Econometrics Research


Course Objective

This selective master course places students in contact with some of the
latest research in econometrics and data science. Instead of reading
textbooks prepared for the classroom, the students will read recent
research articles, published in top international scientific journals.
The students will also be trained in writing and presenting econometric

Course Content

This course covers a range of trending topics and state-of-the-art
methods in econometrics and data science. Students taking this course
experience not only the difficulties and challenges of econometric
research, but also the pleasure and excitement that comes with it!

Teaching Methods

Lectures and individual research meetings

Method of Assessment

Presentations and research reports

Entry Requirements

Solid background knowledge in econometrics, probability and statistics


Research articles indicated by the lecturer

Target Audience

Econometrics master students and econometrics phd students, as well as
master and phd students from other studies with considerable
quantitative, statistical or mathematical background.

General Information

Course Code E_EORM_ECR
Credits 6 EC
Period P3+4
Course Level 400
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator E.A. Beutner
Examiner E.A. Beutner
Teaching Staff

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture, Study Group
Target audiences

This course is also available as: