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.
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 […]
The A2S2 Seasonal School provides a technically grounded introduction to AI alignment, safety and security, focusing on the whys and hows of making AI systems robust, appropriate, and aligned with human or application goals. While mental health is used as one motivating high-stakes application, the methods, concepts and evaluation frameworks generalize to a wide range […]
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 […]
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 […]
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 […]
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 […]
Driven by the technological progress, biology continuously undergoes a revolution that started in the late 1990s with the sequencing of the human genome. This revolution is on a scale that constantly redefines our basic understanding of biology and reaches deep into human and animal science, for example with respect to diseases and nutrition. Understanding the […]
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 […]
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 […]
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, […]
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 […]
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 […]