CAS Applied Data Science

The Mathematical Institute and Science IT Support are offering a Certificate of Advanced Studies (CAS) program in Applied Data Science (ADS).

Graduation is possible within one or two years. The CAS provides 12 ECTS credit points achieved in 18 days of presence with a total workload about 340 hours.

It is structured in five modules which are offered in blocks; August/September, January/February and June respectively.

Registration for 2018/19 has closed. Registration for 2019/20 opens mid November.

 

Information  
 Degree CAS in Applied Data Science University of Bern 
 Structure Modular, part time, three blocks per year
 ECTS  12 ECTS credit points. 18 days of presence. About 340 hours workload total.
 Duration 1-2 years 
 Location University of Bern
 Language English
 Costs

5'640 CHF (3'760 CHF for Bern University employees and enrolled students). A further reduction may apply for students.

Payment in installments is possible.
Enrolment By email to cas-ads.math@lists.unibe.ch
 Contact cas-ads.math@lists.unibe.ch
Manager PD Dr. Sigve Haug
Traegerschaft Mathematical Institute

Rooms and lecturers to be confirmed. All courses take place in walking distance from the Bern railway station.

Building abbreviations
Abbreviation Building 
ExWi Exakte Wissenschaften (Sidlerstrasse 5) 
UniS UniS (Schanzeneckstrasse 1) 
HG Main Building (Hochschulstrasse 4) 
MS Mittelstrasse 43
CAS ADS Schedule 2018/19 (repeated annually)
Date Time   Room  Module  Lecturer  Comment
2018-06-12 13:30-14:30 ExWi B13 Introduction to the CAS ADS  PD. Dr. S. Haug   
           
2018-08-22 09:00-17:00 HG 104 M1 Data acquisition and management 1-2 PD. Dr. S. Haug Course and registration link
2018-08-23 09:00-17:00 HG 104 M1 Data acquisition and management 3-4 PD. Dr. S. Haug, Nicole Kneubuehl, Jennifer Morger  
2018-08-24 09:00-17:00 HG 104 M1 Data acquisition and management 5-6 PD Dr. Sigve Haug, Prof. Dr. Kai Bruenner  
2018-08-27 09:00-12:30 MS 016 M2 Statistical Inference for Data Science 1 PD. Dr. S. Haug Course and registration link.
2018-08-28 09:00-12:30 MS 016 M2 Statistical Inference for Data Science 2  PD. Dr. S. Haug  
2018-08-29 09:00-12:30 MS 016 M2 Statistical Inference for Data Science 3  PD. Dr. S. Haug  
2018-08-30 09:00-12:30 MS 016 M2 Statistical Inference for Data Science 4  PD. Dr. S. Haug  
2018-09-14 09:00-17:00   M2 Statistical Inference for Data Science 5-6  PD. Dr. S. Haug Project work poster presentations
2018-09-23         M1 Project report submission deadline
           
2019-XX-XX     M5 Peer Consulting   Consultant for one of your CAS colleagues. Information and registration link. Mandatory for Module 5.
           
2019-01-28 18:00 Mürren M3 Data Analysis and Machine Learning 1+2 Prof. Dr. P. Favaro, Dr. M. Vladymyrov, PD Dr. S. Haug Arrival and dinner
2019-01-29 09:00-17:00 Mürren M3 Data Analysis and Machine Learning 1+2 Prof. Dr. P. Favaro, Dr. M. Vladymyrov, PD Dr. S. Haug Registration link for module 3.
2019-01-30 13:30-17:00 Mürren M3 Data Analysis and Machine Learning 3 Prof. Dr. P. Favaro, Dr. M. Vladymyrov  
2019-01-31 13:30-17:00 Mürren M3 Data Analysis and Machine Learning 4 Prof. Dr. P. Favaro, Dr. M. Vladymyrov  
2019-02-01  09:00-12:30 Mürren M3 Data Analysis and Machine Learning 5+6 Prof. Dr. P. Favaro, Dr. M. Vladymyrov, PD Dr. S. Haug  
           
2019-02-11 13:30-17:00 ExWi 228 M5 Peer knowledge transfer group  PD. Dr. S. Haug  2 transfer groups required for Module 5. Registration link.
2019-02-12 13:30-17:00 ExWi 228 M5 Peer knowledge transfer group  PD. Dr. S. Haug  Registration link.
           
2019-02-17         M3 Project report submission DL if you don't do the presentation.
2019-02-18 13:30-17:00 ExWi 228 M3 Project work presentation Prof. Dr. P. Favaro, Dr. M. Vladymyrov, PD Dr. S. Haug  You choose either 18th or 19th in Mürren.
2019-02-19 13:30-17:00 ExWi 228 M3 Project work presentation Prof. Dr. P. Favaro, Dr. M. Vladymyrov, PD Dr. S. Haug  
           
2019-06-10 13:30-17:00 ExWi 228 M5 Peer knowledge transfer group  PD. Dr. S. Haug  2 transfer groups required for Module 5. Registration link.
2019-06-11 09:00-17:00 TBC M4 Ethics and Best Practices 1 - Introduction PD. Dr. S. Haug  Course and registration link.
2019-06-12 09:00-17:00 TBC M4 Ethics and Best Practices 2 - CVS and Git P. Verges  Course and registration link.
2019-06-13 09:00-17:00 TBC M4 Ethics and Best Practices 3 - Cyber Security Awareness M. Seitz (SWITCH) Course and registration link.
2019-06-14 09:00-12:30 TBC M4 Ethics and Best Practices - Documentation  PD. Dr. S. Haug, Course and registration link.
2019-06-14 13:30-17:00
TBC
M4 Ethics and Best Practices 4 - FOSS M. Graf (CC Digital Law)  Course and registration link.
2019-06-17 13:30-17:00 ExWi 228 M5 Peer knowledge transfer group  PD. Dr. S. Haug  Registration link.
           
2019-06-24 09:00-17:00 ExWi 228 M5 Oral exams PD. Dr. S. Haug One 30 min exam per participant. Book your slot here.
2019-06-25 09:00-17:00 ExWi 228 M5 Oral exams PD. Dr. S. Haug  
2019-06-26 09:00-17:00 ExWi 228 M5 Oral exams PD. Dr. S. Haug  
           
 2019-06-28 09:00-16:00 ExWi 228 M4 Presentation day PD. Dr. S. Haug  
2019-06-28 16:00-17:30 ExWi 228 Apero for CAS finisher    

For Module 5, 10 half days of electives are also needed. Electives are continually published under Trainings and Workshops

Per year there are 24 places. Registrations are accepted in the order they arrive. A waiting list is maintained.  

The CAS management may decide not to carry out a year's programme by June 30.

The University of Bern also offers CAS/DAS/MAS in "Angewandter Statistik". The full list of offers is here.