Seminar in Statistics (StatSem)

Course content

The purpose of the course is to introduce the student to the reading and presentation of research papers within statistics. It prepares the student for their master's thesis in statistics and it provides the student with a background for choosing a suitable topic and supervisor for their thesis. 


The course consists of three seminar tracks within the following three overall research areas:

  • Applied statistics
  • Theoretical statistics and probability theory
  • Computations, algorithms and methodology


Each seminar track will present a selection of research papers within the area to the students. The papers can be a mix of classical papers and recent papers.



MSc Programme in Statistics
MSc Programme in Mathematics-Economics
MSc Programme in Actuarial Mathematics

Learning outcome


  • Selected contemporary and classical topics in statistics and probability theory
  • Scientific journals and conferences within statistics and machine learning



  • Read research level literature within statistics and/or probability theory
  • Present research level problems and solutions orally and in writing
  • Discuss and criticise research papers



  • Prioritize effort in the process of understanding technical literature
  • Condense and summarize the main points of a technical research paper

Each of the three seminar tracks has one seminar each week consisting of 2x45 minutes of oral presentation plus 45 minutes of discussion each week. The presentations and discussions are given by the course participants.

The tracks do not overlap, and the students can choose to follow one or more seminars each week. The participants are required to attend a minimum of seven seminars during the course.

The course is targeted toward 2nd year MSc students in statistics, and participants are expected to have corresponding mathematical and statistical qualifications, e.g by having passed the MSc courses Regression, Stat A and Stat B.

Continuous feedback during the course
Peer feedback (Students give each other feedback)
7,5 ECTS
Type of assessment
Continuous assessment
Type of assessment details
The exam is composed of five elements that are to be completed during the course. Four of the elements are based on the scientific papers and consist of: one oral paper presentation; one oral paper discussion; two written paper synopses. In addition, the students must attend a minimum of seven seminars during the course.
Marking scale
passed/not passed
Censorship form
No external censorship
One internal examiner
Criteria for exam assessment

Each of the five elements of the exam must be passed separately to pass the course.

To pass an element, the student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course corresponding to that element.

Single subject courses (day)

  • Category
  • Hours
  • Preparation
  • 100
  • Seminar
  • 21
  • Exam Preparation
  • 60
  • Exam
  • 25
  • English
  • 206


Course number
7,5 ECTS
Programme level
Full Degree Master

1 block

Block 1
The number of seats may be reduced in the late registration period
Study Board of Mathematics and Computer Science
Contracting department
  • Department of Mathematical Sciences
Contracting faculty
  • Faculty of Science
Course Coordinators
  • Niels Richard Hansen   (14-78736f767d387c38726b787d6f784a776b7e7238757f386e75)
  • Sebastian Weichwald   (10-797d6b6f696e7d67726a4673677a6e34717b346a71)
  • Susanne Ditlevsen   (7-76787664717168437064776b316e7831676e)
Saved on the 07-04-2022

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