Seminar fact sheet
| General Details | |
|---|---|
| Seminar titel | Bachelor-Seminar in Data Science & Econometric Methods |
| Course code(s) | 273034 |
| Academic session | Summer term 2026 |
| Course availability | Summer term |
| Framework topic (content) | methodological procedures from the fields of econometrics and data science |
| Target group / area | BSc WiWi: Area of Competency BWL and VWL |
| Number of participants | maximum 20 |
| Language | German/English |
| Location | internal seminar |
| Industry partner | no |
| Timetable | block course |
| Completion of term paper | during lecture period |
| Requirements and Academic Support | |
| Objectives | Analysis of economic issues through the competent application of methods from econometrics/data science |
| Prerequisites | Descriptive / Inductive Statistics + another methodological lecture |
| Introductory course to academic research | yes, in calendar week 16/17 (see "Introduction to scientific work with LaTeX amd Python") |
| Formale guidelines | Seminar paper template |
| General literature | no |
| Basic literature to introduce each topic | will be listed when topics are announced |
| Methodology | topic-dependent |
| Specialised software | Statistical software (free choice) |
| Recommended word processing software | LATEX (recommended, MS Word is also possible) |
| Length of term paper | 15 pages text (when processed by one person) |
| Meeting(s) to discuss outline | yes, at least one |
| Performance requirements / assessment, including weighting | Written: Seminar paper Both examination components must be completed and attendance at the presentation event is compulsory. A bonus of one grade point will be awarded for a good presentation (e.g. from 2.0 to 1.7). |
| Examiner(s) | Prof. Dr. Jantje Sönksen |
| Contact person | Esther Voth |
| Group Assignments and Topics | |
| Group assignment | No, only in the event of very high seminar occupancy. |
| Group size | (only if necessary: maximum 3) |
| Group formation | (only if necessary: according to topic preferences) |
| Topics | Topic list; However, students are also welcome to contribute their own suggestions. |
| Assignment of topics | preference-based |
| Initial registration | Web form |
| Process Schedule | |
| Information session | 13th April 2026, from 9.15 to 10.45 a.m., I-442; Information about the information event can be found here. |
| Pre-registration / Application | by 7th April 2026 via web form with topic preference |
| Topic assignment | by 10th April 2026 via email |
| Formal (binding) registration | until the day of the information session (in calendar week 16) via email
|
| Start processing seminar paper | with binding registration |
| Seminar paper submission | 23rd June 2026 via email to supervisor |
| Presentation | calendar week 24, Time and room to follow (presentation of the current status of the work) |
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Introduction to scientific work with LaTeX and Python
Course overview
This block course introduces Bachelor's students of economics to essential scientific tools: LaTeX for professional document creation and Python for data analysis.Schedule
13th April to 17th April + 20th April 2026, 2:30 p.m. to 5:45 p.m. each day- 13th April: room I-442
- 14th to 17th + 20th April: room I-A003 (Niedersachsensaal)
Day 1: Introduction to LaTeX
- Basics of LaTeX
- LaTeX for advanced users (equations, bibliographies, templates)
Day 2: Introduction to scientific writing
- Principles of scientific writing
Day 3: Python basics for data analysis
- Basics of Python and setting up the environment
- Data processing with NumPy and Pandas
Day 4: Applied data analysis and integration
- Data visualisation and statistical analysis
- Mini-project combining Python and LaTeX
Days 5 + 6: (Depending on how the course progresses, one or two days of the block course may be cancelled if necessary.)
Course preparation
Please complete the following preparations before the course begins:1. Register for Overleaf
- Create an account: https://tex.cloud.uni-hannover.de
- Use your WebSSO login details
- Overleaf is a collaborative LaTeX editor for scientific documents
2. Install PyCharm Community Edition
- Download from: https://www.jetbrains.com/pycharm/download/
- PyCharm is an IDE that makes Python development more efficient
Registration
If you are interested in participating, please send me an email at itzen@eds.uni-hannover.de and indicate which parts (days/blocks) of the course you would like to attend. This will help me plan effectively in case we finish a block early.Language
The course will be held in English if there are non-German-speaking participants. Otherwise, it will be held in German.Why these tools?
- LaTeX: Standard for academic writing with correct mathematical notation.
- Python: Indispensable for data analysis in economics and finance.
No prior knowledge is required. This optional course teaches practical skills to improve your academic work.
Do you have any questions? Please contact me.
