Dates and Information
As we are planning some adjustments and updates regarding the course, the next course might start in 2022. We will update this page soon, if you want to be informed, please leave your Mail using our reminder.
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 want to 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 next term: tba
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 basic course 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 basic course registration page.
Dates
Duration: Normal Course (9 days and one exam day) or Live Online Course (18 half-days and one exam day), depending on the situation.
Workload: about 200 hours (including preparation time, follow-up work and for the exam).
| Lecture | Topic | Winter Term 2021 LIVE ONLINE Course | Summer Term 2022* |
|---|---|---|---|
| Application Deadline | tba | tba | |
| 0 | R crash course (separate booking required) | tba | tba |
| 1 | First steps in Data Analysis | tba | tba |
| 2 | Statistical Foundations | tba | tba |
| 3 | Causality and Causation & Visualization | tba | tba |
| 4 | Data Management | tba | tba |
| 5 | Predictive Modelling 1 | tba | tba |
| 6 | Predictive Modelling 2 & Deep Learning | tba | tba |
| 7 | Unsupervised Methods | tba | tba |
| 8 | Tools and Concepts for Large Data Sets | tba | tba |
| 9 | Data Privacy, Security & Visualization | tba | tba |
| 10 | Day of the Exam | tba | tba |
Participation Fee
| Pricing (in case of an online course) | Pricing (in case of an in-person course) | Disount Pricing* (in case of an in-person course) | |
|---|---|---|---|
| Course Fee | 3900 € | 5900 | 4720 |
| Examination Fee | 390 € | 600 | 480 |
| Total Fee | 4290 € | 6500 | 5200 |
- 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.
- *There is a 20% discount off the regular price for LMU alumni and for employees in the public service, social and scientific institutions. The discount is only valid for in-person-courses. A proof is required which has to be sent with your application.
Downloads (only in german)