Dates and Information
General Information
Target Group: The Data Science Certificate Program addresses 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 in order to prevent wrong decisions and who get to know the most important software products that are used in the field of big data analytics.
Language of instruction: English (unless all participants understand German well enough, however, the course material itself will always be in English)
Application deadline for the summer term 2020: 29th of February 2020
Important: 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 either self-study or book a separate R Crashcourse on 11.03.2020 or R basics course from 23.04.2020 – 24.04.2020 at Essential Data Science Training GmbH (LMU Spin-off), which will be available before the beginning of every program. For more information, visit the R crash course registration page.
Dates
Duration of the Program: 10 days in total (9 lectures and one exam), always Fridays, 9 am - 5 pm (winter term between October and February, summer term between April and July), with 4 x 90 minute time-slots for lectures and practical use cases. Two coffee breaks and a lunch break are included.
Workload: about 200 hours (including preparation time, follow-up work and for the exam).
| Day | Topic | Summer Term 2020 | Winter Term 2020/2021* | Summer Term 2021* |
|---|---|---|---|---|
| 0 | R crash course (separate booking required) | 11.03.2020 | tba | tba |
| 1 | First steps in Data Analysis | 24.04.2020 | 23.10.2020 | 30.04.2021 |
| 2 | Statistical Foundations | 08.05.2020 | 30.10.2020 | 07.05.2021 |
| 3 | Causality and Causation & Visualization | 15.05.2020 | 13.11.2020 | 21.05.2021 |
| 4 | Data Management | 29.05.2020 | 20.11.2020 | 11.06.2021 |
| 5 | Predictive Modelling 1 | 19.06.2020 | 27.11.2020 | 18.06.2021 |
| 6 | Predictive Modelling 2 & Deep Learning | 26.06.2020 | 04.12.2020 | 25.06.2021 |
| 7 | Unsupervised Methods | 03.07.2020 | 11.12.2020 | 02.07.2021 |
| 8 | Tools and Concepts for Large Data Sets | 10.07.2020 | 15.01.2021 | 09.07.2021 |
| 9 | Data Privacy, Security & Visualization | 17.07.2020 | 22.01.2021 | 16.07.2021 |
| 10 | Day of the Exam | 24.07.2020 | 29.01.2021 | 23.07.2021 |
Participation Fee
| Regular | Reduced (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 discount proof with your application (weiterbildung@lmu.de).
- 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) and our FAQ for further information.
Exam
There will be a written and an oral exam on the 10th day of each course (winter term 24th January 2020, summer term 24th of July 2020).
Location
Leibniz Rechenzentrum (LRZ)
Boltzmannstr. 1
D-85748 Garching
Germany
Further information regarding the direction can be found here.
Downloads (only in german)