Events Calendar

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.


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  • EurIPS Copenhagen 2025

    Bella Center Copenhagen Bella Center Copenhagen, Center Boulevard 5, Copenhagen, Denmark

    About EurIPS EurIPS is a community-driven conference that makes world-class AI research accessible to Europe by showcasing papers accepted at NeurIPS, the most prestigious AI conference globally. By bringing together researchers, industry leaders, and innovators, EurIPS creates a unique networking hub that connects academic breakthroughs with real-world applications, reducing the need for transcontinental travel. The conference […]

  • 4th symposium on the advances in biomedical engineering and neuroscience (2025)

    Welcome to 4th symposium on the advances in biomedical engineering and neuroscience Program: BEN ***mandatory course*** Description: The course has a focus on disseminating the most relevant and recent achievements within biomedical and engineering science to address relevant health care problems. This course will be organized annually and will include a series of lectures from internationally recognized […]

  • Stakeholder Perspective on Welfare Breeding (Cattle and small-ruminants)

    Aarhus Institute of Advanced Studies (AIAS) Høegh-Guldbergs Gade 6B, Aarhus, Denmark

    This workshop will involve presenting the joint academic vision on welfare breeding from past workshops to industry stakeholders, with a focus on how to bridge the gap between fields in practice. Due to key differences between industries, discussions have been divided into monogastric (swine and poultry) and ruminant species. Individuals from breeding companies, research institutes, […]

    Free
  • Responsible Conduct of Research 1: An Introduction

    Enrolment guidelines b> ”Special rules apply for this course” This course is only intended for PhD students enrolled at SUND and authors (§15.2) with permission to hand in a PhD thesis without prior enrolment at the Graduate School of Health and Medical Sciences at the University of Copenhagen. PhD students from other faculties and other […]

  • One day introduction to REDCap (online)

    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 […]

  • Responsible Conduct of Research 1: An Introduction

    Enrolment guidelines b> ”Special rules apply for this course” This course is only intended for PhD students enrolled at SUND and authors (§15.2) with permission to hand in a PhD thesis without prior enrolment at the Graduate School of Health and Medical Sciences at the University of Copenhagen. PhD students from other faculties and other […]

  • Applied AI Lunch Talks at DTU Skylab & Online

    DTU Skylab Diplomvej 373D, Kongens Lyngby, Denmark

    For this last Applied AI Lunch Talk session before Christmas, we meet up in DTU Skylab's Auditorium (Centrifugevej 373D, 2800 Kongens Lyngby) or online. You can bring your own lunch (or buy it before the talk at the Skylab cafe). Or you can sign up to receive the link for the online live-streaming: https://dtu.events/appliedailunchtalks/signup Talk: […]

  • Advanced Econometrics and Data Science

    Faculty Professor Ralf A. Wilke Department of Economics, CBS Prerequisites Estimation of and Inference for the multiple regression model (OLS, 2SLS, LPM, F-,t-,LR-,Wald-, LM-tests), Maximum Likelihood Estimation, Regression with Binary Dependent Variable, Matrix Algebra, Basic concepts of asymptotic theory (consistency and asymptotic normality). The course is compulsory for the PhD students of Copenhagen Business School’s […]

  • Python for SCIENCE

    Enrolment guidelines This is a toolbox course where 80% of the seats are reserved to PhD students enrolled at the Faculty of SCIENCE at UCPH and 20% og the seats are reserved to PhD students from other Danish Universities/faculties (except CBS). Anyone can apply for the course, but if you are not a PhD student […]

  • Generative AI in the PhD process

    Welcome to Generative AI in the PhD process Generative artificial intelligence (GAI) is becoming ingrained in research processes to an ever-evolving degree. Recently, GAI has recently become both the object for increased research, used as a research method, e.g. in the form of AI-assisted qualitative data analysis, and as a writing aid in the preparation of […]

  • Fundamentals of the PhD education at SCIENCE – module 2 -K8

    Enrolment guidelines The module is mandatory for all new PhD students enrolled at Science from 1 January 2024 as part of the course 'Fundamentals of the PhD education at SCIENCE'. If you are a double degree student with a foreign host, you can not enroll in this course. Learning objectives The learning outcomes for the […]

  • Mathematical Kaleidoscope III (2026)

    Welcome to Mathematical Kaleidoscope III (2026) The five subjects to be covered by the course are described below. 1. J. Eduardo Vera-Valdés: Missing data and multiple imputation methods. 2. Charisios Grivas: Resampling techniques in Statistics and Data science. 3. Claus Dethlefsen: Trends in Pharmaceutical Statistics for Regulatory Submissions. 4. Matteo Bonini: Error correcting codes and their cryptographic applications […]

  • Qualitative Research Methods

    Aim Qualitative methods offer to gain new insights into exploring what motivates individual understanding and behavior. As part of the course students will be introduced to grounded theory (coding) --a widely used systematic analysis of qualitative data. Grounded theory provides structured approach (through coding) to identify deep-seated influential themes and shared socio-cultural (mental) models and […]

  • Large-Scale Data Analysis with R: Transcriptomics and Metabolomics

    Enrolment guidelines This is a toolbox course where 80% of the seats are reserved to PhD students enrolled at the Faculty of SCIENCE at UCPH and 20% of the seats are reserved to PhD students from other Danish Universities/faculties (except CBS). Seats will be allocated on a first-come, first-served basis and according to the applicable […]

  • Bioinformatics

    DTU Building 303A aud. 42, DTU Lyngby Campus, Lyngby, Denmark

    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, […]

  • Data Science

    Aarhus University Aarhus C

    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 […]

  • D3A 4.0 – Danish Digitization, Data Science and AI 4.0

    Hotel Nyborg Strand Østerøvej 2, Nyborg, Denmark

    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 […]