General science and compulsory doctoral courses
On this page we present general science courses and other courses that certain doctoral students are obliged to take. the purpose is to provide an overview when choosing courses and when planning your individual study plan.
This description is based on the latest version of the general syllabus. As a doctoral student, you normally follow the general syllabus that was in effect at the time of your admission (unless, that is, you have switched to a later version); see your admission certificate or your Ladok extract for the date.
Courses marked with an asterisk (*) after the title meet the qualifying requirements for general science courses.
Of the general science courses, statistics and research ethics have been compulsory since 2009-07-01.
Courses in such subjects as theory of science, pedagogy, scientific writing and the quality assurance of clinical research (GCP, Good clinical practice) also count as general science (consult the general syllabus applicable to you to see what is appropriate for you). These courses are part of the elective component of the general science knowledge requirement.
Below are some examples of courses that are regularly held at KI and that are advertised in the course catalogue. There are also a number of courses held by the research schools, which can not be applied for through the course catalogue.
HEC is the abbreviation of Higher Education Credits (Hp in Swedish). They are compatible with the European Credit Transfer and Accumulation System (ECTS). See Higher education and academic credits in Sweden.
The normal frequency for each course is indicated with "VT" or "HT", where "VT" stands for spring semester and "HT" for autumn semester.
The aim of the statistics courses is to provide you, as a doctoral student, with a basic understanding of the subject and how statistics are used in medical research, or (with more advanced courses) to develop your knowledge of how to use statistics in your research area.
The courses can also help you to achieve the degree outcome for knowledge and understanding:
“Demonstrate familiarity with research methodology in general and the methods of the specific field of research in particular.”
KI also offers courses in the use of popular statistics programmes, such as Stata, SAS and R.
See the individual syllabi for information on which statistics programme the course uses.
If you have any queries concerning credit transfers from other statistics courses, your departmental director of studies can contact the course providers of the following courses for help assessing whether the minimum requirements are met.
Basic Statistics (no previous knowledge required)
3134 Basic Course in Medical Statistics*, 3 HEC, VT and HT
2609 Basic Course in Medical Statistics - a distance course*, 3 HEC, VT and HT
3154 Biostatistics I: Introduction for epidemiologists*, 3 HEC, HT
3042 Biostatistics I: Introduction for epidemiologists*, 2 HEC, VT
Courses 3134, 2609, 3154 and 3042 have similar content. Course 3154 and 3042, however, focus on epidemiological studies.
Intermediary and Advanced Statistics (with entry requirements)
2738 Intermediate Medical Statistics: Regression models*, 3 HEC, VT
Entry requirements: Basis Course in Medical Statistics, or the equivalent.
5314 Biostatistics II: Logistic regression for epidemiologists*, 1,5 HEC, HT
Entry requirements: Epidemiology I, Biostatistics I, or the equivalent.
3043 Biostatistics II: Logistic regression for epidemiologists*, 2 HEC, VT
Entry requirements: Epidemiology I, Biostatistics I, or the equivalent.
3142 Biostatistics III: Survival analysis for epidemiologists* (using Stata), 1,5 HEC, VT
Entry requirements: Epidemiology I, Biostatistics I, Biostatistics II, or the equivalent.
2992 Biostatistics III: Survival analysis for epidemiologists* (using R), 1,5 HEC, HT
Entry requirements: Epidemiology I, Biostatistics I, Biostatistics II, or the equivalent
Courses 5314 and 3043 have similar content. Course 3142 uses Stata statistics software while 2992 uses R. Otherwise, they have the similar content.
Note that the course catalogue contains several advanced statistics courses, which are primarily held under the doctoral programme in epidemiology, although they are also offered by the Medical Statistics Unit (MedStat, LIME).
Courses in statistics programmes
The following courses focus on the application of statistical methods using specific statistics software. Such programmes can be vital to your studies but do not count towards the course requirements for statistics or general science.
2971 Introduction to R - data management, analysis and graphical presentation, 2,5 HEC, VT and HT
2958 Introduction to R, 1,5 HEC, HT
2953 Statistics with R - from data to publication figure, 3 HEC, VT and HT
3143 Introductory course in SAS programming, 1,5 HEC, VT
2868 Advanced course in SAS programming for health care data, 1,5 HEC, HT
5315 Fundamentals of Stata Language, 1,5, HT
3028 Grundkurs i SPSS, 1,5 HEC, VT and HT
If you will be working with laboratory animals, you will also need the relevant education and training. See below under Compulsory knowledge for certain doctoral students.
The following doctoral courses in research ethics fulfil the course requirement stated in the general syllabus:
3118 Forskningsetik*, 1,5 HEC, VT and HT
In addition to these courses are complementary courses that can be of interest to you (if, for example, you are engaged in registry research).
If you are taking a course in research ethics at another university and want to transfer the credits, remember that it must meet KI’s own requirements. See Purpose and requirements for doctoral courses in research ethics.
To Communicate Science
Good skill in communicating one's research to different target groupsand in different contexts is of great importance to the success of the individual researcher, for the research community and for society in general.
The courses in scientific communication aim at facilitating for you as a doctoral student to achieve the degree outcome concerning skills and abilities:
"Demonstrate the ability in both national and international contexts to present and discuss research and research findings authoritatively in speech and writing and in dialogue with the academic community and society in general."
All docotoral students admitted from 1 January 2018 must be able to demonstrate at least 1.5 credits in communicating science. This includes courses in writing science / popular science, oral presentation of science and presentation techniques. These courses are counted as general science for doctoral students admitted before 1 January 2018.
Being good at communicating science requires constant training in writing and presenting as well as recurring feedback of, among others, the supervisors and other research group members.
Courses in oral scientific communication:
3147 To communicate science in different contexts with focus on oral and visual communication*, 3 HEC, VT and HT
2787 Present your research!*, 1,5 HEC, VT and HT
5231 Oral Presentation of Own Research*, 1,5 HEC, VT and HT
Courses in written scientific communication:
1391 Writing science and information literacy*, 3 HEC, VT and HT
2561 Writing science and information literacy* (online), 3 HEC, VT and HT
2618 Write your research results and get them published*, 3 HEC, VT and HT
2912 Manuscript writing in English*, 1,5 HEC, VT or HT
5227 Advanced Scientific Writing*, 1,5 hp, VT and HT
Laboratory animal science
If you are to use animals in your doctoral research, you are obliged to take the course in laboratory animal science.
See the Comparative Medicine website for further information on compulsory and other courses in laboratory animal science.
If you are to spend part of all of your study time in a laboratory and lack a basic education in laboratory safety, you must acquire the relevant knowledge equivalent to at least 1.5 credits. KI arranges the following course:
2690 Basic Laboratory Safety*, 1,8 HEC, VT and HT
If you wish to transfer credits earned from an equivalent education at another university, it must correspond to the above course. Directors of studies are advised to contact the course coordinator for guidance.
Quality assurance of clinical research
For doctoral students who conduct clinical research as defined by "research on living humans or research requiring the handling of sensitive personal data" and are admitted after 1 January 2018 it is compulsory to acquire knowledge of quality assurance of clinical research equivalent to at least 1 credit before halftime. For doctoral students as defined above, admitted by December 2017 and for doctoral students who conduct research solely on biological material from humans this is a recommended course, but not mandatory.
The following courses that meet the requirement can be found in the course catalogue:
5274 Introduktionskurs i kliniska studier: från idé till arkivering*, 1,5 HEC, (first course planned for HT21)
In addition, several of KI's clinical research schools organize courses of 1-1.5 credits in the subject that meet the requirement.
Human Biology or Pathology
If you are lacking a medical higher education, you are obliged to acquire the equivalent of 3 credits in human biology or pathology (or similar).
The following doctoral courses are held regularly at KI:
2644 Human physiology - an overview, 3 HEC, VT and HT
2827 Människans Fysiologi - en översikt, 3 HEC, VT and HT
5253 Human Physiology - distance course, 3 HEC, VT (first course offered spring 2021)
3109 Pathology, 3 HEC, VT and HT
The following course, offered in parallel with the Medicine programme, does also meet the requirements for those without a higher medical education:
3220 Basic Human Neuroscience, 10 HEC, VT and HT
Teaching and Learning
3181 Introduction to Teaching and Learning in Higher Education*, 1,5 HEC
If you are interested in a course in educational research, please contact the subject manager for research in Medical Education at LIME.
Philisophy of Science
3119 Vetenskapsteori*, 4,5 HEC, VT
2219 Bioinformatics for cell biologists*, 1,5 HEC, HT
5235 Basic Bioinformatics*, 2,5 HEC, VT/HT
Open science and reproducible research
2963 Open Science and Reproducible Research, 3 hp, VT and HT