Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.
Multiple Correspondence Analysis (MCA) is a geometric data analysis technique designed to uncover patterns and structures in complex categorical datasets. Rooted in the tradition of French data analysis pioneered in the 1960s by French statistician Jean-Paul Benzécri, MCA represents data as clouds of points in a multidimensional space. The position and distance between these points […]
Welcome Methods of AI in Modern Data Management Systems Description: This course is at the intersection of AI and data system design. The basic idea is to learn where the application (!) of AI methods may benefit the design of specific components of a data management system. The students will learn about opportunities as well as […]
The aim of the course is to introduce the student to machine learning techniques and enable the student to apply these methods to analyze complex data sets as typically encountered in modern research. The student will achieve an understanding of the theoretical background of supervised- and unsupervised machine learning techniques and will gain practical experience […]
Enrolment guidelines This is a specialised course where 50% of the seats are reserved for PhD students enrolled at the Faculty of SCIENCE at UCPH and 50% of the seats are reserved for PhD students at other faculties and universities. Seats will be allocated on a first-come, first-served basis and according to the applicable rules. […]
A scientific article typically provides the first table presenting characteristics for the study population. The characteristics include for example frequencies for categorical variables, mean and standard deviations for continuous variables, p values etc. There should also include tables typically presenting results out of several statistical analyses. The ideal reproducible data analysis requires that the whole […]
Enrolment guidelines This is a specialised course. This means that 80% of the seats are reserved to PhD students enrolled at the Faculty of Health and Medical Sciences at UCPH and 20% og the seats are reserved to PhD students from other Danish Universities/faculties (except CBS). The course is free of charge for PhD students […]
Welcome to Data Science using R Description: In todays data-driven world, the ability to handle quantitative data systematically and reproducibly using reliable software is essential. This course, Data Science with R, is designed to introduce you to R, a powerful and free programming environment that has been a cornerstone of data analysis and statistical methodology for […]
Enrolment guidelines This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until […]
Welcome Methods of AI in Modern Data Management Systems Description: This course is at the intersection of AI and data system design. The basic idea is to learn where the application (!) of AI methods may benefit the design of specific components of a data management system. The students will learn about opportunities as well as […]
Get ready for a night of date science and beers at the upcoming DataBeers x Absalon. We’ve gathered leading speakers from academia, industry, non-governmental organisations, and government who will delve into topics that truly matter: the role of data science in urban inequalities, forced displacement, large language models, and more. It‘s going to be eye-opening! […]
Welcome to Introduction to Probabilistic Machine Learning Description: Machine learning (ML) and artificial intelligence have had major impacts on all areas of society and across research disciplines. Probabilistic ML provides a principled approach, based on probabilistic methods, to develop intelligent systems that make optimal decisions under uncertainty. Many problems in science can be casted as decision […]
Lille Kat is an inclusive programming event at the IT University of Copenhagen open to all students and faculty, regardless of field of study or coding experience. Participants work individually or in groups to solve a set of fun and challenging programming problems on Kattis, with tasks ranging from beginner friendly to advanced. The event […]
DTU and DDSA offer an in-person classroom of the CodeRefinery workshops for all students and staff at Danish universities. This free online CodeRefinery workshop is designed for researchers and students from all disciplines, who want to write software as part of their research. This workshop teaches essential tools which are usually skipped in academic education […]
DTU and DDSA offer an in-person classroom of the CodeRefinery workshops for all students and staff at Danish universities. This free online CodeRefinery workshop is designed for researchers and students from all disciplines, who want to write software as part of their research. This workshop teaches essential tools which are usually skipped in academic education […]
DTU and DDSA offer an in-person classroom of the CodeRefinery workshops for all students and staff at Danish universities. This free online CodeRefinery workshop is designed for researchers and students from all disciplines, who want to write software as part of their research. This workshop teaches essential tools which are usually skipped in academic education […]
Enrolment guidelines This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until […]
Welcome to Reinforcement Learning Description: An intelligent system is expected to generate policies autonomously to achieve a goal, which is mostly to maximize a given reward function. Reinforcement learning is a set of methods in machine learning that can produce such policies. To learn optimal actions in an environment that is not fully comprehensible to itself, […]
DTU and DDSA offer an in-person classroom of the CodeRefinery workshops for all students and staff at Danish universities. This free online CodeRefinery workshop is designed for researchers and students from all disciplines, who want to write software as part of their research. This workshop teaches essential tools which are usually skipped in academic education […]
DTU and DDSA offer an in-person classroom of the CodeRefinery workshops for all students and staff at Danish universities. This free online CodeRefinery workshop is designed for researchers and students from all disciplines, who want to write software as part of their research. This workshop teaches essential tools which are usually skipped in academic education […]
DTU and DDSA offer an in-person classroom of the CodeRefinery workshops for all students and staff at Danish universities. This free online CodeRefinery workshop is designed for researchers and students from all disciplines, who want to write software as part of their research. This workshop teaches essential tools which are usually skipped in academic education […]
I’m excited to invite you to our four workshop in our OMICS mini-series, where we’ll kick things off with R & the Tidyverse 🧬📊 The first session is all about getting comfortable with R and tidy tools for data manipulation and visualization — skills you’ll use again and again in the following workshops about bulk […]
Lille Kat is an inclusive programming event at the IT University of Copenhagen open to all students and faculty, regardless of field of study or coding experience. Participants work individually or in groups to solve a set of fun and challenging programming problems on Kattis, with tasks ranging from beginner friendly to advanced. The event […]
AI systems are rapidly moving from pilot projects to becoming a central part of organization infrastructure. They shape decisions, workflows, services, and strategic priorities—often in ways that can be difficult to fully predict. Ethical issues are therefore no longer confined to conference rooms or academic debates. They arise in communication strategies, procurement processes, data flows, […]
Lille Kat is an inclusive programming event at the IT University of Copenhagen open to all students and faculty, regardless of field of study or coding experience. Participants work individually or in groups to solve a set of fun and challenging programming problems on Kattis, with tasks ranging from beginner friendly to advanced. The event […]
Data visualization is the science and practice of encoding often large and complex datasets into visual representations to support their analysis and communication. Such a visualization can be worth more than a thousand words, as the saying goes -- but only if done right. Thus, the aim of this course is threefold in: conveying the […]
Learn about bioinformatics analysis of genomic, transcriptomic, and proteomic data. During this course, you will gain knowledge of the most essential databases and methods for molecular sequence and structure analysis. These years, computer based methods play a crucial role in molecular biology, microbiology, and personalised medicine. Huge international databases of sequence and structure contain information, […]
Together with universities in Denmark and Germany, the Danish Diabetes and Endocrine Academy is hosting a PhD course on Gut Biology, taking place on 20-23 April 2026 at Sinatur Hotel Gl. Avernæs in Denmark. We welcome all PhD students interested in the programme to apply. With the event, we aim to forge networks and collaborations […]
The Department of Mathematical Sciences invites students, faculty, and the public to join us for the Earth Day 2026 Event. The theme for this year is “Data Science for Climate Research”. The event is a day-long celebration of the importance and challenges of communicating climate change research to the public. The event is open to […]
This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific writing processes.Disclaimer: DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
I’m excited to invite you to our four workshop in our OMICS mini-series, where we’ll kick things off with R & the Tidyverse 🧬📊 The first session is all about getting comfortable with R and tidy tools for data manipulation and visualization — skills you’ll use again and again in the following workshops about bulk […]
Learn to analyse large data sets and train machine learning methods. Increasing amounts of data are being collected in the healthcare system from high throughput genomics, wearable devices, and electronic patient records. This course will provide you with the necessary data science skills required to analyse such large datasets. We will cover the various data […]
Join us for a day of science and networking at Arla’s head office! Together we will explore the topic of ultra-processed foods (UPFs) and navigate key questions – from what UPFs are and why processing matters to what current research suggests about potential health effects. Throughout the day, you will connect with scientists, researchers, clinicians, […]
CLINDA – Center for Clinical Data Science – is pleased to announce that the programme for the 2026 Spring Two Day Meeting is now available, and that registration is open. The two day event features talks within: 🔹 Biostatistics 🔹 Representation Learning 🔹 Bioinformatics 🔹 Privacy Enhancing Techniques We look forward to welcoming participants from […]
I’m excited to invite you to our four workshop in our OMICS mini-series, where we’ll kick things off with R & the Tidyverse 🧬📊 The first session is all about getting comfortable with R and tidy tools for data manipulation and visualization — skills you’ll use again and again in the following workshops about bulk […]
Join us for a two-day symposium that explores the critical interface between neuroscience and endocrinology! The program will examine the brain’s central role in regulating metabolic balance, with a particular focus on its influence on health and its implications in conditions such as obesity and type 2 diabetes. You will gain a deeper understanding of […]
The SMARTbiomed summer school in “Statistical Genetics, Causal Inference, and Machine Learning with Applications to Multi-omics and Clinical Prediction” is designed to introduce researchers to modern methods of computational and statistical analysis of complex data. The module content will focus on statistical genetics, causal inference, machine learning based approaches. Modules will motivate methods developments through […]
The 10th Conference on Econometric Models of Climate Change (EMCC-X) will be held at Aalborg University, Denmark, on August 20-21, 2026. The conference brings together economists, econometricians, climate scientists, statisticians, and policy researchers to improve our understanding of climate change, its impacts, and effective policy solutions. The EMCC conference series was established in 2016 and […]
DDSA is thrilled to announce the dates of D3A – Danish Digitization, Data Science and AI 4.0 – hosted by Danish Data Science Academy, Pioneer Centre for AI, and Digital Research Centre Denmark! On October 8 and 9, 2026, we are bringing together visionary researchers and leading professionals at Hotel Nyborg Strand to grow the […]