Statistics, Econometrics and Quantitative Methods

S312/S322 Bachelor Thesis in Empirical Economics (BSc)

This seminar is jointly offered by the departments of Prof. Dr. Martin Biewen (Statistics, Econometrics and Quantitative Methods) and Prof. Dr. Joachim Grammig (Econometrics, Statistics and Empirical Economics).

Please register by joining the ILIAS folder, where you will have to upload a current transcript of records and fill out a survey regarding your topic preferences by April 12, 23:55. Your supervising chair will be assigned to you based on your indicated preferences, and you will be contacted once the decision has been made.

Lecturer: 

Prof. Dr. Martin Biewen
Prof. Dr. Joachim Grammig
Dr. Julie Schnaitmann
Dr. Miriam Sturm

Alexander Reining

Simon Zeller

Jacqueline Gut

Robin Gligorov

Paula Roth

Profiles: B.Sc. in Economics and Business Administration
B.Sc. in International Economics
B.Sc. in International Business Administration
Prerequisites: Applied Econometrics (or similar)
Language: English (German possible)
Time and Place: See timeline below
Exam: 1) Presentation of draft (20 min)
2) Bachelor thesis (20 pages)
3) Presentation of bachelor thesis (20 min)
Credits: 12 ECTS

 

Timeline

until 12.04.2026, 11:55 PMUpload transcript of records to the Ilias folder and fill out the survey 
until 15.04.2026Assignment to supervising chairvia email
until 23.04.2026Discussion of the chosen topic with assigned supervisor 
24.04.2026Start of working time 
01.06.2026Interim presentation and feedback 

03.07.2026
12:00

 

 

Deadline for submission of bachelor thesis (upload PDF to Ilias) 
10.07.2026Presentation of final thesis
(mandatory participation in whole day seminar)
 

General information

Formal guidelines

Plagiarism and academic fraud

It is strictly forbidden to: i) copy/paste text from existing publications outside a regular quote, ii) copy essential thoughts or structures from existing work without acknowledging their sources, iii) use substantial external help in carrying out research or writing without acknowledging this, iv) produce fake research results. Any violations of these rules may lead to exmatriculation. Academic fraud may also destroy your career if discovered later in your life. We will use software to detect potential academic misconduct.