Dates and Information
General Information
Target Group: Professionals and executives who want to continue their education in the field of data science, want to learn how to extract information from data, rethink and enhance data analysis procedures to prevent wrong decisions, and want to get to know important software used in the field of big data analytics. See our requirements for further information on the formal prerequisites.
Language of instruction: English (unless all participants understand German well enough, however, the course material itself will always be in English)
Application deadline: 01.03.2025 (for remaining places). Subscribe to our newsletter to receive notifications for upcoming application deadlines.
Note: The Data Science Certificate Program primarily teaches theoretical foundations and methods. However, it also includes some minor practical sessions and demos where basic knowledge of the statistical programming language R can be an advantage (in some practical sessions, we may additionally provide equivalent Python code; however, our primary emphasis remains on utilizing R). Therefore, if you lack basic proficiency in R or seek to refresh your skills, we advise either undertaking self-study to learn R or enrolling in a dedicated R course (e.g., Essential Data Science Training GmbH, a LMU Spin-off, offers a specialized R course before the beginning of every program).
Dates
Duration: The program consists of 9 lecture days (e.g., each from 09:00 to 17:00 in case of an in-person course) and one exam day.
Workload (estimated): 200 hours (including participation in lectures, preparation time, follow-up work, and for the exam).
| Lecture | Topic | Summer Term 2025 (in-person course, online participation only for non-EU residents) |
|---|---|---|
| Early Application Deadline* For an earlier admission to the course (if the minimum number of participants is reached) |
10.01.2025 | |
| Late Application Deadline* For the allocation of remaining places (if any are still available after the early deadline) |
01.03.2025 | |
| 0 | R crash course (optional, separate booking required) | 24.03.2025 |
| 1 | First Steps in Data Analysis | 28.03.2025 |
| 2 | Unsupervised Methods | 04.04.2025 |
| 3 | Statistical Foundations | 11.04.2025 |
| 4 | Large-Scale Data Science and AI | 08.05.2025 |
| 5 | Statistical Modeling | 09.05.2025 |
| 6 | Supervised Machine Learning 1 | 16.05.2025 |
| 7 | Supervised Machine Learning 2 | 23.05.2025 |
| 8 | Supervised Machine Learning 3 | 30.05.2025 |
| 9 | Introduction to Deep Learning | 06.06.2025 |
| 10 | Day of the Exam | 27.06.2025 |
Participation Fee
| In-person Course2 (regular price) | Online Course2 (regular price) | |
|---|---|---|
| Course Fee (incl. Examination Fee) | 6.500,00 € | 5.200,00 € |
| Examination Fee1 | 650,00 € | 520,00 € |
2 There is a 20% discount for LMU alumni and employees in public service, social, and scientific institutions. Proof is required and must be sent with your application via the registration form.
1,2 See the Course Regulations (140 KByte) and our FAQ for further information.
Downloads (only in German)