Seminar-Profile
| General Details | |
|---|---|
| Seminar title | Master Seminar on Data Science & Econometric Methods |
| Course code | 373031 |
| Academic session | Summer 2026 |
| Course availability | Summer |
| Course content | methodological approaches from the fields of econometrics and data science |
| Target group / area (Zuordnung) | MSc WiWi; Area: Data Science and Applied Econometrics |
| Number of participants | max. 20 |
| Course language | 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 questions through competent application of methods from econometrics / data science |
| Prerequisites | at least one successfully completed methodological lecture on the master level |
| Introductory course to academic research | yes (see "Introduction to scientific work with LaTeX amd Python") |
| Formal guidelines | term paper template |
| General literature | no |
| Basic literature on individual topics | Will be announced when topics are publised |
| Methodology | topic-specific |
| Specialized software | statistical software (free choice) |
| Recommened worf processing software | LATEX (recommened, but MS Word is also possible) |
| Length of term paper | 15 pages text (if topic is handled by one person) |
| Meetings to discuss outline | yes, at least one |
| Performance requirements / evaluation | written: seminar paper Both examinations must be completed and attendance at the presentation event is compulsory. A bonus of on egrade level is awarded for a good presentation (e. g.: from 2.0 to 1.7). |
| Examiner | Prof. Dr. Jantje Sönksen |
| Contact person | Esther Voth |
| Group Assignments and Topics | |
| Group assignment | no, only in the event of very high number of seminar participants |
| Group size | (only if necessary: max. 3) |
| Group formation | (only if necessary: according to topic preferences) |
| Topics | Topic List; students are also welcome to submit their own request. |
| Assignment of topics | preference-based |
| Initial registration | webform |
| Process Schedule | |
| Information session | 13th April 2026, from 9.15 to 10.45 a.m., room I-442; Information about the information event can be found here. |
| Initial 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 event (in calendar week 16) via email
|
| Commencement of seminar paper | with binding registration |
| Submission of seminar paper | 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 Working with LaTeX and Python
Course Overview
The block course introduces master students of economics and management to essential scientific tools: LaTeX for professional document preparation and Python for data analysis.Schedule
From 13th April to 17th April and 20th April 2026, from 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
- LaTeX basics
- Advanced LaTeX (equations, bibliographies, templates)
Day 2: Introduction to Scientific Writing
- Scientific writing principles
Day 3: Python Basics for Data Analysis
- Python fundamentals and environment setup
- Data handling with NumPy and Pandas
Day 4: Applied Data Analysis and Integration
- Data visualization and statistical analysis
- Mini-project combining Python and LaTeX
Day 5 + 6: (Depending on how the course progresses, one or two days of the block course may be cancelled if necessary.)
Pre-Course Preparation
Please complete these preparations before the course begins:1. Register for Overleaf
- Create an account: https://tex.cloud.uni-hannover.de
- Use your WebSSO credentials
- 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're interested in participating, please email me at itzen@eds.uni-hannover.de indicating which specific parts (days/blocks) of the course you plan to attend. This helps me plan effectively if we finish a block early.Language
The course will be conducted in English if any non-German speaking students are present. Otherwise, it will be in German.Why These Tools?
- LaTeX: Standard for academic writing with proper mathematical notation
- Python: Essential for data analysis in economics and finance
No prior experience required. This optional course provides practical skills to enhance your academic work.
Questions? Contact me.
