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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Infection Microbiology: Antimicrobial Resistance and Molecular Typing

Aim and contentSeats for this course are 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 enrollment deadline. After the enrolment deadline, […]

Bayesian Hierarchical Modelling 2025

Objectives of the course: The PhD students will be introduced to Bayesian hierarchical modelling, which are becoming increasingly popular for fitting ecological, environmental, and human disease models to temporal and spatial data. The aim of the course is to introduce the students to i) the applied use of likelihood functions and Bayesian statistics, ii) setting […]

The return of reproducible research – proper statistical methods 2025

Description: There is a long history of the application of statistical methods on collected data (for example data from experiments). The current replication crisis in science is evidence that sometimes (maybe even often) statistical methods are used wrongly or their results misinterpreted. In this course we give a coherent introduction to statistical analyses and their interpretation […]

International School of Chemometrics 2025 – PROGRAMMING

Aim and content Four week school designed to introduce different key aspects of Data Science and Machine Learning in different branches of science (chemistry, food & feed, physics, environmental, political economics, etc). The course has the following modules: 1) PROGRAMMING - Introduction to Programming for Multivariate data analysis in Matlab, Python and R This online […]

Machine Learning for SCIENCE (MLS)

Aim and content The course will take place over five consecutive Tuesdays, starting Apr. 29, 2025 (i.e. April 29. May 6, May 13, May 20, May 27). The Machine Learning for SCIENCE (MLS) course introduces key analysis methods in Machine Learning. These methods allow investigations of scientific data from most fields, including data from physical […]

Introduction to research data management for PhD students

Date and time:  30 April 2025 from 9:00 to 16:00. Target group This course is exclusively for PhD students at University of Copenhagen. Academic Aim The purpose of this course is to introduce PhD students from the humanities to the basics of research data management, how to comply with the UCPH Data Management Policy, and how to […]

Method comparison reliability and agreement (2025)

Welcome to Method comparison reliability and agreement 2025 Program: BEN (also relevant for B, CPM, CSLTM, HES) Description: The course will focus on the importance of method comparison studies when evaluating new clinical and experimental methods. The course will describe how method comparison studies are designed and how obtained results are analysed and described. Application of analytical […]

Bayesian models of mind, brain and behavior

Aim and content 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 […]

Computational Research Methods

# Computational Research Methods, a PhD Course at Copenhagen Business School. ## Course Description This course is designed for doctoral students who are interested in applying computational research methods to social science research. The overarching objectives of the course are to (1) familiarize students with key concepts in the field of computational social science, and […]

kr.4550

Radio Simulation Techniques

Welcome to Radio Simulation Techniques Description:  Due to the increasing complexity of radio systems, the use of advanced simulations is becoming one of the preferred methodologies for realistic performance assessments. In line with this statement, the leading industrial standardization forum for cellular systems – the Third-Generation Partnership Program (3GPP) – also relies heavily on advanced simulations […]

Introduction to Complex Systems Approaches in Public Health

Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will […]

Estimating Causal Effects with Observational Data

Aim and content Researchers are usually interested in investigating causal relationships, i.e., how one thing affects another thing. While the analysis of causal relationships is easiest when using experimental data, in several research areas (e.g., social sciences) experiments are not always feasible, and when they are feasible, they may suffer from important limitations. As a […]

Resampling Techniques in Statistics and Data Analysis

AAU INNOVATE Thomas Manns Vej 25, Aalborg, Denmark

In recent years, the increasing role of computational methods has significantly influenced statistical practice. Resampling techniques have become essential tools for constructing inferential procedures. These inferential procedures usually consist of constructing confidence intervals, estimating standard errors, performing hypothesis tests, generating prediction regions, and selecting regression models. A key challenge in many of these tasks is […]

International School of Chemometrics 2025 – DL -Non-Linear Modeling/Deep Learning

Aim and content Four week school designed to introduce different key aspects of Data Science and Machine Learning in different branches of science (chemistry, food & feed, physics, environmental, political economics, etc). The course has the following modules: 1) PROGRAMMING - Introduction to Programming for Multivariate data analysis in Matlab, Python and R This online […]

International School of Chemometrics 2025 – Metabolomics

Aim and content Four week school designed to introduce different key aspects of Data Science and Machine Learning in different branches of science (chemistry, food & feed, physics, environmental, political economics, etc). The course has the following modules: 1) PROGRAMMING - Introduction to Programming for Multivariate data analysis in Matlab, Python and R This online […]

Advanced Topics in Data Analysis

Aim and content 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 […]

Bioinformatics for Microbiology

Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will […]

Distributed Data Processing with Dataflow Systems (2025)

Description: In today’s world, data is at the heart of decision-making processes across various domains. Dataflow is a programming paradigm and execution model that underpins many modern distributed data processing systems. In this model, developers create programs by defining sequences of functional transformations on input data. The system runtime then manages the execution of these programs […]

Development and implementation of machine learning models for dynamic risk prediction models in health care applications

Welcome to Development and implementation of machine learning models for dynamic risk prediction models in health care applications PhD Programme: Epidemiology and Biostatistics Description: Traditional risk prediction generates a risk estimate at a defined timepoint a patient’s trajectory, for example the risk of death within 30 days following a surgical procedure. In contrast, dynamic risk prediction enables […]

Urban Data Management Representation and Mining 2025

Description: Urban computing is an emerging field that aims to address the challenges of rapid urbanization, such as pollution, energy consumption, and traffic congestion. Urban computing involves acquiring, integrating, and analyzing large and heterogeneous data generated by a variety of sources in urban spaces, including sensors, devices, vehicles, buildings, and people, to tackle major urban challenges. […]

Convex Optimization Game Theory and Machine Learning for Upcoming 6G Networks

Welcome to Convex Optimization, Game Theory, and Machine Learning for Upcoming 6G Networks Description: Nowadays, wireless networks have faced an explosive growth of data traffic because of the dramatic increase in the use of mobile devices and, consequently, data-greedy and delay-sensitive applications. Furthermore, bringing everyone and everything unconnected to the connected world is crucial. Thus, researchers […]

Introduction to Nutritional Metabolomics

Department of Nutrition Exercise and Sports

Aim and content The aim of this course is to introduce the students to all phases in a nutritional metabolomics study, to instruct the students on sample handling, and to train the student in data analysis and in the use of freely available tools for the metabolomics data flow. The course will provide a general […]

PhD School on Intersections of Algorithms and Machine Learning Theory

Syddansk Universitet, Odense Campusvej 55, Odense M, Danmark, Denmark

The PhD School on Intersections of Algorithms and Machine Learning Theory will take place at the University of Southern Denmark, Campus Odense, from July 1 to 4, 2025. The speakers will be Paul Dütting, Roi Livni, Nicole Megow, and Sahil Singla. They will cover the topics Prophet Inequalities, Foundations of Machine Learning, Algorithms with Predictions, […]

Quantitative Sustainability Assessment

Aim and content The course is designed to equip students with the necessary tools to reflect upon and quantify sustainability performance, a crucial component in research, policymaking, corporate decision making, and reporting. It focuses on introducing the fundamental principles of quantitative sustainability assessment of various production systems, including dynamic carbon modelling and utilizing unexplored side […]

The social side of robots and AI. Exploring video-based method for the analysis of interaction with robots and artificial intelligence

Welcome to The social side of robots and AI. Exploring video-based method for the analysis of interaction with robots and artificial intelligence  This PhD course prepares students to explore video-based methods for the analysis and design of people’s interactions with robots or artificial intelligence (AI) in social settings. Social and collaborative robots as well as […]

Methods for Statistical Evaluation of AI

Aim and content The aim of course is to equip the participants with statistical methods, and knowledge of the newest research within statistical methods, for evaluation of machine learning and AI. The course runs as a summer school, retreat for five full days. As preparation, the students prepare a poster framing their own research in […]

Small-angle scattering: Principles, data analysis and advanced modeling 2025 – 2.5 ECTS

Aim and content This 2.5 ECTS course introduces small-angle scattering using X-rays (SAXS) and neutrons (SANS) for structural investigations. The course will have a strong hands-on approach, combining lectures, simulations, walked-through analysis examples and actual experiments. For the latter, we will use one of the three SAXS machines at University of Copenhagen. Passing the course […]

Quantitative Bias Analysis for Epidemiologic Research

Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will […]

Design and Query Processing in Specialized Data Management Systems

Welcome to Design and Query Processing in Specialized Data Management Systems Description: Relational Database Management Systems have been applied in many different domains and build the foundation of every larger software application stack. However, highly specific applications and use cases often require more tailored systems along with a non-relational data model and use-case specific query language. […]

Ethnography in health care sciences

Welcome to Ethnography in health care sciences PhD Programme: Health Care, Health Promotion and Organizations (HCHPO) Description: Ethnographic research has become increasingly popular in health care sciences. This course provides a solid methodological foundation for using ethnographic research to understand real-world issues in context. Attention will be paid to how ethnographic strategies can be deployed in health […]

Clinical cancer research – from laboratory to bedside

Welcome to clinical cancer research – from laboratory to bedside Program: B Description: This PhD course is offered by the Doctoral School of Medicine, Biomedical Science and Technology, Aalborg University and Clinical Cancer Research Center, Aalborg University Hospital This PhD course is aimed at PhD students working within the field of translational and clinical cancer research. […]

Benchmarking and Productivity Analyses – with economic applications and hands-on activities

Faculty Professor Peter Bogetoft Department of Economics, CBS Prerequisites A basic knowledge of quantitative methods and statistics is required; however, the course will revisit and refresh participants’ prior knowledge as needed. The focus will be on practical applications in research and consultancy, with training in the use of open-source software such as R. Participants are […]

System Dynamics for Modeling Complex Systems 2025

Welcome to System Dynamics for Modeling Complex Systems 2025 Description: Systems are getting increasingly complex every day and their interdependency is considerably growing. Therefore, effective modeling approaches are required to improve our understanding of their behavior and investigate the long-term consequences of our decisions. System dynamics (SD) is a powerful modeling tool to understand and analyze the […]

Advanced Statistical Topics in Health Research

Aim and content 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 […]

Human Centered Artificial Intelligence

Description:  Artificial Intelligence has experienced a tremendous increase in attention in recent years across all sectors, including health, transportation, finance, construction, and entertainment. In the realm of software engineering, integrating AI in a human-centered manner is crucial for ensuring that these technologies enhance human capabilities and maintain ethical integrity. Ben Shneiderman envisions "computing devices that […]

Fundamentals of Drug Utilization Research using Healthcare Registers

Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will […]

Bayesian Statistics, Simulation and Software 2025

Welcome to Bayesian Statistics Simulation and Software (2025) Description: During the last decades, Bayesian statistics has gained enormous popularity as an elegant and powerful computational tool to perform statistical analysis in complex stochastic models as applied in engineering, science and medicine. Bayesian statistics offers an alternative approach to traditional data analysis by including prior knowledge about the […]

Advanced Qualitative Methods (2025)

Welcome to Advanced Qualitative Methods for User and Consumer Research 2025 Description: This course will outline theory and practice of qualitative research. The entire course will have a very applied approach towards qualitative studies. A variety of methodological approaches will be introduced and a special focus will be within: 1. How to implement validity and reliability in […]