Corona virus and distance education
As of March 18, Lund University has switched to distance education, following the Government's recommendations (17 March), due to the rapid spread of the new corona virus.
To facilitate this transition, the Swedish Higher Education Authority (UKÄ) has changed its regulations to allow urgent, necessary changes to course syllabi and examination forms.
At the Faculty of Science, the Department of Mathematics, all courses are conducted remotely and all campus-based written examination scheduled in March and April have been replaced with other examination forms. Current course information is published on each course's website in Canvas.
All students admitted to a certain course as well as e-registered students automatically gain access to the course website in Canvas. Students admitted unconditionally to a course given during the second half of the spring semester should be able to self-register for the course in Ladok until Tuesday 31 March. Students wishing to be re-registered may contact the study administrator.
For questions about a specific course or general questions about the education, you can contact the course lecturer respectively the director of studies.
The Mathematics Center's premises will not close and can be used by students. Libraries and study places are open but you may need to use your access card to enter the premises.
If you as a student have other questions regarding how the university handles the corona situation, you are welcome to contact firstname.lastname@example.org.
Application for Courses, Autumn 2020
Due to the flexible structure of the programme, students must apply for the courses that they wish to study each semester. The application is done via antagning.se (the Swedish version of universityadmissions.se). Programme students are guaranteed admission to all courses given by the Faculty of Science as long as the specific admission requirements are fulfilled and the application is submitted on time.
The autumn semester courses will be open for applications from 16 March to 15 April 2020. It is important that you submit your application on time! All courses will be closed for application after the deadline and may or may not be reopened for late applications before the start of the semester. If you intend to write your Master's thesis next semester contact the director of studies before the application deadline.
Note also that after the first selection results are communicated on 9 July, admitted students must accept or decline their study places, see more information on antagning.se. The deadline is 24 July and the final admission results are communicated on 30 July.
Contact the student counsellor or the director of studies if you need assistance with your application.
Master Programme Fall 2020
We should like to inform those students who are interested in applying for the Master´s programme in mathematics or mathematical statistics starting in the upcoming autumn semester, that these are only open for applications in the early admission round on universityadmissions.se from 16 October to 15 January.
Courses in Mathematics, Spring 2020
The spring semester starts on Monday 20 January and ends on Sunday 7 June.
Admission and registration
All courses given in the spring semester have been open for application during the period 15 September - 15 October. Some of the courses will be open for late applications on antagning.se in January and some in March. The courses that are not scheduled to open for late applications do not have vacant study places but may be reopened after the introductory meetings.
Admitted and conditionally admitted students will receive more information after 8 January. Students admitted unconditionally can self-register in Ladok one week before the course starts.
Introductory meetings and schedule
Course websites for all courses in mathematics in numerical analysis given in the spring semester are available in Canvas. These are also accessible from the left menu.
The literature lists for all courses offered in this semester can be found below: