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 the CAS ADS 2020/21 is open.

 

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

7'200 CHF (4'200 CHF for employees and enrolled students of the University of Bern). A further reduction may apply for students of the University of Bern.

The fee includes the accommodation costs for the Bern Winter School on Machine Learning (module 3).

Payment in instalments is possible.
Enrolment See registration tab. 
 Contact cas-ads@math.unibe.ch
Manager PD Dr. Sigve Haug
Traegerschaft Mathematical Institute
 Program Management Prof. Dr. Jan Draisma (MAI), Prof. Dr. Paolo Favaro (INF), PD Dr. Sigve Haug (MAI) (manager), Prof. Dr. Christiane Tretter (MAI), Prof. Dr. Thomas Wihler (MAI) (chair)

Rooms and lecturers to be confirmed. All courses take place in walking distance from the Bern railway station. The exception is Module 3 which happens in the ski resort Mürren two train hours from Bern city.

Building abbreviations
Abbreviation Building 
ExWi Exakte Wissenschaften (Sidlerstrasse 5) 
UniM Uni Mittelstrasse (Mittelstrasse 43)
HG Main Building (Hochschulstrasse 4) 
CAS ADS Schedule 2020/21 (repeated annually)
Date Time   Room  Module  Lecturer  Comment
      Module 5    Link to elective courses 
           
2020-02-17 17:30-18:30  ExWi 228 Introduction to the CAS ADS  PD. Dr. S. Haug  One introduction is mandatory
2020-04-01 17:30-18:30 ExWi 228  Introduction to the CAS ADS PD. Dr. S. Haug  No registration needed
2020-05-15 17:30-18:30 ExWi 228
Introduction to the CAS ADS  PD. Dr. S. Haug   
           
2020-08-19 09:00-17:00   M1 Data acquisition and management 1
PD Dr. S. Haug
2020-08-20 09:00-17:00   M1 Data acquisition and management 2
   
2020-08-21 09:00-17:00   M1 Data acquisition and management 3
   
           
2020-08-25 09:00-12:30   M2 Statistical Inference for Data Science 1  
2020-08-26 09:00-12:30   M2 Statistical Inference for Data Science 2    
2020-08-27 09:00-12:30   M2 Statistical Inference for Data Science 3    
2020-08-28 09:00-12:30   M2 Statistical Inference for Data Science 4    
2020-09-18 09:00-17:00   M2 Statistical Inference for Data Science 5-6   Project work presentations
          M1 Project report submission DL 
           
2021-01-25   Mürren M3 Data Analysis and Machine Learning
Prof. Dr. G. Conti, Dr. M. Mykhailo, PD Dr. S. Haug et al.   Arrival in Mürren
2021-01-26 08:00-12:00 Mürren M3 Data Analysis and Machine Learning 1    
2021-01-27 08:00-12:00 Mürren M3 Data Analysis and Machine Learning 2
   
2021-01-28 08:00-12:00 Mürren M3 Data Analysis and Machine Learning 3
   
2021-01-29 08:00-12:00 Mürren M3 Data Analysis and Machine Learning 4
   
2021-02-11 09:00-17:00   M3 Presentation day
PD. Dr. S. Haug, Dr. M. Mykhailo  
2021-02-12 09:00-17:00   M3 Presentation day 
PD. Dr. S. Haug, Dr. M. Mykhailo  
           
2021-06-15 09:00-17:00   M4 Ethics and Best Practices 1 PD. Dr. S. Haug, Prof. Dr. Dr. C.   Beisbart  
2021-06-16 09:00-17:00   M4 Ethics and Best Practices 2 - Git P. Verges  
2021-06-17 13:30-17:00   M4 Ethics and Best Practices 3 - FOSS    
2021-06-17 13:30-17:00   M4 Ethics and Best Practices 4 - Documentation PD. Dr. S. Haug  
2021-06-18 09:00-17:00   M4 Ethics and Best Practices 4 - Security M. Seitz  
           
2021-06-28 09:00-17:00 ExWi 228 M5 Oral exams PD. Dr. S. Haug One 30 min exam per participant
2021-06-29 09:00-17:00 ExWi 228 M5 Oral exams PD. Dr. S. Haug  
2021-06-30 09:00-17:00 ExWi 228 M5 Oral exams PD. Dr. S. Haug  
2021-06-31 09:00-17:00 ExWi 228 M5 Oral exams PD. Dr. S. Haug  
2021-07-02 09:00-17:00 ExWi 228 M4 Ethics and Best Practices - Presentations PD. Dr. S. Haug  
2021-07-02 17:00-18:00 ExWi 3rd floor Apero for finisher    

For Module 5, 10 electives, peer knowledge transfer groups (two half days) and peer consulting (one day) are also needed. Electives are continually published under Trainings and Workshops. Two peer transfers and one oral exam are also needed for Module 5.

Rooms and lecturers to be confirmed. All courses take place in walking distance from the Bern railway station. The exception is Module 3 which happens in the ski resort Mürren two train hours from Bern city.

Building abbreviations
Abbreviation Building 
ExWi Exakte Wissenschaften (Sidlerstrasse 5) 
UniS UniS (Schanzeneckstrasse 1) 
HG Main Building (Hochschulstrasse 4) 
CAS ADS Schedule 2019/20 (repeated annually)
Date Time   Room  Module  Lecturer  Comment
      Module 5    Link to elective courses 
           
2018-12-10 17:00-18:00  ExWi 228  Introduction to the CAS ADS  PD. Dr. S. Haug  One introduction is mandatory
2019-02-13 17:00-18:00 ExWi 228 Introduction to the CAS ADS PD. Dr. S. Haug  No registration needed
2019-06-03 17:00-18:00 ExWi 228
Introduction to the CAS ADS  PD. Dr. S. Haug   
           
2019-08-21 09:00-17:00   M1 Data acquisition and management 1
PD Dr. S. Haug Link to course
2019-08-22 09:00-17:00   M1 Data acquisition and management 2
   
2019-08-23 09:00-17:00   M1 Data acquisition and management 3
   
           
2019-08-27 09:00-12:30   M2 Statistical Inference for Data Science 1 Prof. Dr. G. Conti Link to course
2019-08-28 09:00-12:30   M2 Statistical Inference for Data Science 2    
2019-08-29 09:00-12:30   M2 Statistical Inference for Data Science 3    
2019-08-30 09:00-12:30   M2 Statistical Inference for Data Science 4    
2019-09-13 09:00-17:00   M2 Statistical Inference for Data Science 5-6   Project work presentations
2019-09-22         M1 Project report submission DL 
           
2020-01-27   Mürren M3 Data Analysis and Machine Learning
  Arrival in Mürren
2020-01-28 08:00-12:00 Mürren M3 Data Analysis and Machine Learning 1    Link to course
2020-01-29 08:00-12:00 Mürren M3 Data Analysis and Machine Learning 2
   
2020-01-30 08:00-12:00 Mürren M3 Data Analysis and Machine Learning 3
   
2020-01-31 08:00-12:00 Mürren M3 Data Analysis and Machine Learning 4
   
2020-03-16 14:00-20:00 ExWi 228 M3 Presentation day
PD. Dr. S. Haug, Dr. M. Vladimyrov   Book your slot here
2020-03-20 14:00-20:00 ExWi 228 M3 Presentation day 
PD. Dr. S. Haug, Dr. M. Vladimyrov  
           
2020-02-26 14:00-17:00 ExWi A97 M5 Peer Knowledge Transfer Group PKT. Each   participant needs two of these. Please register via link.  PD. Dr. S. Haug  Link to course
2020-02-28 14:00-17:00 ExWi 228 M5 PKT  PD. Dr. S. Haug  Link to course
2020-03-10 14:00-17:00 ExWi A97 M5 PKT  PD. Dr. S. Haug  Link to course
2020-03-13 14:00-17:00 ExWi 228 M5 PKT  PD. Dr. S. Haug  Link to course
2020-05-06 14:00-17:00 ExWi A97 M5 PKT  PD. Dr. S. Haug  Link to course
2020-05-08 14:00-17:00 ExWi 228 M5 PKT  PD. Dr. S. Haug  Link to course
2020-05-13 14:00-17:00 ExWi A97 M5 PKT  PD. Dr. S. Haug  Link to course
           
2020-06-15 09:00-17:00   M4 Ethics and Best Practices 1 PD Dr. S. Haug, Prof. Dr.   Dr. C. Beisbart  Link to come
2020-06-16 09:00-17:00   M4 Ethics and Best Practices 2 - Git P. Verges  Link to course
2020-06-17 09:00-12:30   M4 Ethics and Best Practices 3 - FOSS   Link to come
2020-06-17 13:30-17:00    M4 Ethics and Best Practices 4 - Documentation PD Dr. S. Haug  Link to course
2020-06-18 09:00-17:00   M4 Ethics and Best Practices 5 - Security M. Seitz  
           
2020-06-29 09:00-17:00 ExWi 228 M5 Oral exams ...  One 30 min exam   per participant. Please select your slot with this Doodle
2020-06-30 09:00-17:00 ExWi 228 M5 Oral exams ...  
2020-07-01 09:00-17:00 ExWi A97 M5 Oral exams ...  
2020-07-03 09:00-17:00 HG 028 M4 Ethics and Best Practices - Presentations PD Dr. S. Haug  
           
2020-07-03 17:00-19:00 ExWi 3rd Floor Apero for finisher    

For Module 5, 10 electives, peer knowledge transfer groups (two half days) and peer consulting (one day) are also needed. Electives are continually published under Trainings and Workshops. Two peer transfers and one oral exam are also needed for Module 5.

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.