Data Science Certificate Program
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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: TBA, end of 2025. 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).

LectureTopicSummer Term 20252026
Early Application Deadline*
For an earlier admission to the course (if the minimum number of participants is reached)		 10.01.2025 tba
Late Application Deadline*
For the allocation of remaining places (if any are still available after the early deadline)		 01.03.2025 tba
0 R crash course (optional, separate booking required) 24.03.2025 tba
1 First Steps in Data Analysis 28.03.2025 tba
2 Unsupervised Methods 04.04.2025 tba
3 Statistical Foundations 11.04.2025 tba
4 Large-Scale Data Science and AI 08.05.2025 tba
5 Statistical Modeling 09.05.2025 tba
6 Supervised Machine Learning 1 16.05.2025 tba
7 Supervised Machine Learning 2 23.05.2025 tba
8 Supervised Machine Learning 3 30.05.2025 tba
9 Introduction to Deep Learning 06.06.2025 tba
10 Day of the Exam 27.06.2025 tba
* Subscribe to our newsletter to be notified of upcoming application deadlines.

Participation Fee

We aim to alternate between in-person and online course formats. However, due to limited demand for a fully online offering, the course is currently held once per year in an in-person format only. While we generally avoid mixed or hybrid delivery modes, remote participation may be permitted on a case-by-case basis, primarily for individuals residing outside Germany, subject to availability.
In-person Course2
(regular price)
Course Fee (incl. Examination Fee) 6.500,00 €
Examination Fee1 650,00 €
1 Participation in the exam is only possible if you have already participated in our certification program. A failed exam can be repeated on the next possible regular date and a separate examination fee will be charged for each retest.
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) 

Course Regulations (140 KByte) 
Terms and Conditions (104 KByte)