CAS Artificial Intelligence and Data Analysis

The CAS in Artificial Intelligence and Data Analysis is a truly international executive certificate developed jointly by ZHAW and UC Davis (USA). Our mission is to provide managers and executives with what they need to compete and thrive in a fast-paced world revolutionised by data and machine learning.

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Objectives and content

Enquiries and contact

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At a glance

Qualification:

Certificate of Advanced Studies in Artificial Intelligence and Data Analysis (12 ECTS)

Start:

on request

Duration:

5 Months (1 week live in Switzerland; 1 week live in California; 2 online modules)

Costs:

CHF 14'800.00

Comment on costs:

Fees include all course and teaching materials, access to the live weeks and the online modules, as well as all social activities.

Travel and accommodation expenses are not included, but special rates will be agreed upon with selected hotels.

Location:

ZHAW School of Management and Law / Campus St.-Georgen-Platz, 8401 Winterthur
Online and in presence, in Switzerland and in California

Language of instruction:

English

Modules:

Module 1: Data Competence for Leaders
Online

Module 2: Data Design and Models
ZHAW Campus

Module 3 (online): Driving Insights and Impact
Online

Module 4: From Insights to Prediction
UC Davis Campus

Objectives and content

Target audience

The programme is designed for executives and managers working in data-intensive sectors such as finance, insurance, healthcare, marketing and customer analytics, as well as in industries affected by the data revolution and the Internet of Things.

Thanks to the CAS in Artificial Intelligence and Data Analysis, they will acquire and strengthen the necessary knowledge to lead data-intensive projects, to communicate effectively with data scientists and to seize the opportunities arising from the ongoing and ever-growing technological revolution of these years.

Objectives

After completing the program, participants will:

Acquire the necessary knowledge and comprehension of the most relevant issues in data competence, data design, and data representation.
Gain the ability to drive insights from different types of data, using a large variety of tools, from linear models to artificial neural networks, while also understanding the rationale behind the use of the different models.
Learn the vocabulary and the insights to be at ease with the latest and future trends in machine learning (e.g., large language models, generative adversarial networks).
Learn how to improve forecasting in a large spectrum of fields of application.

Content

Topics

The CAS in Artificial Intelligence and Data Analysis will cover the following topics, among others:

Types of data
Data management issues and solutions
Analytical decision making and business intelligence
Supervised and unsupervised machine learning models
Applied forecasting
Advanced topics in AI and ML, from computer vision to natural language processing.

Enquiries and contact

Head of Studies:
Prof. Dr. Pasquale Cirillo
+41 58 934 44 36
E-Mail
Weiterbildungs-Management:
Anette Kizilelma
+41 58 934 45 58
E-Mail
Administration:
Frank Ochinero
+41 58 934 48 08
E-Mail
UC Davis:
Prof. Dr. Ashwin Aravindakshan Nair
Graduate School of Management
University of California Davis
aaravind@ucdavis.edu