NMAK17006U  Modern Topics in Statistics

Volume 2019/2020

MSc Programme in Statistics

MSc Programme in Mathematics-Economics


The course will be concerned with selected modern topics in statistics such as, for example, causal inference, analysis of high-dimensional data and multiple testing problems.

Learning Outcome


  • Basic knowledge of the topics covered


  • Ability to practically apply the methods discussed in the course
  • Understand theoretical guarantees for the discussed methods
  • Understand limitations of the discussed methods


  • Ability to analyze high-dimensional data
  • Perform theoretical analyses of statistical methods for high-dimensional data

Selected book chapters and articles from the literature.

Basic mathematical statistics and probability based on measure theory.
For example: Measures and Integrals + Mathematical Statistics or equivalent.

Academic qualifications equivalent to a BSc degree is recommended.
Four hours of lectures and three hours of exercises per week for 7 weeks.
Continuous feedback during the course of the semester
7,5 ECTS
Type of assessment
Written assignment, 27 hours
27 hour written take-home assignment.
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
One internal examiner

30 minutes oral examination without preparation time. No aids allowed during examination. Several internal examiners.


Criteria for exam assesment

Student must in a satisfactory way demonstrate understanding of the covered topics.

  • Category
  • Hours
  • Exam
  • 27
  • Exercises
  • 21
  • Lectures
  • 28
  • Preparation
  • 130
  • Total
  • 206