Curriculum
The curriculum of the IPHS allows students to individually tailor a course program to fit their particular educational background and their specific research interests. The formal coursework is required for the completion of the dissertation and encompass a minimum of four hours per week and term over four terms.
The attended courses should be choosen by the students and should be documented on the IPHS attendance forms.
The courses which the candidates have to take comprise both mandatory and elective modules. The latter may involve a large number of subject areas.
You can find a selection of courses for your mandatory modules and further offers here.
Mandatory Modules
Lectures, seminars, exercises, lab courses and other activities in the following areas:
- Seminars on Project Development (e.g. 3x Tutor-Meetings)
- Medical Statistics (see below for the Statistic Workshop lectured in English)
- Research Ethics and Theory of Science (see below)
- Working and Publishing in Science / Science Communication / Good Scientific Practice (see below)
Elective Modules
Lectures, seminars, exercises, lab courses and other activities in the following areas:
- Evidence-based Medicine / Evaluations related to Health Economics
- Healthcare System and Society
- Translational Research
- Health Services Research
- Human Biology
- Pathology, Pharmacology
- Biochemistry and Molecular Biology
- Chemistry
- Physics
- Empirical Social Research
- Medical & Social Diversity
- Mathematical & Statistical Modeling
- Images of Man in Research
- Psychology / Psychiatry
Attendance forms
Please list all attended course on your attendance sheets.
Lectures, Workshops and Seminars:
Lectures, courses and seminars of the University of Cologne
An overview of all lectures, courses and seminars of the University of Cologne can be seen in KLIPS 2.0: Anmelden - KLIPS 2.0 - Universität zu Köln (uni-koeln.de) (Faculty -> Faculty of Medicine -> Division -> Courses)
Some of these lectures and seminars might be of interest (according to your project) for postgraduates of the Interdisciplinary Program Health Sciences at the University of Cologne.
Guest Speaker seminars
Good Scientific Practice
The next workshop on Good Scientific Practice lectured in English by Prof. Dr. Nicole Skoetz will take on the following dates:
1. Tuesday 17.06.25, 09:15-11:15 (2 hrs) in the Forum (MEK-Forum, Joseph-Stelzmann-Str. 20, 50931 Köln)
2. Wednesday 18.06.25, 09:15-11:15 (2 hrs) in the Forum (MEK-Forum, Joseph-Stelzmann-Str. 20, 50931 Köln)
Course Language: English
Please note, both dates are mandatory to complete the module (you will receive a participation certificate). Please register here.
Research Ethics and Theory of Science
The next workshop on "Research Ethics and Theory of Science" lectured by Dr. Christian Hick (Institute for the History and Ethics of Medicine) will take place on the following dates:
1. Research ethics I: Human subject research (Tuesday 08.07.25, 15:00-16:30)
2. Research ethics II: Animal research (Wednesday 09.07.25, 15:00-16:30)
3. Theory of science: Science, pseudoscience & scientific progress (Thursday 10.07.25, 15:00-16:30)
Please note, all three dates are mandatory to complete the module (you will receive a participation certificate).
This workshop will again take place as digital video conference via Zoom (the Zoom Link will be send to you by separate E-Mail few days in advance of the workshop).
Course Language: English
Please register here: Workshop Registration (deadline for registration 01.07.25).
Statistics Workshops
The next workshop on Statistics with the Software "R" lectured in English by Prof. Dr. A. Tresch will take place each Thursday (lecture: 10-12 am / practical course: 1-3 pm) on the following 6 dates:
next dates tbd (it will take place in Nov&Dec 2025. The dates will be announced in due time).
Please note, five out of six dates are mandatory to complete the module (you will receive a participation certificate).
Below you will find further details of this year's statistics workshop. Please note the "Prior Knowledge" part.
Learning Competencies
This workshop teaches the basics of data analysis using the programming language R on RStudio Server Pro. You will learn to apply statistics to high-dimensional, biological data. You will acquire a repertoire of computer-based methods for supervised and unsupervised learning tasks and estimation problems as they occur in life science data. You will become aware of the peculiarities of high-dimensional statistics and large data sets (e.g. curse of dimensionality and multiple testing) and will learn to critically assess third-party analyses.
Contents
Data description, Hypothesis testing, Clustering, Dimensionality reduction, Data visualization, Regression and linear models, Classification, Cross Validation and Bootstrapping, Feature selection, Reproducibility.
Prior Knowledge
A solid understanding of the basic statistics taught in foundation courses is required. Experience with the R programming language in particular is not necessary, but rudimentary knowledge of programming is. This workshop focuses on the application of statistical methods and not programming. Skills in other scripting languages, like Python for example, can be easily transferred to R.
The workshop makes use of an RStudio Server Pro instance. VPN access to the UKLAN and a current web browser is required.
For further lectures and courses offered by the Institute for Medical Statistics and Bioinformatics please click here.
Working and Publishing in Science / Science Communication
You can find a selection of courses for your mandatory module "Working and Publishing in Science / Science Communication" and further offers here.
Funding Opportunities for PostDocs
next date tbd (you can also contact Dr. Simona Walker directly for a personal counseling hour).
Course Language: English.
Target group: Late-stage PhD students.
Workshop concept: During the workshop you will get an overview of the most common funding opportunities for PostDocs including postdoctoral fellowships, research stays abroad and funding for independent junior research groups. You will learn to identify funding opportunities that suit your project idea and personal situation. There will be room for discussion during the Q&A session and after the workshop (optional 10-minute one-to-one sessions). You are encouraged to bring your questions to the workshop.
Trainer: Dr. Simona Walker has been working at the Dean’s Office and the Vice Dean’s Office of Science - Translation - Transfer of the Medical Faculty since 2020. She advises scientists of the Medical Faculty at all career levels in applying for third-party funding from all funding agencies in the field of basic science. She supports the search for suitable funding opportunities, advises on formal requirements and gives feedback on funding proposals.