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.
Objectives of the course The objectives are to give the students a thorough understanding of antimicrobials and antimicrobial resistance, the significance of AMR in a one-health perspective, surveillance programs, and to give a practical training of measurement of AMR Learning outcomes and competences After the course, the student will Know what antimicrobials are, including classes, […]
The Nordic Logic Summer School 2026 (NLSS 2026) is co-located with the Scandinavian Logic Symposium and will take place at DTU Skylab, Lyngby, Denmark, from August 17 to August 20, 2026. The school provides advanced courses in logic for graduate students and early-career researchers in artificial intelligence, data science, computer science, and mathematical logic (also […]
The course is designed to strengthen participants’ understanding of R as a programming language and to support the development of efficient, reproducible, and well-structured code. The focus is on programming skills, workflow management, and the use of tools and packages that streamline coding and reporting. The course does NOT cover statistical methods. Disclaimer:DDSA has explicit […]
Welcome to AI for Network Sciences: From understanding data to reliable deployment in wireless communications Description: Modern AI applications face novel challenges, particularly in network sciences, where ML algorithms must handle data from diverse sources, respect data privacy constraints, and optimize the learning process across multiple agents. Offering valid statistical conclusions by learning from unreliable data […]
CWAI AI Meetups is a meetup series focused on practical and real-world applications of AI. The series brings together people from industry, startups, research, and academia to share implementation experiences, technical insights, and lessons learned from working with modern AI systems. In this second meetup, we will explore Agentic AI in Enterprise: From AI Pilots […]
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 […]
This course will give a thorough introduction to small-angle x-ray and neutron scattering (SAXS and SANS). The course will cover data collection and basic instrumentation, but the main focus will be on the analysis of data. This will be facilitated by a range of international lectures, which are all experts in small-angle scattering. Confirmed guest […]
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 objectivesThe learning outcomes for the segments […]
Enrolment guidelines This is a specialised course where 50% of the seats are reserved to PhD students enrolled at the Faculty of SCIENCE at UCPH and 50% of the seats are reserved to other applicants. Seats will be allocated on a first-come, first-served basis and according to the applicable rules.Anyone can apply for the course, […]
A five-day PhD course on tensor networks for machine learning, combining lectures, tutorials, exercises, presentations, and project work. Participants will explore theoretical foundations, practical programming aspects, and applications of tensor methods in areas such as life science data, reinforcement learning, deep learning, probabilistic circuits, and information geometry. The course is free to attend for M.Sc. […]
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% of the seats are reserved to PhD students from other Danish Universities/faculties (except CBS).The course is free of charge for PhD students at […]
Enrolment guidelines 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 be placed […]
To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applications; the ability to challenge existing knowledge and develop new ideas using AI. Disclaimer:DDSA has explicit permission from […]
The course provides the students with basic skills using the most common, simple statistical models and analyzes in medical research. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
Over the last five to ten years machine learning (ML) methods has gained widespread use with both sports and health data. ML methods can be used with both accelerometry or heart rate data for health or sports purposes or for simple clinical studies to find important patterns in the data. The possibilities seem almost endless. […]
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 […]
The aim of the course is to introduce the student to the basic use of the programming language Python. The course is designed to build up the basic skills in Python necessary for attending the course Basic Data Science in Python. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website 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.
The student is introduced to the basic statistical techniques applied to biological and medical examples. Topics covered are: Descriptive statistics, data types, elementary probability concepts, statistical distributions, comparison of two samples by parametric and nonparametric methods, t-tests, paired observations, basic design of experiments, basic analysis of frequency data, linear and multiple regression, analysis of variance. […]
Objectives of the course: This course is aimed at a growing cohort of postgraduate data scientists and biologists who use automated methods to study insects (and other arthropods) in their research. Participants will be introduced to the state-of-the-art when it comes to automated monitoring of insects, including various modes of image acquisition, their strengths and […]
Enrolment guidelines JOURNALEN: ALLE SKAL PÅ VENTELISTEN, OG I BEHØVER IKKE TJEKKE. PAMELA OG JESPER SORTER, TJEKKER OG TILMELDER LØBENDE”Special rules apply for this course”This course is ONLY for PhD students enrolled at SCIENCE in the second or last year of their PhD Plan. All other applicants will get a rejection. When submitting a paper […]
To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applications; the ability to challenge existing knowledge and develop new ideas using AI. Disclaimer:DDSA has explicit permission from […]
CS2Nordics 2026 is the first plenary meeting of Nordic Society for Computational Social Science (NoSoCSS). It is a venue for the members of the Society to meet, present their research, and create new collaborations. Computational Social Scientists from the global community are also very welcome to attend and share their work. The conference welcomes work […]
Enrolment guidelines 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 be placed […]
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% of the seats are reserved to PhD students from other Danish Universities/faculties (except CBS). The course is free of charge for PhD students […]
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 […]
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% of the seats are reserved to PhD students from other Danish Universities/faculties (except CBS).The course is free of charge for PhD students at […]
The aim of the course is to introduce the PhD student to basic tasks, methods and evaluation procedures in data science, using Python and its libraries and environments. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
“This must be the place” to hear about the latest and greatest in the expanding field of health data science. The mission of the Center for Health Data Science is to not only strengthen health data science within the Faculty of Health and Medical Sciences (SUND) at the University of Copenhagen, but to serve as […]
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 and academic writing process. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
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 and academic writing process. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
The course provides an introduction to more advanced statistical models and analyzes in medical research. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
Enrolment guidelines 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 be placed […]
This invited workshop brings together internationally renowned scientists and junior participants working with AI in healthcare, with a particular focus on mental health. It addresses the development and evaluation of responsible and trustworthy AI in this rapidly emerging field, highlighting both technical advances and their clinical and ethical implications, and emphasizing the need for close […]
This course provides students, researchers, and PhD candidates with a foundational introduction to coding in R. Over three days, participants will be guided through six modules of 3–4 hours each, combining short lectures with hands-on exercises and instructor support. The first two days consist of in-class lectures and exercises, where the last day is a […]
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 […]
Vartus Group is pleased to invite you to attend AIBDA 2026, the 2nd International Conference on Artificial Intelligence and Big Data Analytics, taking place on October 15-16, 2026 in Singapore City, Singapore. Organized as a hybrid event, the conference will gather AI researchers, data scientists, technology leaders, and academic experts to delve into transformative advancements […]
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 and academic writing process. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
Welcome to Human-Centered AI 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 […]
Omics technologies—genomics, transcriptomics, epigenetics, proteomics, and metabolomics — are crucial for bridging basic research with clinical application. This PhD course emphasizes translational clinical science and big data analysis, combining theoretical insights with practical training. Students will learn to design ethical approved clinical studies and apply advanced bioinformatics to analyze complex omics data with clinical data. […]
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 and academic writing process. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
Welcome to Visual Communication of Research through Video and Images Description: This course equips PhD researchers from all disciplines with the foundational skills to plan, capture, and edit compelling visual narratives of their work, addressing the growing expectation from journals and conferences for video and image-based explanations of dynamic systems and complex results. Through a blend of […]
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: How to implement validity and reliability in qualitative studies. How to implement Mixed Methods. How to analyze and […]
Enrolment guidelines This is a toolbox course where 80% of the seats are reserved for PhD students enrolled at the Faculty of SCIENCE at UCPH and 20% of the seats are reserved for 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 […]
To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applications; the ability to challenge existing knowledge and develop new ideas using AI. Disclaimer:DDSA has explicit permission from […]
Welcome to Music Therapy Research - November 2026 Description: The goal of the PhD course in Music Therapy research is to train doctoral students with theoretical, technical, methodological, and applied clinical research knowledge in the field of music therapy and music psychology research in a way that assures scientific rigor. The 5 ECTS biannual courses includes […]
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 objectivesThe learning outcomes for the segments […]
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 […]
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 model parameters in form of a prior […]
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 and academic writing process. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
