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Applied Data Science

CAS

Universität Bern UNIBE

Catégories
Lieu de formation

Berne (BE)

Langue d'enseignement

anglais

Type de formation

Hautes écoles universitaires HEU - Formation continue: formations longues

Modalités temporelles

En emploi

Thèmes de formation

Nature, sciences naturelles

Domaines d'études

Mathématiques

Swissdoc

7.160.5.0

Mise à jour 10.02.2021

Description

Description de la formation

In most disciplines, the amount of available data is growing rapidly. Handling and processing the data remains a challenge and the demand for data science expertise is increasing dramatically across all domains. This CAS offers internal and external students, researchers, and employees the opportunity to complement their domain-specific core competences with a formal deepening and broadening of their applied data science knowledge and skills. The format is designed to align with the participants’ main study and professional activities.
Modules:

  • Data Acquisition and Management
  • Statistical Inference for Data Science
  • Data Analysis and Machine Learning
  • Ethics and Best Practices
  • Consolidations and Electives
  • Deep Learning

Scope: 16 ECTS

Objectives

At the end graduates will be:

  • familiar with different data sources and data types, and able to develop data management plans.
  • able to describe, extract and present scientific knowledge from data using statistical methods.
  • able to process data with machine learning tools and methods.
  • familiar with best practices for data management, analytics, and science.
  • able to analyse and communicate data science challenges and use a wide range of data science tools and methods.

Admission

Conditions d’admission

Target Groups

Aimed at students and professionals from the public/private sector that hold a degree from a university or a university of applied sciences (e.g. BSc, MSc, PhD).

  • Suitable for management wanting to know what data scientists are accomplishing in their fields
  • Relevant for data analysts who want to go beyond spread sheets towards large data sets and refine their skills
  • Applicable to consultants with a desire to know the possibilities offered by data science
  • Intended for researchers wanting to take data science expert roles within their teams

Coûts

CHF 9'600.-
(Employees and students of the university of Bern: CHF 5'600.-)

Diplôme

  • Certificate of Advanced Studies CAS

Certificate of Advanced Studies in Applied Data Science, University of Bern

Infos pratiques

Lieu / adresse

  • Berne (BE)

University of Bern
Mathematical Institute
Sidlerstrasse 5
3012 Bern

Déroulement temporel

Début des cours

August 2021

Durée de la formation

1 - 2 years (18 course days, given in three blocks per year)

Modalités temporelles

  • En emploi

Langue d’enseignement

  • anglais

Liens

Renseignements / contact

Sigve Haug, sigve.haug@math.unibe.ch, +41 31 631 82 46
Claire Dové, claire.dove@math.unibe.ch, +41 31 631 80 85

Universität Bern UNIBE

Zulassung, Immatrikulation und Beratung
Tel.: +41 31 684 39 11

orientation.ch