Page 1 of 9
Course title | City | Start date | Credits |
---|---|---|---|
Introduction to applied statistics and R for PhD students | Kgs. Lyngby | - | 5 ECTS |
DTU Department of Informatics and Mathematical Modeling
General course objectives:Make the participants able to perform a standard statistical analysis of their own data and relate the results to the practical application. The participants will be able to carry out statistical analyses using the statistical pa |
|||
Statistical methods for SCIENCE (SmS) | København Ø | October 2025 | 2,5 ECTS |
PhD School at the Faculty of SCIENCE at University of Copenhagen
ContentToolbox course on statistical methodology with focus on choice of statistical models, practical implementation using statistical software, and presentation and interpretation of results. For the practical implementation, we use the state-of-the app |
|||
Introduction to econometrics for Innovation and Entrepreneur... | Kgs. Lyngby | - | 3 ECTS |
DTU Centre for Technology Entrepreneurship
General course objectives:The course aims at providing a basic understanding of econometric analysis using a hands-on approach.Learning objectives:A student who has met the objectives of the course will be able to:Apply a range of statistical tools using |
|||
Advanced Statistical Topics in Health Research | October 2025 | 3,5 ECTS | |
Graduate School of Health and Medical Sciences at University of Copenhagen
Aim and contentThis 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 w |
|||
Methods for Statistical Evaluation of AI | Nyborg | August 2025 | 2,5 ECTS |
PhD School at the Faculty of SCIENCE at University of Copenhagen
Aim and contentThe 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 da |
|||
Data Science Projects (generic course) | September 2025 | 4 ECTS | |
PhD School at the Faculty of SCIENCE at University of Copenhagen
ContentData Science covers both Machine Learning and Statistics. This generic course provides a platform to develop and work on projects with the student’s own data using either Machine Learning methods, Statistical data analysis, or possibly a combinatio |
|||
Bayesian Statistics, Simulation and Software 2025 | Aalborg | November 2025 | 5 ECTS |
Doctoral School of Engineering and Science at Aalborg University
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 stocha |
|||
Statistical Thermodynamics for Chemical Engineering | Kgs. Lyngby | - | 5 ECTS |
DTU Department of Chemical and Biochemical Engineering
General course objectives:The goal of this course is the direct theoretical calculation of physical (bulk, macroscopic) properties based on first-principles, statistical mechanics considerations. The course will enable students to derive equations (of sta |
|||
Advanced Topics in Data Analysis | May 2025 | 5 ECTS | |
Graduate School of Health and Medical Sciences at University of Copenhagen
Aim and contentThis 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 w |
|||
Fundamentals of the PhD education at SCIENCE - module 2 - k... | Frederiksberg C | August 2025 | 2,5 ECTS |
PhD School at the Faculty of SCIENCE at University of Copenhagen
Aim and contentThe purpose of the module is to introduce the students into Data Science, Data Management, and Career Management:• Many students will apply/develop Data Science methods (data analysis, statistics, and machine learning) directly in their own |