DTU Compute

DTU Compute – Department of Applied Mathematics and Computer Science – is a unique academic environment with 400 staff in mathematics and computer science. We offer education from bachelor’s to PhD level, support lifelong learning, and conduct internationally recognised research, teaching and innovation in a diverse and inclusive workplace with a healthy work–life balance.

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News from DTU Compute

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Neuroscience and Applied Mathematics

27 August 2026

A new mathematical method reads the brain and reveals patterns in brain activity

Research conducted by DTU Compute and Rigshospitalet shows that by using better mathematics, we can begin to see the brain not just as separate parts, but as a dynamic system with shifting patterns. It is another step towards understanding how the brain works – and, in the long term, how to treat it more precisely.

Enrolment 2026

27 July 2026

Record-breaking interest in DTU among young people

More than 3,300 applicants have DTU as their first choice, but political restrictions mean the university still has to turn away qualified young people who want to be engineers.

Defense Technology

15 July 2026

DTU, the Danish Defence Intelligence Service, and the Danish Industry Foundation in a unique collaboration on defense technologies

Denmark's technological preparedness must be strengthened, and companies and research must contribute to this. Therefore, a new, cross-cutting collaboration is being established.
Allan Peter Engsig-Karup, Associate Professor at DTU Compute. Photo: COWIfonden

Digital Twin Concept

03 July 2026

New simulation tool could reduce costs and risks in offshore structures

Researchers from DTU Compute have developed an advanced simulation tool that can predict how waves and ocean currents affect offshore structures. This makes it possible to test and optimise designs digitally before they are built in the real world.
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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, three 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

This section 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 & collaboration

DTU Data Insights Team

DTU Data Insights Team is an interdisciplinary unit dedicated to supporting other DTU departments and external partners within software, statistics and data analysis.
Photo: Bax Lindhardt.

From Intelligence to Business


DTU, the Danish Defence Intelligence Service (FE), and the Danish Industry Foundation in a unique collaboration to develop defence technologies that strengthen Denmark’s technological preparedness.
Visit From Intelligence to Business

Research Centres and Projects

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. See more and meet some of our projects.
Visit our centres
Photo: Bax Lindhardt.
Photo: Hanne Kokkegård

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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04

Sep

PhD Defence student Ayman Hussein

04. Sep 13:30 - 16:30 | “Fair Join Pattern Matching for Actors”

04

Nov

05

Nov

Digital Tech Summit 2026

04. Nov 08:30 - 05. Nov 18:00 | Mini‑conference on defence technology – organised by the Danish universities.
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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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