Data Science Certificate Program

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The Professional Data Science Certificate Program is an extra-occupational training at the LMU, Munich. Its purpose is to communicate adequate knowledge of the theory and methods of Data Science. With this background we are adressing the needs of professionals in their everyday work. The program orients itself along the following guidelines:

  • Introduction to the theoretical and practical concepts in the field of Data Science and its potential in business use cases 
  • Transfer of well-founded know-how in the most diverse areas of Data Science
  • Training of analytical and strategic skills

The Professional Certificate Program is aimed at anyone working in any area of business or education. Only the requirements need to be satisfied.

The Certificate Program is developed as a one-semester training with an estimated workload of 200 hours (including time for preparation, follow-up work and preparation for the exam). Registration for the course during the summer term 2020 is open, see below for more details on specific dates.

Download Flyer

Important Dates 

Deadline to apply for the summer term 2020: 29th of February 2020

For many practical tutorials in the data science certificate program, basic knowledge of the statistical programming language R is required. If you don't have any basic knowledge in R or want to refresh your knowledge in R, we highly recommend you to book this Day 0 (R crash course) separately at Munich R Courses the website, which will be available before the beginning of every program. For more information, visit the R crash course registration page.

DayTopicWinter Term 2019/2020Summer Term 2020*Winter Term 2020/2021*Summer Term 2021*
0 R crash course (separate booking required) 14./15.10.2019 23./24.04.2020 tba tba
1 First steps in Data Analysis 18.10.2019
24.04.2020 23.10.2020 30.04.2021
2 Statistical Foundations 25.10.2019 08.05.2020 30.10.2020 07.05.2021
3 Causality and Causation & Visualization 08.11.2019 15.05.2020 13.11.2020 21.05.2021
4 Data Management 15.11.2019 29.05.2020 20.11.2020 11.06.2021
5 Predictive Modelling 1 22.11.2019 19.06.2020 27.11.2020 18.06.2021
6 Predictive Modelling 2 & Deep Learning 29.11.2019 26.06.2020 04.12.2020 25.06.2021
7 Unsupervised Methods 13.12.2019 03.07.2020 11.12.2020 02.07.2021
8 Tools and Concepts for Large Data Sets 10.01.2020 10.07.2020 15.01.2021 09.07.2021
9 Data Privacy, Security & Visualization 17.01.2020 17.07.2020 22.01.2021 16.07.2021
10 Day of the Exam 24.01.2020 24.07.2020 29.01.2021 23.07.2021
* Dates are subject to change.
The lectures are from 9 am to 5 pm with 4 x 90 minute time-slots for lectures and practical use cases.
Two coffee breaks and a lunch break are included

Participation Fee

RegularReduced (20%)
Course Fee 5.900 € 4.720 €
Examination Fee 600 € 480 €
Total Fee 6.500 € 5.200 €
  • The fee includes snacks, drinks, coffee, course material and a graded certificate.
  • The 20% discount is intended for applicants from social, scientific and cultural facilities.
  • If a company is a sponsoring member of the German Society for Data Science (GDS) e.V. and registers more than four applicants who are admitted to the course by the Steering Committee, a discount of 20% will be granted per participant.
  • Please send a proof with your application (
  • Participation in the exam is only possible if you have already participated at 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.
  • See the Course Regulations (140 KByte) for further information.


There will be a written and an oral exam on the 10th day of the course  (winter term 24th January 2020, summer term 24th of July 2020).


Leibniz Rechenzentrum (LRZ)
Boltzmannstr. 1
D-85748 Garching

Further information can be found here


Downloads (only in german) 

Course Regulations (140 KByte) 
Terms and Conditions (104 KByte)
Flyer (97 KByte)

For many practical tutorials in the Data Science Certificate Program, basic knowledge of the statistical programming language R is required. If you don't have any basic knowledge in R or want to refresh your knowledge in R, we highly recommend you to learn R in self-study before the certificate program starts.
Alternatively, you can book a separate R Crashcourse at 11.03.2020 or R basics course from 23.04.2020 – 24.04.2020 at Essential Data Science Training, an official LMU Spin-off. For more information, visit the R basics course registration page.