Login for PhD students at UCPH      Login for others
Data Science for non-Data Scientists
Provider: Faculty of Health and Medical Sciences

Activity no.: 3935-23-00-00 
Enrollment deadline: 20/07/2023
Date and time17.08.2023, at: 08:30 - 18.08.2023, at: 17:00
Regular seats26
Course fee3,240.00 kr.
LecturersThomas Jespersen
ECTS credits1.70
Contact personArnela Saljic    E-mail address: arnela@sund.ku.dk
Enrolment Handling/Course OrganiserPhD administration     E-mail address: phdkursus@sund.ku.dk

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 until enrollment deadline. After the enrollment deadline, available seats will be allocated to the waiting list.

The course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at NorDoc member universities. All other participants must pay the course fee.

Learning objectives
A student who has met the objectives of the course will be able to:
1. Understand the basic principles of data science, including machine learning techniques
2. Understand the prerequisites for data science, including machine learning
3. Identify aspects of own research with and without data science potential
4. Interpret critically studies that apply data science methods
5. Communicate fluently with data scientists

The aim of the course is to introduce key concepts of data science and machine learning to researchers with no prior knowledge of data science. Specifically, course participants will gain the basic understanding and vocabulary necessary to a) identify data science aspects of their own research, b) communicate with data scientists so that projects between the researcher and the data scientists can be collaborative, and c) critically interpret studies that employ data science or machine learning methods.

Key words: Diagnostics, machine learning, deep learning, epidemiology, data science

PhD students in health and medcial sciences with no or very little knowledge of data science. The course is designed with a cardiovascular focus

Relevance to graduate programmes
The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH:
- Cardiovascular Research
- Veterinary Clinical Sciences
- Pharmaceutical Sciences (Drug Research Academy)


Lecutres, hands-on and exercises.

Course director
Thomas Jespersen, Professor, Department of Biomedical Sciences, thojes@sund.ku.dk

Jonas Isaksen, PhD, Department of Biomedical Sciences, University of Copenhagen
Mads Schwarzfeldt, Senior Data Scientist, IBM Client Innovation Center
Oswin Krause, Assistant professor, DIKU
Michael A. Riegler, SimulaMet
Henning Bundgaard, Klinisk Professor. Institut for Klinisk Medicin
Claus Graff, Professor, Aalborg University

17-18th of August 2023

Course location
Panum Institute

Please register before 20th of July 2023

Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules.
Applications from other participants will be considered after the last day of enrolment.

Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

Click the search button to search Courses.

Course calendar
See which courses you can attend and when

New courses
Courses are published regularly. High demand courses are announced in spring and autumn.

Learn which courses are announced on fixed dates