mathematics

This section carries out fundamental mathematics research. We establish the mathematical knowledge base for emerging new areas in the technical sciences and explore new applications of pure mathematics.

Section

Scientific Computing

SciCom conducts research that bridges applications, mathematical modelling, theory, and the associated numerical algorithms — the science of using computers and mathematics to solve problems in science and engineering.

Section

Software Systems Engineering

Software is an essential component of digitalisation, and its role is increasingly prominent. Our digital society requires software that is reliable, built on scientific and engineering principles, and aligned with societal values and expectations.

Section

Statistics and Data Analysis

This section focuses on statistics, quantitative genomics, bioinformatics, pattern recognition, and software development. We are committed to supporting other departments at DTU and external partners in these areas.
3D printet rabbits for use in VR calibration

Section

Visual Computing

VisComp conducts research in image analysis and computer graphics, covering areas such as medical image analysis, geometry and appearance modelling, computer vision, and the analysis of 3D microstructures.

Research & collaboration

Innovation

Our Innovation section assists companies and organisations in their development through collaborations with DTU Compute. It is one of two sections dedicated to research-based, cross-disciplinary innovation collaboration.

Research & collaboration

Tech4Civ

Tech4Civ is a unique section integrating research into the delivery of activities via the Living Lab, supporting private and public organizations in the democratization of technology for a sustainable future.

Research Centres

Some of the research at DTU Compute is conducted at centres affiliated with the department. These centres often involve collaboration with external partners, including other universities, organisations, and businesses both within Denmark and internationally. Our research centres are often based on one of our research sections, but they also engage in cross-disciplinary research.
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News from DTU Compute

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22 September 2025

New continuing education programme for high school teachers off to a strong start

Throughout the autumn, teachers from 22 high schools are enhancing their skills in bringing computational thinking and Python into mathematics teaching.

16 September 2025

GenAI at the edge: What do we do when generative AI stop improving?

This week, some of the world’s leading AI researchers are gathering in Copenhagen for the GenU workshop to discuss the future of generative AI. – In this news, Professor Søren Hauberg and Associate Professor Jes Frellsen from DTU Compute offer a concise insight into why we’ve reached a methodological impasse, why more computing power won’t solve the problem, and who needs to be involved in shaping the next generation of AI.

01 September 2025

There is a hidden simplicity behind how people move

DTU scientists show that once you account for geographical restraints, there are consistent patterns behind human mobility.

28 August 2025

Edu4Chip: Successful first summer school in important European chip-initiative

A totally sold-out summer school at DTU offered an introduction to the chip design process from specification to testing, including open-source tool chains. Bachelor’s and master’s students from eight European universities participated for learning and networking.

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EDUCATION

DTU Compute's teaching is rooted in the core research areas of the department: mathematics, statistics, computer science, and engineering. We offer a wide range of educational programmes, from Bachelor of Science, Bachelor of Engineering, and Master of Science degrees to PhDs and continuing education for professionals looking to upgrade their skill sets.
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Digital Chip Design at DTU

Most Danish companies involved in chip design are located in the Copenhagen area. For the past 50 years, DTU has educated most of the engineers working in chip design. Now, DTU Compute is further strengthening its digital chip design activities.

Dive into the research of digital chip design 

Calendar

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09

sep

22

okt

CodeRefinery workshop - 9 sessioner

09. sep 11:00 - 22. okt 14:30 | Are you an academic researcher or student using computing/data, and is your work held back by struggling with the programming or data management? Or isn’t your research reproducible or open enough? Then, join the CodeRefinery tools workshop.

06

okt

Defence by PhD student Sara Dorthea Nielsen

06. okt 09:00 - 12:00 | Predictive Modeling and Evaluation in Data-Driven Psychiatry

05

nov

06

nov

Digital Tech Summit

05. nov 09:00 - 06. nov 17:00 | Denmark's largest deep tech event: For those who want to shape the future: Digital Tech Summit is Denmark's largest deep tech conference and exhibition – the unique annual meeting place for researchers from the country's universities and their partners from the industry.
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Innovation partnerships

Collaborate with DTU Compute

If your company or organisation needs development or wants to access specialised knowledge and skill sets, DTU Compute offers excellent collaboration opportunities. These range from upgrading employees with specialised skills from our digital toolbox to longer courses with far-reaching results. We even offer full-scale research collaborations and partnerships.

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